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https://aclanthology.org/2023.emnlp-main.301.bib | https://aclanthology.org/2023.emnlp-main.301/ | @inproceedings{kamath-etal-2023-text,
title = "Text encoders bottleneck compositionality in contrastive vision-language models",
author = "Kamath, Amita and
Hessel, Jack and
Chang, Kai-Wei",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings o... | Performant vision-language (VL) models like CLIP represent captions using a single vector. How much information about language is lost in this bottleneck? We first curate CompPrompts, a set of increasingly compositional image captions that VL models should be able to capture (e.g., single object, to object+property, to... | [
"Kamath, Amita",
"Hessel, Jack",
"Chang, Kai-Wei"
] | Text encoders bottleneck compositionality in contrastive vision-language models | emnlp-main.301 | 2305.14897 | [
"https://github.com/amitakamath/vl_text_encoders_are_bottlenecks"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.302.bib | https://aclanthology.org/2023.emnlp-main.302/ | @inproceedings{schulhoff-etal-2023-ignore,
title = "Ignore This Title and {H}ack{AP}rompt: Exposing Systemic Vulnerabilities of {LLM}s Through a Global Prompt Hacking Competition",
author = "Schulhoff, Sander and
Pinto, Jeremy and
Khan, Anaum and
Bouchard, Louis-Fran{\c{c}}ois and
Si... | Large Language Models (LLMs) are increasingly being deployed in interactive contexts that involve direct user engagement, such as chatbots and writing assistants. These deployments are increasingly plagued by prompt injection and jailbreaking (collectively, prompt hacking), in which models are manipulated to ignore the... | [
"Schulhoff, S",
"er",
"Pinto, Jeremy",
"Khan, Anaum",
"Bouchard, Louis-Fran{\\c{c}}ois",
"Si, Chenglei",
"Anati, Svetlina",
"Tagliabue, Valen",
"Kost, Anson",
"Carnahan, Christopher",
"Boyd-Graber, Jordan"
] | Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs Through a Global Prompt Hacking Competition | emnlp-main.302 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.303.bib | https://aclanthology.org/2023.emnlp-main.303/ | @inproceedings{li-etal-2023-mmnmt,
title = "{MMNMT}: Modularizing Multilingual Neural Machine Translation with Flexibly Assembled {M}o{E} and Dense Blocks",
author = "Li, Shangjie and
Wei, Xiangpeng and
Zhu, Shaolin and
Xie, Jun and
Yang, Baosong and
Xiong, Deyi",
editor =... | Mixture-of-Experts (MoE) based sparse architectures can significantly increase model capacity with sublinear computational overhead, which are hence widely used in massively multilingual neural machine translation (MNMT). However, they are prone to overfitting on low-resource language translation. In this paper, we pro... | [
"Li, Shangjie",
"Wei, Xiangpeng",
"Zhu, Shaolin",
"Xie, Jun",
"Yang, Baosong",
"Xiong, Deyi"
] | MMNMT: Modularizing Multilingual Neural Machine Translation with Flexibly Assembled MoE and Dense Blocks | emnlp-main.303 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.304.bib | https://aclanthology.org/2023.emnlp-main.304/ | @inproceedings{wu-etal-2023-localizing,
title = "Localizing Active Objects from Egocentric Vision with Symbolic World Knowledge",
author = "Wu, Te-Lin and
Zhou, Yu and
Peng, Nanyun",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 20... | The ability to actively ground task instructions from an egocentric view is crucial for AI agents to accomplish tasks or assist humans virtually. One important step towards this goal is to localize and track key active objects that undergo major state change as a consequence of human actions/interactions to the environ... | [
"Wu, Te-Lin",
"Zhou, Yu",
"Peng, Nanyun"
] | Localizing Active Objects from Egocentric Vision with Symbolic World Knowledge | emnlp-main.304 | 2310.15066 | [
"https://github.com/pluslabnlp/envision"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.305.bib | https://aclanthology.org/2023.emnlp-main.305/ | @inproceedings{bothwell-etal-2023-introducing,
title = "Introducing Rhetorical Parallelism Detection: A New Task with Datasets, Metrics, and Baselines",
author = {Bothwell, Stephen and
DeBenedetto, Justin and
Crnkovich, Theresa and
M{\"u}ller, Hildegund and
Chiang, David},
editor... | Rhetoric, both spoken and written, involves not only content but also style. One common stylistic tool is $\textit{parallelism}$: the juxtaposition of phrases which have the same sequence of linguistic ($\textit{e.g.}$, phonological, syntactic, semantic) features. Despite the ubiquity of parallelism, the field of natur... | [
"Bothwell, Stephen",
"DeBenedetto, Justin",
"Crnkovich, Theresa",
"M{\\\"u}ller, Hildegund",
"Chiang, David"
] | Introducing Rhetorical Parallelism Detection: A New Task with Datasets, Metrics, and Baselines | emnlp-main.305 | 2312.00100 | [
"https://github.com/mythologos/paibi-student-essays"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.306.bib | https://aclanthology.org/2023.emnlp-main.306/ | @inproceedings{hu-levy-2023-prompting,
title = "Prompting is not a substitute for probability measurements in large language models",
author = "Hu, Jennifer and
Levy, Roger",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference o... | Prompting is now a dominant method for evaluating the linguistic knowledge of large language models (LLMs). While other methods directly read out models{'} probability distributions over strings, prompting requires models to access this internal information by processing linguistic input, thereby implicitly testing a n... | [
"Hu, Jennifer",
"Levy, Roger"
] | Prompting is not a substitute for probability measurements in large language models | emnlp-main.306 | 2305.13264 | [
"https://github.com/jennhu/metalinguistic-prompting"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.307.bib | https://aclanthology.org/2023.emnlp-main.307/ | @inproceedings{jukic-snajder-2023-parameter,
title = "Parameter-Efficient Language Model Tuning with Active Learning in Low-Resource Settings",
author = "Juki{\'c}, Josip and
Snajder, Jan",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 20... | Pre-trained language models (PLMs) have ignited a surge in demand for effective fine-tuning techniques, particularly in low-resource domains and languages. Active learning (AL), a set of algorithms designed to decrease labeling costs by minimizing label complexity, has shown promise in confronting the labeling bottlene... | [
"Juki{\\'c}, Josip",
"Snajder, Jan"
] | Parameter-Efficient Language Model Tuning with Active Learning in Low-Resource Settings | emnlp-main.307 | null | [
"https://github.com/josipjukic/adapter-al"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.308.bib | https://aclanthology.org/2023.emnlp-main.308/ | @inproceedings{jacovi-etal-2023-stop,
title = "Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks",
author = "Jacovi, Alon and
Caciularu, Avi and
Goldman, Omer and
Goldberg, Yoav",
editor = "Bouamor, Houda and
P... | Data contamination has become prevalent and challenging with the rise of models pretrained on large automatically-crawled corpora. For closed models, the training data becomes a trade secret, and even for open models, it is not trivial to detect contamination. Strategies such as leaderboards with hidden answers, or usi... | [
"Jacovi, Alon",
"Caciularu, Avi",
"Goldman, Omer",
"Goldberg, Yoav"
] | Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks | emnlp-main.308 | 2305.10160 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.309.bib | https://aclanthology.org/2023.emnlp-main.309/ | @inproceedings{ainslie-etal-2023-colt5,
title = "{C}o{LT}5: Faster Long-Range Transformers with Conditional Computation",
author = "Ainslie, Joshua and
Lei, Tao and
de Jong, Michiel and
Ontanon, Santiago and
Brahma, Siddhartha and
Zemlyanskiy, Yury and
Uthus, David and... | Many natural language processing tasks benefit from long inputs, but processing long documents with Transformers is expensive {--} not only due to quadratic attention complexity but also from applying feedforward and projection layers to every token. However, not all tokens are equally important, especially for longer ... | [
"Ainslie, Joshua",
"Lei, Tao",
"de Jong, Michiel",
"Ontanon, Santiago",
"Brahma, Siddhartha",
"Zemlyanskiy, Yury",
"Uthus, David",
"Guo, M",
"y",
"Lee-Thorp, James",
"Tay, Yi",
"Sung, Yun-Hsuan",
"Sanghai, Sumit"
] | CoLT5: Faster Long-Range Transformers with Conditional Computation | emnlp-main.309 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.310.bib | https://aclanthology.org/2023.emnlp-main.310/ | @inproceedings{venkateswaran-etal-2023-district,
title = "{D}i{STRICT}: Dialogue State Tracking with Retriever Driven In-Context Tuning",
author = "Venkateswaran, Praveen and
Duesterwald, Evelyn and
Isahagian, Vatche",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
... | Dialogue State Tracking (DST), a key component of task-oriented conversation systems, represents user intentions by determining the values of pre-defined slots in an ongoing dialogue. Existing approaches use hand-crafted templates and additional slot information to fine-tune and prompt large pre-trained language models... | [
"Venkateswaran, Praveen",
"Duesterwald, Evelyn",
"Isahagian, Vatche"
] | DiSTRICT: Dialogue State Tracking with Retriever Driven In-Context Tuning | emnlp-main.310 | 2212.02851 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.311.bib | https://aclanthology.org/2023.emnlp-main.311/ | @inproceedings{wu-etal-2023-cross,
title = "Cross-Cultural Analysis of Human Values, Morals, and Biases in Folk Tales",
author = "Wu, Winston and
Wang, Lu and
Mihalcea, Rada",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conf... | Folk tales are strong cultural and social influences in children{'}s lives, and they are known to teach morals and values. However, existing studies on folk tales are largely limited to European tales. In our study, we compile a large corpus of over 1,900 tales originating from 27 diverse cultures across six continents... | [
"Wu, Winston",
"Wang, Lu",
"Mihalcea, Rada"
] | Cross-Cultural Analysis of Human Values, Morals, and Biases in Folk Tales | emnlp-main.311 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.312.bib | https://aclanthology.org/2023.emnlp-main.312/ | @inproceedings{zhong-etal-2023-non,
title = "Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-{SQL}",
author = "Zhong, Ruiqi and
Snell, Charlie and
Klein, Dan and
Eisner, Jason",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, ... | Can non-programmers annotate natural language utterances with complex programs that represent their meaning? We introduce APEL, a framework in which non-programmers select among candidate programs generated by a seed semantic parser (e.g., Codex). Since they cannot understand the candidate programs, we ask them to sele... | [
"Zhong, Ruiqi",
"Snell, Charlie",
"Klein, Dan",
"Eisner, Jason"
] | Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL | emnlp-main.312 | 2205.12422 | [
"https://github.com/ruiqi-zhong/emnlp23-apel"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.313.bib | https://aclanthology.org/2023.emnlp-main.313/ | @inproceedings{olausson-etal-2023-linc,
title = "{LINC}: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers",
author = "Olausson, Theo and
Gu, Alex and
Lipkin, Ben and
Zhang, Cedegao and
Solar-Lezama, Armando and
Tenenbau... | Logical reasoning, i.e., deductively inferring the truth value of a conclusion from a set of premises, is an important task for artificial intelligence with wide potential impacts on science, mathematics, and society. While many prompting-based strategies have been proposed to enable Large Language Models (LLMs) to do ... | [
"Olausson, Theo",
"Gu, Alex",
"Lipkin, Ben",
"Zhang, Cedegao",
"Solar-Lezama, Arm",
"o",
"Tenenbaum, Joshua",
"Levy, Roger"
] | LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers | emnlp-main.313 | 2310.15164 | [
"https://github.com/benlipkin/linc"
] | https://huggingface.co/papers/2310.15164 | 1 | 1 | 0 | 7 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.314.bib | https://aclanthology.org/2023.emnlp-main.314/ | @inproceedings{ma-etal-2023-non,
title = "Non-autoregressive Streaming Transformer for Simultaneous Translation",
author = "Ma, Zhengrui and
Zhang, Shaolei and
Guo, Shoutao and
Shao, Chenze and
Zhang, Min and
Feng, Yang",
editor = "Bouamor, Houda and
Pino, Juan and... | Simultaneous machine translation (SiMT) models are trained to strike a balance between latency and translation quality. However, training these models to achieve high quality while maintaining low latency often leads to a tendency for aggressive anticipation. We argue that such issue stems from the autoregressive archi... | [
"Ma, Zhengrui",
"Zhang, Shaolei",
"Guo, Shoutao",
"Shao, Chenze",
"Zhang, Min",
"Feng, Yang"
] | Non-autoregressive Streaming Transformer for Simultaneous Translation | emnlp-main.314 | null | [
"https://github.com/ictnlp/nast"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.315.bib | https://aclanthology.org/2023.emnlp-main.315/ | @inproceedings{nguyen-etal-2023-visobert,
title = "{V}i{S}o{BERT}: A Pre-Trained Language Model for {V}ietnamese Social Media Text Processing",
author = "Nguyen, Nam and
Phan, Thang and
Nguyen, Duc-Vu and
Nguyen, Kiet",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kal... | English and Chinese, known as resource-rich languages, have witnessed the strong development of transformer-based language models for natural language processing tasks. Although Vietnam has approximately 100M people speaking Vietnamese, several pre-trained models, e.g., PhoBERT, ViBERT, and vELECTRA, performed well on ... | [
"Nguyen, Nam",
"Phan, Thang",
"Nguyen, Duc-Vu",
"Nguyen, Kiet"
] | ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processing | emnlp-main.315 | 2310.11166 | [
"https://huggingface.co/uitnlp/visobert"
] | https://huggingface.co/papers/2310.11166 | 0 | 2 | 0 | 4 | [] | [] | [] | 1 | Oral |
https://aclanthology.org/2023.emnlp-main.316.bib | https://aclanthology.org/2023.emnlp-main.316/ | @inproceedings{meng-etal-2023-rapl,
title = "{RAPL}: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction",
author = "Meng, Shiao and
Hu, Xuming and
Liu, Aiwei and
Li, Shuang and
Ma, Fukun and
Yang, Yawen and
Wen, Lijie",
edit... | How to identify semantic relations among entities in a document when only a few labeled documents are available? Few-shot document-level relation extraction (FSDLRE) is crucial for addressing the pervasive data scarcity problem in real-world scenarios. Metric-based meta-learning is an effective framework widely adopted... | [
"Meng, Shiao",
"Hu, Xuming",
"Liu, Aiwei",
"Li, Shuang",
"Ma, Fukun",
"Yang, Yawen",
"Wen, Lijie"
] | RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction | emnlp-main.316 | null | [
"https://github.com/thu-bpm/rapl"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.317.bib | https://aclanthology.org/2023.emnlp-main.317/ | @inproceedings{li-etal-2023-geolm,
title = "{G}eo{LM}: Empowering Language Models for Geospatially Grounded Language Understanding",
author = "Li, Zekun and
Zhou, Wenxuan and
Chiang, Yao-Yi and
Chen, Muhao",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
bo... | Humans subconsciously engage in geospatial reasoning when reading articles. We recognize place names and their spatial relations in text and mentally associate them with their physical locations on Earth. Although pretrained language models can mimic this cognitive process using linguistic context, they do not utilize ... | [
"Li, Zekun",
"Zhou, Wenxuan",
"Chiang, Yao-Yi",
"Chen, Muhao"
] | GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding | emnlp-main.317 | 2310.14478 | [
"https://github.com/knowledge-computing/geolm"
] | https://huggingface.co/papers/2310.14478 | 1 | 1 | 0 | 4 | [
"zekun-li/geolm-base-cased"
] | [] | [
"jinwei12/test",
"zekun-li/geolm-linking"
] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.318.bib | https://aclanthology.org/2023.emnlp-main.318/ | @inproceedings{alukaev-etal-2023-cross,
title = "Cross-Modal Conceptualization in Bottleneck Models",
author = "Alukaev, Danis and
Kiselev, Semen and
Pershin, Ilya and
Ibragimov, Bulat and
Ivanov, Vladimir and
Kornaev, Alexey and
Titov, Ivan",
editor = "Bouamor, Hou... | Concept Bottleneck Models (CBMs) assume that training examples (e.g., x-ray images) are annotated with high-level concepts (e.g., types of abnormalities), and perform classification by first predicting the concepts, followed by predicting the label relying on these concepts. However, the primary challenge in employing ... | [
"Alukaev, Danis",
"Kiselev, Semen",
"Pershin, Ilya",
"Ibragimov, Bulat",
"Ivanov, Vladimir",
"Kornaev, Alexey",
"Titov, Ivan"
] | Cross-Modal Conceptualization in Bottleneck Models | emnlp-main.318 | null | [
"https://github.com/danisalukaev/shapes"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.319.bib | https://aclanthology.org/2023.emnlp-main.319/ | @inproceedings{hu-etal-2023-llm,
title = "{LLM}-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models",
author = "Hu, Zhiqiang and
Wang, Lei and
Lan, Yihuai and
Xu, Wanyu and
Lim, Ee-Peng and
Bing, Lidong and
Xu, Xing and
Poria,... | The success of large language models (LLMs), like GPT-4 and ChatGPT, has led to the development of numerous cost-effective and accessible alternatives that are created by finetuning open-access LLMs with task-specific data (e.g., ChatDoctor) or instruction data (e.g., Alpaca). Among the various fine-tuning methods, ada... | [
"Hu, Zhiqiang",
"Wang, Lei",
"Lan, Yihuai",
"Xu, Wanyu",
"Lim, Ee-Peng",
"Bing, Lidong",
"Xu, Xing",
"Poria, Soujanya",
"Lee, Roy"
] | LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models | emnlp-main.319 | null | [
"https://github.com/agi-edgerunners/llm-adapters"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.320.bib | https://aclanthology.org/2023.emnlp-main.320/ | @inproceedings{ruosch-etal-2023-dream,
title = "{DREAM}: Deployment of Recombination and Ensembles in Argument Mining",
author = "Ruosch, Florian and
Sarasua, Cristina and
Bernstein, Abraham",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings... | Current approaches to Argument Mining (AM) tend to take a holistic or black-box view of the overall pipeline. This paper, in contrast, aims to provide a solution to achieve increased performance based on current components instead of independent all-new solutions. To that end, it presents the Deployment of Recombinatio... | [
"Ruosch, Florian",
"Sarasua, Cristina",
"Bernstein, Abraham"
] | DREAM: Deployment of Recombination and Ensembles in Argument Mining | emnlp-main.320 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.321.bib | https://aclanthology.org/2023.emnlp-main.321/ | @inproceedings{datta-etal-2023-mildsum,
title = "{MILDS}um: A Novel Benchmark Dataset for Multilingual Summarization of {I}ndian Legal Case Judgments",
author = "Datta, Debtanu and
Soni, Shubham and
Mukherjee, Rajdeep and
Ghosh, Saptarshi",
editor = "Bouamor, Houda and
Pino, Juan... | Automatic summarization of legal case judgments is a practically important problem that has attracted substantial research efforts in many countries. In the context of the Indian judiciary, there is an additional complexity {--} Indian legal case judgments are mostly written in complex English, but a significant portio... | [
"Datta, Debtanu",
"Soni, Shubham",
"Mukherjee, Rajdeep",
"Ghosh, Saptarshi"
] | MILDSum: A Novel Benchmark Dataset for Multilingual Summarization of Indian Legal Case Judgments | emnlp-main.321 | 2310.18600 | [
"https://github.com/law-ai/mildsum"
] | https://huggingface.co/papers/2310.18600 | 1 | 0 | 0 | 4 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.322.bib | https://aclanthology.org/2023.emnlp-main.322/ | @inproceedings{ma-etal-2023-query,
title = "Query Rewriting in Retrieval-Augmented Large Language Models",
author = "Ma, Xinbei and
Gong, Yeyun and
He, Pengcheng and
Zhao, Hai and
Duan, Nan",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle =... | Large Language Models (LLMs) play powerful, black-box readers in the retrieve-then-read pipeline, making remarkable progress in knowledge-intensive tasks. This work introduces a new framework, Rewrite-Retrieve-Read instead of the previous retrieve-then-read for the retrieval-augmented LLMs from the perspective of the q... | [
"Ma, Xinbei",
"Gong, Yeyun",
"He, Pengcheng",
"Zhao, Hai",
"Duan, Nan"
] | Query Rewriting in Retrieval-Augmented Large Language Models | emnlp-main.322 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.323.bib | https://aclanthology.org/2023.emnlp-main.323/ | @inproceedings{sahu-etal-2023-promptmix,
title = "{P}rompt{M}ix: A Class Boundary Augmentation Method for Large Language Model Distillation",
author = "Sahu, Gaurav and
Vechtomova, Olga and
Bahdanau, Dzmitry and
Laradji, Issam",
editor = "Bouamor, Houda and
Pino, Juan and
... | Data augmentation is a widely used technique to address the problem of text classification when there is a limited amount of training data. Recent work often tackles this problem using large language models (LLMs) like GPT3 that can generate new examples given already available ones. In this work, we propose a method t... | [
"Sahu, Gaurav",
"Vechtomova, Olga",
"Bahdanau, Dzmitry",
"Laradji, Issam"
] | PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation | emnlp-main.323 | null | [
"https://github.com/servicenow/promptmix-emnlp-2023"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.324.bib | https://aclanthology.org/2023.emnlp-main.324/ | @inproceedings{maimon-tsarfaty-2023-cohesentia,
title = "{COHESENTIA}: A Novel Benchmark of Incremental versus Holistic Assessment of Coherence in Generated Texts",
author = "Maimon, Aviya and
Tsarfaty, Reut",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "P... | Coherence is a linguistic term that refers to the relations between small textual units (sentences, propositions), which make the text logically consistent and meaningful to the reader. With the advances of generative foundational models in NLP, there is a pressing need to automatically assess the human-perceived coher... | [
"Maimon, Aviya",
"Tsarfaty, Reut"
] | COHESENTIA: A Novel Benchmark of Incremental versus Holistic Assessment of Coherence in Generated Texts | emnlp-main.324 | 2310.16329 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.325.bib | https://aclanthology.org/2023.emnlp-main.325/ | @inproceedings{wu-etal-2023-qudeval,
title = "{QUD}eval: The Evaluation of Questions Under Discussion Discourse Parsing",
author = "Wu, Yating and
Mangla, Ritika and
Durrett, Greg and
Li, Junyi Jessy",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitl... | Questions Under Discussion (QUD) is a versatile linguistic framework in which discourse progresses as continuously asking questions and answering them. Automatic parsing of a discourse to produce a QUD structure thus entails a complex question generation task: given a document and an answer sentence, generate a questio... | [
"Wu, Yating",
"Mangla, Ritika",
"Durrett, Greg",
"Li, Junyi Jessy"
] | QUDeval: The Evaluation of Questions Under Discussion Discourse Parsing | emnlp-main.325 | null | [
"https://github.com/lingchensanwen/qudeval"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.326.bib | https://aclanthology.org/2023.emnlp-main.326/ | @inproceedings{yang-etal-2023-prca,
title = "{PRCA}: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter",
author = "Yang, Haoyan and
Li, Zhitao and
Zhang, Yong and
Wang, Jianzong and
Cheng, Ning and
Li, Ming ... | The Retrieval Question Answering (ReQA) task employs the retrieval-augmented framework, composed of a retriever and generator. The generators formulate the answer based on the documents retrieved by the retriever. Incorporating Large Language Models (LLMs) as generators is beneficial due to their advanced QA capabiliti... | [
"Yang, Haoyan",
"Li, Zhitao",
"Zhang, Yong",
"Wang, Jianzong",
"Cheng, Ning",
"Li, Ming",
"Xiao, Jing"
] | PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter | emnlp-main.326 | 2310.18347 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.327.bib | https://aclanthology.org/2023.emnlp-main.327/ | @inproceedings{tai-etal-2023-exploring,
title = "Exploring Chain of Thought Style Prompting for Text-to-{SQL}",
author = "Tai, Chang-Yu and
Chen, Ziru and
Zhang, Tianshu and
Deng, Xiang and
Sun, Huan",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
b... | In-context learning with large language models (LLMs) has recently caught increasing attention due to its superior few-shot performance on various tasks. However, its performance on text-to-SQL parsing still has much room for improvement. In this paper, we hypothesize that a crucial aspect of LLMs to improve for text-t... | [
"Tai, Chang-Yu",
"Chen, Ziru",
"Zhang, Tianshu",
"Deng, Xiang",
"Sun, Huan"
] | Exploring Chain of Thought Style Prompting for Text-to-SQL | emnlp-main.327 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.328.bib | https://aclanthology.org/2023.emnlp-main.328/ | @inproceedings{butoi-etal-2023-efficient,
title = "Efficient Algorithms for Recognizing Weighted Tree-Adjoining Languages",
author = "Butoi, Alexandra and
Vieira, Tim and
Cotterell, Ryan and
Chiang, David",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
boo... | The class of tree-adjoining languages can be characterized by various two-level formalisms, consisting of a context-free grammar (CFG) or pushdown automaton (PDA) controlling another CFG or PDA. These four formalisms are equivalent to tree-adjoining grammars (TAG), linear indexed grammars (LIG), pushdown-adjoining auto... | [
"Butoi, Alex",
"ra",
"Vieira, Tim",
"Cotterell, Ryan",
"Chiang, David"
] | Efficient Algorithms for Recognizing Weighted Tree-Adjoining Languages | emnlp-main.328 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.329.bib | https://aclanthology.org/2023.emnlp-main.329/ | @inproceedings{tian-etal-2023-harnessing,
title = "Harnessing Black-Box Control to Boost Commonsense in {LM}{'}s Generation",
author = "Tian, Yufei and
Zhang, Felix and
Peng, Nanyun",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2... | Large language models (LLMs) such as GPT-3 have demonstrated a strong capability to generate coherent and contextually relevant text. However, amidst their successes, a crucial issue persists: their generated outputs still lack commonsense at times. Moreover, fine-tuning the entire LLM towards more commonsensical outpu... | [
"Tian, Yufei",
"Zhang, Felix",
"Peng, Nanyun"
] | Harnessing Black-Box Control to Boost Commonsense in LM's Generation | emnlp-main.329 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.330.bib | https://aclanthology.org/2023.emnlp-main.330/ | @inproceedings{tian-etal-2023-just,
title = "Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback",
author = "Tian, Katherine and
Mitchell, Eric and
Zhou, Allan and
Sharma, Archit and
Rafailov, Rafael and... | A trustworthy real-world prediction system should produce well-calibrated confidence scores; that is, its confidence in an answer should be indicative of the likelihood that the answer is correct, enabling deferral to an expert in cases of low-confidence predictions. Recent studies have shown that unsupervised pre-trai... | [
"Tian, Katherine",
"Mitchell, Eric",
"Zhou, Allan",
"Sharma, Archit",
"Rafailov, Rafael",
"Yao, Huaxiu",
"Finn, Chelsea",
"Manning, Christopher"
] | Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback | emnlp-main.330 | 2305.14975 | [
""
] | https://huggingface.co/papers/2305.14975 | 0 | 1 | 0 | 8 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.331.bib | https://aclanthology.org/2023.emnlp-main.331/ | @inproceedings{yang-etal-2023-representative,
title = "Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process",
author = "Yang, Zhao and
Zhang, Yuanzhe and
Sui, Dianbo and
Liu, Cao and
Zhao, Jun and
Liu, Kang",
editor = "B... | Although In-Context Learning has proven effective across a broad array of tasks, its efficiency is noticeably influenced by the selection of demonstrations. Existing methods tend to select different demonstrations for each test instance, which is time-consuming and poses limitations in practical scenarios. Therefore, t... | [
"Yang, Zhao",
"Zhang, Yuanzhe",
"Sui, Dianbo",
"Liu, Cao",
"Zhao, Jun",
"Liu, Kang"
] | Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process | emnlp-main.331 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.332.bib | https://aclanthology.org/2023.emnlp-main.332/ | @inproceedings{hagstrom-etal-2023-effect,
title = "The Effect of Scaling, Retrieval Augmentation and Form on the Factual Consistency of Language Models",
author = {Hagstr{\"o}m, Lovisa and
Saynova, Denitsa and
Norlund, Tobias and
Johansson, Moa and
Johansson, Richard},
editor = "... | Large Language Models (LLMs) make natural interfaces to factual knowledge, but their usefulness is limited by their tendency to deliver inconsistent answers to semantically equivalent questions. For example, a model might supply the answer {``}Edinburgh{''} to {``}Anne Redpath passed away in X.{''} and {``}London{''} t... | [
"Hagstr{\\\"o}m, Lovisa",
"Saynova, Denitsa",
"Norlund, Tobias",
"Johansson, Moa",
"Johansson, Richard"
] | The Effect of Scaling, Retrieval Augmentation and Form on the Factual Consistency of Language Models | emnlp-main.332 | 2311.01307 | [
"https://github.com/dsaynova/pararel"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.333.bib | https://aclanthology.org/2023.emnlp-main.333/ | @inproceedings{shahmohammadi-etal-2023-vipe,
title = "{V}i{PE}: Visualise Pretty-much Everything",
author = "Shahmohammadi, Hassan and
Ghosh, Adhiraj and
Lensch, Hendrik",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conferen... | Figurative and non-literal expressions are profoundly integrated in human communication. Visualising such expressions allow us to convey our creative thoughts, and evoke nuanced emotions. Recent text-to-image models like Stable Diffusion, on the other hand, struggle to depict non-literal expressions. Recent works prima... | [
"Shahmohammadi, Hassan",
"Ghosh, Adhiraj",
"Lensch, Hendrik"
] | ViPE: Visualise Pretty-much Everything | emnlp-main.333 | null | [
"https://github.com/hazel1994/vipe"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.334.bib | https://aclanthology.org/2023.emnlp-main.334/ | @inproceedings{li-etal-2023-semi,
title = "Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language Models",
author = "Li, Junpeng and
Jia, Zixia and
Zheng, Zilong",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalik... | Document-level Relation Extraction (DocRE), which aims to extract relations from a long context, is a critical challenge in achieving fine-grained structural comprehension and generating interpretable document representations. Inspired by recent advances in in-context learning capabilities emergent from large language ... | [
"Li, Junpeng",
"Jia, Zixia",
"Zheng, Zilong"
] | Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language Models | emnlp-main.334 | 2311.07314 | [
"https://github.com/bigai-nlco/docgnre"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.335.bib | https://aclanthology.org/2023.emnlp-main.335/ | @inproceedings{zhou-etal-2023-navigating,
title = "Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models",
author = "Zhou, Kaitlyn and
Jurafsky, Dan and
Hashimoto, Tatsunori",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
... | The increased deployment of LMs for real-world tasks involving knowledge and facts makes it important to understand model epistemology: what LMs think they know, and how their attitudes toward that knowledge are affected by language use in their inputs. Here, we study an aspect of model epistemology: how epistemic mark... | [
"Zhou, Kaitlyn",
"Jurafsky, Dan",
"Hashimoto, Tatsunori"
] | Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models | emnlp-main.335 | 2302.13439 | [
""
] | https://huggingface.co/papers/2302.13439 | 2 | 0 | 0 | 3 | [] | [] | [] | 1 | Oral |
https://aclanthology.org/2023.emnlp-main.336.bib | https://aclanthology.org/2023.emnlp-main.336/ | @inproceedings{wu-etal-2023-elaborative,
title = "Elaborative Simplification as Implicit Questions Under Discussion",
author = "Wu, Yating and
Sheffield, William and
Mahowald, Kyle and
Li, Junyi Jessy",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktit... | Automated text simplification, a technique useful for making text more accessible to people such as children and emergent bilinguals, is often thought of as a monolingual translation task from complex sentences to simplified sentences using encoder-decoder models. This view fails to account for elaborative simplificati... | [
"Wu, Yating",
"Sheffield, William",
"Mahowald, Kyle",
"Li, Junyi Jessy"
] | Elaborative Simplification as Implicit Questions Under Discussion | emnlp-main.336 | 2305.10387 | [
""
] | https://huggingface.co/papers/2305.10387 | 0 | 0 | 0 | 4 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.337.bib | https://aclanthology.org/2023.emnlp-main.337/ | @inproceedings{mehra-etal-2023-entsumv2,
title = "{E}nt{SUM}v2: Dataset, Models and Evaluation for More Abstractive Entity-Centric Summarization",
author = "Mehra, Dhruv and
Xie, Lingjue and
Hofmann-Coyle, Ella and
Kulkarni, Mayank and
Preotiuc-Pietro, Daniel",
editor = "Bouamor,... | Entity-centric summarization is a form of controllable summarization that aims to generate a summary for a specific entity given a document. Concise summaries are valuable in various real-life applications, as they enable users to quickly grasp the main points of the document focusing on an entity of interest. This pap... | [
"Mehra, Dhruv",
"Xie, Lingjue",
"Hofmann-Coyle, Ella",
"Kulkarni, Mayank",
"Preotiuc-Pietro, Daniel"
] | EntSUMv2: Dataset, Models and Evaluation for More Abstractive Entity-Centric Summarization | emnlp-main.337 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.338.bib | https://aclanthology.org/2023.emnlp-main.338/ | @inproceedings{singh-etal-2023-scirepeval,
title = "{S}ci{R}ep{E}val: A Multi-Format Benchmark for Scientific Document Representations",
author = "Singh, Amanpreet and
D{'}Arcy, Mike and
Cohan, Arman and
Downey, Doug and
Feldman, Sergey",
editor = "Bouamor, Houda and
Pino,... | Learned representations of scientific documents can serve as valuable input features for downstream tasks without further fine-tuning. However, existing benchmarks for evaluating these representations fail to capture the diversity of relevant tasks. In response, we introduce SciRepEval, the first comprehensive benchmar... | [
"Singh, Amanpreet",
"D{'}Arcy, Mike",
"Cohan, Arman",
"Downey, Doug",
"Feldman, Sergey"
] | SciRepEval: A Multi-Format Benchmark for Scientific Document Representations | emnlp-main.338 | null | [
"https://github.com/allenai/specter2"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.339.bib | https://aclanthology.org/2023.emnlp-main.339/ | @inproceedings{dhuliawala-etal-2023-diachronic,
title = "A Diachronic Perspective on User Trust in {AI} under Uncertainty",
author = "Dhuliawala, Shehzaad and
Zouhar, Vil{\'e}m and
El-Assady, Mennatallah and
Sachan, Mrinmaya",
editor = "Bouamor, Houda and
Pino, Juan and
Ba... | In human-AI collaboration, users typically form a mental model of the AI system, which captures the user{'}s beliefs about when the system performs well and when it does not. The construction of this mental model is guided by both the system{'}s veracity as well as the system output presented to the user e.g., the syst... | [
"Dhuliawala, Shehzaad",
"Zouhar, Vil{\\'e}m",
"El-Assady, Mennatallah",
"Sachan, Mrinmaya"
] | A Diachronic Perspective on User Trust in AI under Uncertainty | emnlp-main.339 | 2310.13544 | [
"https://github.com/zouharvi/trust-intervention"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.340.bib | https://aclanthology.org/2023.emnlp-main.340/ | @inproceedings{lv-etal-2023-ct,
title = "{CT}-{GAT}: Cross-Task Generative Adversarial Attack based on Transferability",
author = "Lv, Minxuan and
Dai, Chengwei and
Li, Kun and
Zhou, Wei and
Hu, Songlin",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
... | Neural network models are vulnerable to adversarial examples, and adversarial transferability further increases the risk of adversarial attacks. Current methods based on transferability often rely on substitute models, which can be impractical and costly in real-world scenarios due to the unavailability of training dat... | [
"Lv, Minxuan",
"Dai, Chengwei",
"Li, Kun",
"Zhou, Wei",
"Hu, Songlin"
] | CT-GAT: Cross-Task Generative Adversarial Attack based on Transferability | emnlp-main.340 | null | [
"https://github.com/xiaoxuannlp/ct-gat"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.341.bib | https://aclanthology.org/2023.emnlp-main.341/ | @inproceedings{yu-etal-2023-improving-long,
title = "Improving Long Document Topic Segmentation Models With Enhanced Coherence Modeling",
author = "Yu, Hai and
Deng, Chong and
Zhang, Qinglin and
Liu, Jiaqing and
Chen, Qian and
Wang, Wen",
editor = "Bouamor, Houda and
... | Topic segmentation is critical for obtaining structured documents and improving down- stream tasks such as information retrieval. Due to its ability of automatically exploring clues of topic shift from abundant labeled data, recent supervised neural models have greatly promoted the development of long document topic se... | [
"Yu, Hai",
"Deng, Chong",
"Zhang, Qinglin",
"Liu, Jiaqing",
"Chen, Qian",
"Wang, Wen"
] | Improving Long Document Topic Segmentation Models With Enhanced Coherence Modeling | emnlp-main.341 | 2310.11772 | [
"https://github.com/alibaba-damo-academy/spokennlp"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.342.bib | https://aclanthology.org/2023.emnlp-main.342/ | @inproceedings{chae-etal-2023-dialogue,
title = "Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents",
author = "Chae, Hyungjoo and
Song, Yongho and
Ong, Kai and
Kwon, Taeyoon and
Kim, Minjin and
Yu, Youngjae and
Lee, Dongha and
Kan... | Human-like chatbots necessitate the use of commonsense reasoning in order to effectively comprehend and respond to implicit information present within conversations. Achieving such coherence and informativeness in responses, however, is a non-trivial task. Even for large language models (LLMs), the task of identifying ... | [
"Chae, Hyungjoo",
"Song, Yongho",
"Ong, Kai",
"Kwon, Taeyoon",
"Kim, Minjin",
"Yu, Youngjae",
"Lee, Dongha",
"Kang, Dongyeop",
"Yeo, Jinyoung"
] | Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents | emnlp-main.342 | 2310.09343 | [
"https://github.com/kyle8581/dialoguecot"
] | https://huggingface.co/papers/2310.09343 | 4 | 2 | 0 | 9 | [
"DLI-Lab/DOCTOR"
] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.343.bib | https://aclanthology.org/2023.emnlp-main.343/ | @inproceedings{giulianelli-etal-2023-information,
title = "Information Value: Measuring Utterance Predictability as Distance from Plausible Alternatives",
author = "Giulianelli, Mario and
Wallbridge, Sarenne and
Fern{\'a}ndez, Raquel",
editor = "Bouamor, Houda and
Pino, Juan and
... | We present information value, a measure which quantifies the predictability of an utterance relative to a set of plausible alternatives. We introduce a method to obtain interpretable estimates of information value using neural text generators, and exploit their psychometric predictive power to investigate the dimension... | [
"Giulianelli, Mario",
"Wallbridge, Sarenne",
"Fern{\\'a}ndez, Raquel"
] | Information Value: Measuring Utterance Predictability as Distance from Plausible Alternatives | emnlp-main.343 | 2310.13676 | [
"https://github.com/dmg-illc/information-value"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.344.bib | https://aclanthology.org/2023.emnlp-main.344/ | @inproceedings{miao-etal-2023-generating,
title = "Generating Commonsense Counterfactuals for Stable Relation Extraction",
author = "Miao, Xin and
Li, Yongqi and
Qian, Tieyun",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Con... | Recent studies on counterfactual augmented data have achieved great success in the coarse-grained natural language processing tasks. However, existing methods encounter two major problems when dealing with the fine-grained relation extraction tasks. One is that they struggle to accurately identify causal terms under th... | [
"Miao, Xin",
"Li, Yongqi",
"Qian, Tieyun"
] | Generating Commonsense Counterfactuals for Stable Relation Extraction | emnlp-main.344 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.345.bib | https://aclanthology.org/2023.emnlp-main.345/ | @inproceedings{deshpande-etal-2023-c,
title = "{C}-{STS}: Conditional Semantic Textual Similarity",
author = "Deshpande, Ameet and
Jimenez, Carlos and
Chen, Howard and
Murahari, Vishvak and
Graf, Victoria and
Rajpurohit, Tanmay and
Kalyan, Ashwin and
Chen, Danqi ... | Semantic textual similarity (STS) has been a cornerstone task in NLP that measures the degree of similarity between a pair of sentences, with applications in information retrieval, question answering, and embedding methods. However, it is an inherently ambiguous task, with the sentence similarity depending on the speci... | [
"Deshp",
"e, Ameet",
"Jimenez, Carlos",
"Chen, Howard",
"Murahari, Vishvak",
"Graf, Victoria",
"Rajpurohit, Tanmay",
"Kalyan, Ashwin",
"Chen, Danqi",
"Narasimhan, Karthik"
] | C-STS: Conditional Semantic Textual Similarity | emnlp-main.345 | null | [
"https://github.com/princeton-nlp/c-sts"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.346.bib | https://aclanthology.org/2023.emnlp-main.346/ | @inproceedings{goldfarb-tarrant-etal-2023-cross,
title = "Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis",
author = {Goldfarb-Tarrant, Seraphina and
Ross, Bj{\"o}rn and
Lopez, Adam},
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceed... | Sentiment analysis (SA) systems are widely deployed in many of the world{'}s languages, and there is well-documented evidence of demographic bias in these systems. In languages beyond English, scarcer training data is often supplemented with transfer learning using pre-trained models, including multilingual models trai... | [
"Goldfarb-Tarrant, Seraphina",
"Ross, Bj{\\\"o}rn",
"Lopez, Adam"
] | Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis | emnlp-main.346 | 2305.12709 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.347.bib | https://aclanthology.org/2023.emnlp-main.347/ | @inproceedings{yang-etal-2023-rumor,
title = "Rumor Detection on Social Media with Crowd Intelligence and {C}hat{GPT}-Assisted Networks",
author = "Yang, Chang and
Zhang, Peng and
Qiao, Wenbo and
Gao, Hui and
Zhao, Jiaming",
editor = "Bouamor, Houda and
Pino, Juan and
... | In the era of widespread dissemination through social media, the task of rumor detection plays a pivotal role in establishing a trustworthy and reliable information environment. Nonetheless, existing research on rumor detection confronts several challenges: the limited expressive power of text encoding sequences, diffi... | [
"Yang, Chang",
"Zhang, Peng",
"Qiao, Wenbo",
"Gao, Hui",
"Zhao, Jiaming"
] | Rumor Detection on Social Media with Crowd Intelligence and ChatGPT-Assisted Networks | emnlp-main.347 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.348.bib | https://aclanthology.org/2023.emnlp-main.348/ | @inproceedings{zhang-etal-2023-grounding,
title = "Grounding Visual Illusions in Language: Do Vision-Language Models Perceive Illusions Like Humans?",
author = "Zhang, Yichi and
Pan, Jiayi and
Zhou, Yuchen and
Pan, Rui and
Chai, Joyce",
editor = "Bouamor, Houda and
Pino, J... | Vision-Language Models (VLMs) are trained on vast amounts of data captured by humans emulating our understanding of the world. However, known as visual illusions, human{'}s perception of reality isn{'}t always faithful to the physical world. This raises a key question: do VLMs have the similar kind of illusions as huma... | [
"Zhang, Yichi",
"Pan, Jiayi",
"Zhou, Yuchen",
"Pan, Rui",
"Chai, Joyce"
] | Grounding Visual Illusions in Language: Do Vision-Language Models Perceive Illusions Like Humans? | emnlp-main.348 | 2311.00047 | [
"https://github.com/vl-illusion/dataset"
] | https://huggingface.co/papers/2311.00047 | 3 | 8 | 1 | 5 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.349.bib | https://aclanthology.org/2023.emnlp-main.349/ | @inproceedings{heppell-etal-2023-analysing,
title = "Analysing State-Backed Propaganda Websites: a New Dataset and Linguistic Study",
author = "Heppell, Freddy and
Bontcheva, Kalina and
Scarton, Carolina",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle =... | This paper analyses two hitherto unstudied sites sharing state-backed disinformation, Reliable Recent News (rrn.world) and WarOnFakes (waronfakes.com), which publish content in Arabic, Chinese, English, French, German, and Spanish. We describe our content acquisition methodology and perform cross-site unsupervised topi... | [
"Heppell, Freddy",
"Bontcheva, Kalina",
"Scarton, Carolina"
] | Analysing State-Backed Propaganda Websites: a New Dataset and Linguistic Study | emnlp-main.349 | null | [
"https://github.com/gatenlp/wordpress-site-extractor"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.350.bib | https://aclanthology.org/2023.emnlp-main.350/ | @inproceedings{zhu-etal-2023-controllable,
title = "Controllable Contrastive Generation for Multilingual Biomedical Entity Linking",
author = "Zhu, Tiantian and
Qin, Yang and
Chen, Qingcai and
Mu, Xin and
Yu, Changlong and
Xiang, Yang",
editor = "Bouamor, Houda and
... | Multilingual biomedical entity linking (MBEL) aims to map language-specific mentions in the biomedical text to standardized concepts in a multilingual knowledge base (KB) such as Unified Medical Language System (UMLS). In this paper, we propose Con2GEN, a prompt-based controllable contrastive generation framework for M... | [
"Zhu, Tiantian",
"Qin, Yang",
"Chen, Qingcai",
"Mu, Xin",
"Yu, Changlong",
"Xiang, Yang"
] | Controllable Contrastive Generation for Multilingual Biomedical Entity Linking | emnlp-main.350 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.351.bib | https://aclanthology.org/2023.emnlp-main.351/ | @inproceedings{do-etal-2023-hyperrouter,
title = "{H}yper{R}outer: Towards Efficient Training and Inference of Sparse Mixture of Experts",
author = "Do, Truong Giang and
Khiem, Le and
Pham, Quang and
Nguyen, TrungTin and
Doan, Thanh-Nam and
Nguyen, Binh and
Liu, Chengha... | By routing input tokens to only a few split experts, Sparse Mixture-of-Experts has enabled efficient training of large language models. Recent findings suggest that fixing the routers can achieve competitive performance by alleviating the collapsing problem, where all experts eventually learn similar representations. H... | [
"Do, Truong Giang",
"Khiem, Le",
"Pham, Quang",
"Nguyen, TrungTin",
"Doan, Thanh-Nam",
"Nguyen, Binh",
"Liu, Chenghao",
"Ramasamy, Savitha",
"Li, Xiaoli",
"Hoi, Steven"
] | HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts | emnlp-main.351 | null | [
"https://github.com/giangdip2410/hyperrouter"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.352.bib | https://aclanthology.org/2023.emnlp-main.352/ | @inproceedings{zhang-yang-2023-mediahg,
title = "{M}edia{HG}: Rethinking Eye-catchy Features in Social Media Headline Generation",
author = "Zhang, Boning and
Yang, Yang",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference on E... | An attractive blog headline on social media platforms can immediately grab readers and trigger more clicks. However, a good headline shall not only contract the main content but also be eye-catchy with domain platform features, which are decided by the website{'}s users and objectives. With effective headlines, blogger... | [
"Zhang, Boning",
"Yang, Yang"
] | MediaHG: Rethinking Eye-catchy Features in Social Media Headline Generation | emnlp-main.352 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.353.bib | https://aclanthology.org/2023.emnlp-main.353/ | @inproceedings{xu-etal-2023-fine,
title = "Fine-tuned {LLM}s Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over {W}ikidata",
author = "Xu, Silei and
Liu, Shicheng and
Culhane, Theo and
Pertseva, Elizaveta and
Wu, Meng-Hsi and
Semnani, Sina an... | While large language models (LLMs) can answer many questions correctly, they can also hallucinate and give wrong answers. Wikidata, with its over 12 billion facts, can be used to ground LLMs to improve their factuality. This paper presents WikiWebQuestions, a high-quality question answering benchmark for Wikidata. Port... | [
"Xu, Silei",
"Liu, Shicheng",
"Culhane, Theo",
"Pertseva, Elizaveta",
"Wu, Meng-Hsi",
"Semnani, Sina",
"Lam, Monica"
] | Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata | emnlp-main.353 | 2305.14202 | [
"https://github.com/stanford-oval/wikidata-emnlp23"
] | https://huggingface.co/papers/2305.14202 | 2 | 0 | 0 | 7 | [
"stanford-oval/llama-7b-wikiwebquestions-qald7",
"stanford-oval/llama-7b-wikiwebquestions"
] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.354.bib | https://aclanthology.org/2023.emnlp-main.354/ | @inproceedings{mekala-etal-2023-zerotop,
title = "{ZEROTOP}: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models",
author = "Mekala, Dheeraj and
Wolfe, Jason and
Roy, Subhro",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings... | We explore the use of large language models (LLMs) for zero-shot semantic parsing. Semantic parsing involves mapping natural language utterances to task-specific meaning representations. LLMs are generally trained on publicly available text and code and cannot be expected to directly generalize to domain-specific parsi... | [
"Mekala, Dheeraj",
"Wolfe, Jason",
"Roy, Subhro"
] | ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models | emnlp-main.354 | 2212.10815 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.355.bib | https://aclanthology.org/2023.emnlp-main.355/ | @inproceedings{bout-etal-2023-efficient,
title = "Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule",
author = "Bout, Andrey and
Podolskiy, Alexander and
Nikolenko, Sergey and
Piontkovskaya, Irina",
editor = "Bouamor, Houda and
Pino, J... | Progress in neural grammatical error correction (GEC) is hindered by the lack of annotated training data. Sufficient amounts of high-quality manually annotated data are not available, so recent research has relied on generating synthetic data, pretraining on it, and then fine-tuning on real datasets; performance gains ... | [
"Bout, Andrey",
"Podolskiy, Alex",
"er",
"Nikolenko, Sergey",
"Piontkovskaya, Irina"
] | Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule | emnlp-main.355 | 2311.11813 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.356.bib | https://aclanthology.org/2023.emnlp-main.356/ | @inproceedings{chen-etal-2023-bla,
title = "The {BLA} Benchmark: Investigating Basic Language Abilities of Pre-Trained Multimodal Models",
author = "Chen, Xinyi and
Fern{\'a}ndez, Raquel and
Pezzelle, Sandro",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktit... | Despite the impressive performance achieved by pre-trained language-and-vision models in downstream tasks, it remains an open question whether this reflects a proper understanding of image-text interaction. In this work, we explore to what extent they handle basic linguistic constructions{---}active-passive voice, coor... | [
"Chen, Xinyi",
"Fern{\\'a}ndez, Raquel",
"Pezzelle, S",
"ro"
] | The BLA Benchmark: Investigating Basic Language Abilities of Pre-Trained Multimodal Models | emnlp-main.356 | 2310.15061 | [
"https://github.com/shin-ee-chen/bla"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.357.bib | https://aclanthology.org/2023.emnlp-main.357/ | @inproceedings{darrin-etal-2023-rainproof,
title = "{R}ain{P}roof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data",
author = "Darrin, Maxime and
Piantanida, Pablo and
Colombo, Pierre",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = ... | Implementing effective control mechanisms to ensure the proper functioning and security of deployed NLP models, from translation to chatbots, is essential. A key ingredient to ensure safe system behaviour is Out-Of-Distribution (OOD) detection, which aims to detect whether an input sample is statistically far from the ... | [
"Darrin, Maxime",
"Piantanida, Pablo",
"Colombo, Pierre"
] | RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data | emnlp-main.357 | 2212.09171 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.358.bib | https://aclanthology.org/2023.emnlp-main.358/ | @inproceedings{ma-etal-2023-kepl,
title = "{KEPL}: Knowledge Enhanced Prompt Learning for {C}hinese Hypernym-Hyponym Extraction",
author = "Ma, Ningchen and
Wang, Dong and
Bao, Hongyun and
He, Lei and
Zheng, Suncong",
editor = "Bouamor, Houda and
Pino, Juan and
Bali... | Modeling hypernym-hyponym ({``}is-a{''}) relations is very important for many natural language processing (NLP) tasks, such as classification, natural language inference and relation extraction. Existing work on is-a relation extraction is mostly in the English language environment. Due to the flexibility of language e... | [
"Ma, Ningchen",
"Wang, Dong",
"Bao, Hongyun",
"He, Lei",
"Zheng, Suncong"
] | KEPL: Knowledge Enhanced Prompt Learning for Chinese Hypernym-Hyponym Extraction | emnlp-main.358 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.359.bib | https://aclanthology.org/2023.emnlp-main.359/ | @inproceedings{chen-etal-2023-ditto,
title = "Ditto: A Simple and Efficient Approach to Improve Sentence Embeddings",
author = "Chen, Qian and
Wang, Wen and
Zhang, Qinglin and
Zheng, Siqi and
Deng, Chong and
Yu, Hai and
Liu, Jiaqing and
Ma, Yukun and
Zhang... | Prior studies diagnose the anisotropy problem in sentence representations from pre-trained language models, e.g., BERT, without fine-tuning. Our analysis reveals that the sentence embeddings from BERT suffer from a bias towards uninformative words, limiting the performance in semantic textual similarity (STS) tasks. To... | [
"Chen, Qian",
"Wang, Wen",
"Zhang, Qinglin",
"Zheng, Siqi",
"Deng, Chong",
"Yu, Hai",
"Liu, Jiaqing",
"Ma, Yukun",
"Zhang, Chong"
] | Ditto: A Simple and Efficient Approach to Improve Sentence Embeddings | emnlp-main.359 | 2305.10786 | [
"https://github.com/alibaba-damo-academy/spokennlp"
] | https://huggingface.co/papers/2305.10786 | 0 | 0 | 0 | 9 | [] | [] | [] | 1 | Oral |
https://aclanthology.org/2023.emnlp-main.360.bib | https://aclanthology.org/2023.emnlp-main.360/ | @inproceedings{qi-etal-2023-preserving,
title = "Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction",
author = "Qi, Ji and
Zhang, Chuchun and
Wang, Xiaozhi and
Zeng, Kaisheng and
Yu, Jifan and
Liu, Jinxin and
Hou, Lei and
... | The robustness to distribution changes ensures that NLP models can be successfully applied in the realistic world, especially for information extraction tasks. However, most prior evaluation benchmarks have been devoted to validating pairwise matching correctness, ignoring the crucial validation of robustness. In this ... | [
"Qi, Ji",
"Zhang, Chuchun",
"Wang, Xiaozhi",
"Zeng, Kaisheng",
"Yu, Jifan",
"Liu, Jinxin",
"Hou, Lei",
"Li, Juanzi",
"Bin, Xu"
] | Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction | emnlp-main.360 | 2305.13981 | [
"https://github.com/qijimrc/robust"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.361.bib | https://aclanthology.org/2023.emnlp-main.361/ | @inproceedings{kaffee-etal-2023-article,
title = "Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual {W}ikipedia Editor Discussions",
author = "Kaffee, Lucie-Aim{\'e}e and
Arora, Arnav and
Augenstein, Isabelle",
editor = "Bouamor, Houda and
Pino, Juan and
... | The moderation of content on online platforms is usually non-transparent. On Wikipedia, however, this discussion is carried out publicly and editors are encouraged to use the content moderation policies as explanations for making moderation decisions. Currently, only a few comments explicitly mention those policies {--... | [
"Kaffee, Lucie-Aim{\\'e}e",
"Arora, Arnav",
"Augenstein, Isabelle"
] | Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions | emnlp-main.361 | 2310.05779 | [
"https://github.com/copenlu/wiki-stance"
] | https://huggingface.co/papers/2310.05779 | 0 | 0 | 0 | 3 | [] | [
"copenlu/wiki-stance"
] | [] | 1 | Oral |
https://aclanthology.org/2023.emnlp-main.362.bib | https://aclanthology.org/2023.emnlp-main.362/ | @inproceedings{bae-etal-2023-fast,
title = "Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding",
author = "Bae, Sangmin and
Ko, Jongwoo and
Song, Hwanjun and
Yun, Se-Young",
editor = "Bouamor, Houda and
Pino, Juan and
... | To tackle the high inference latency exhibited by autoregressive language models, previous studies have proposed an early-exiting framework that allocates adaptive computation paths for each token based on the complexity of generating the subsequent token. However, we observed several shortcomings, including performanc... | [
"Bae, Sangmin",
"Ko, Jongwoo",
"Song, Hwanjun",
"Yun, Se-Young"
] | Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding | emnlp-main.362 | 2310.05424 | [
"https://github.com/raymin0223/fast_robust_early_exit"
] | https://huggingface.co/papers/2310.05424 | 0 | 1 | 0 | 4 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.363.bib | https://aclanthology.org/2023.emnlp-main.363/ | @inproceedings{qin-etal-2023-end,
title = "End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions",
author = "Qin, Libo and
Pan, Wenbo and
Chen, Qiguang and
Liao, Lizi and
Yu, Zhou and
Zhang, Yue and
Che, Wanxiang and
Li, Min",
e... | End-to-end task-oriented dialogue (EToD) can directly generate responses in an end-to-end fashion without modular training, which attracts escalating popularity. The advancement of deep neural networks, especially the successful use of large pre-trained models, has further led to significant progress in EToD research i... | [
"Qin, Libo",
"Pan, Wenbo",
"Chen, Qiguang",
"Liao, Lizi",
"Yu, Zhou",
"Zhang, Yue",
"Che, Wanxiang",
"Li, Min"
] | End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions | emnlp-main.363 | 2311.09008 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.364.bib | https://aclanthology.org/2023.emnlp-main.364/ | @inproceedings{yoran-etal-2023-answering,
title = "Answering Questions by Meta-Reasoning over Multiple Chains of Thought",
author = "Yoran, Ori and
Wolfson, Tomer and
Bogin, Ben and
Katz, Uri and
Deutch, Daniel and
Berant, Jonathan",
editor = "Bouamor, Houda and
Pin... | Modern systems for multi-hop question answering (QA) typically break questions into a sequence of reasoning steps, termed chain-of-thought (CoT), before arriving at a final answer. Often, multiple chains are sampled and aggregated through a voting mechanism over the final answers, but the intermediate steps themselves ... | [
"Yoran, Ori",
"Wolfson, Tomer",
"Bogin, Ben",
"Katz, Uri",
"Deutch, Daniel",
"Berant, Jonathan"
] | Answering Questions by Meta-Reasoning over Multiple Chains of Thought | emnlp-main.364 | 2304.13007 | [
"https://github.com/oriyor/reasoning-on-cots"
] | https://huggingface.co/papers/2304.13007 | 2 | 1 | 0 | 6 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.365.bib | https://aclanthology.org/2023.emnlp-main.365/ | @inproceedings{xu-etal-2023-instructscore,
title = "{INSTRUCTSCORE}: Towards Explainable Text Generation Evaluation with Automatic Feedback",
author = "Xu, Wenda and
Wang, Danqing and
Pan, Liangming and
Song, Zhenqiao and
Freitag, Markus and
Wang, William and
Li, Lei",
... | Automatically evaluating the quality of language generation is critical. Although recent learned metrics show high correlation with human judgement, these metrics do not provide explicit explanation of their verdict, nor associate the scores with defects in the generated text. To address this limitation, we present INS... | [
"Xu, Wenda",
"Wang, Danqing",
"Pan, Liangming",
"Song, Zhenqiao",
"Freitag, Markus",
"Wang, William",
"Li, Lei"
] | INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback | emnlp-main.365 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.366.bib | https://aclanthology.org/2023.emnlp-main.366/ | @inproceedings{li-etal-2023-multi-level,
title = "Multi-level Contrastive Learning for Script-based Character Understanding",
author = "Li, Dawei and
Zhang, Hengyuan and
Li, Yanran and
Yang, Shiping",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle... | In this work, we tackle the scenario of understanding characters in scripts, which aims to learn the characters{'} personalities and identities from their utterances. We begin by analyzing several challenges in this scenario, and then propose a multi-level contrastive learning framework to capture characters{'} global ... | [
"Li, Dawei",
"Zhang, Hengyuan",
"Li, Yanran",
"Yang, Shiping"
] | Multi-level Contrastive Learning for Script-based Character Understanding | emnlp-main.366 | 2310.13231 | [
"https://github.com/david-li0406/script-based-character-understanding"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.367.bib | https://aclanthology.org/2023.emnlp-main.367/ | @inproceedings{seo-etal-2023-chef,
title = "{CHEF} in the Language Kitchen: A Generative Data Augmentation Leveraging {K}orean Morpheme Ingredients",
author = "Seo, Jaehyung and
Moon, Hyeonseok and
Lee, Jaewook and
Eo, Sugyeong and
Park, Chanjun and
Lim, Heuiseok",
editor ... | Korean morphological variations present unique opportunities and challenges in natural language processing (NLP), necessitating an advanced understanding of morpheme-based sentence construction. The complexity of morphological variations allows for diverse sentence forms based on the syntactic-semantic integration of f... | [
"Seo, Jaehyung",
"Moon, Hyeonseok",
"Lee, Jaewook",
"Eo, Sugyeong",
"Park, Chanjun",
"Lim, Heuiseok"
] | CHEF in the Language Kitchen: A Generative Data Augmentation Leveraging Korean Morpheme Ingredients | emnlp-main.367 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.368.bib | https://aclanthology.org/2023.emnlp-main.368/ | @inproceedings{ruiz-dolz-etal-2023-automatic,
title = "Automatic Debate Evaluation with Argumentation Semantics and Natural Language Argument Graph Networks",
author = "Ruiz-Dolz, Ramon and
Heras, Stella and
Garcia, Ana",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",... | The lack of annotated data on professional argumentation and complete argumentative debates has led to the oversimplification and the inability of approaching more complex natural language processing tasks. Such is the case of the automatic evaluation of complete professional argumentative debates. In this paper, we pr... | [
"Ruiz-Dolz, Ramon",
"Heras, Stella",
"Garcia, Ana"
] | Automatic Debate Evaluation with Argumentation Semantics and Natural Language Argument Graph Networks | emnlp-main.368 | 2203.14647 | [
"https://github.com/raruidol/argumentevaluation"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.369.bib | https://aclanthology.org/2023.emnlp-main.369/ | @inproceedings{razumovskaia-etal-2023-transfer,
title = "Transfer-Free Data-Efficient Multilingual Slot Labeling",
author = "Razumovskaia, Evgeniia and
Vuli{\'c}, Ivan and
Korhonen, Anna",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of ... | Slot labeling (SL) is a core component of task-oriented dialogue (TOD) systems, where slots and corresponding values are usually language-, task- and domain-specific. Therefore, extending the system to any new language-domain-task configuration requires (re)running an expensive and resource-intensive data annotation pr... | [
"Razumovskaia, Evgeniia",
"Vuli{\\'c}, Ivan",
"Korhonen, Anna"
] | Transfer-Free Data-Efficient Multilingual Slot Labeling | emnlp-main.369 | 2305.13528 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.370.bib | https://aclanthology.org/2023.emnlp-main.370/ | @inproceedings{yang-etal-2023-towards,
title = "Towards Interpretable Mental Health Analysis with Large Language Models",
author = "Yang, Kailai and
Ji, Shaoxiong and
Zhang, Tianlin and
Xie, Qianqian and
Kuang, Ziyan and
Ananiadou, Sophia",
editor = "Bouamor, Houda and
... | The latest large language models (LLMs) such as ChatGPT, exhibit strong capabilities in automated mental health analysis. However, existing relevant studies bear several limitations, including inadequate evaluations, lack of prompting strategies, and ignorance of exploring LLMs for explainability. To bridge these gaps,... | [
"Yang, Kailai",
"Ji, Shaoxiong",
"Zhang, Tianlin",
"Xie, Qianqian",
"Kuang, Ziyan",
"Ananiadou, Sophia"
] | Towards Interpretable Mental Health Analysis with Large Language Models | emnlp-main.370 | 2304.03347 | [
"https://github.com/stevekgyang/mentalllama"
] | https://huggingface.co/papers/2304.03347 | 0 | 0 | 0 | 6 | [] | [] | [] | 1 | Oral |
https://aclanthology.org/2023.emnlp-main.371.bib | https://aclanthology.org/2023.emnlp-main.371/ | @inproceedings{lee-etal-2023-learning,
title = "Learning to Rank Generation with Pairwise Partial Rewards",
author = "Lee, Youngwon and
Lee, Jinu and
Hwang, Seung-won",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference ... | This paper studies the use of reinforcement learning for conditional text generation, which overcomes the limitation of the prevalent supervised maximum likelihood estimation approach. However, it still suffers from challenges including the large action space and the delayed reward, as the reward can be computed only a... | [
"Lee, Youngwon",
"Lee, Jinu",
"Hwang, Seung-won"
] | Learning to Rank Generation with Pairwise Partial Rewards | emnlp-main.371 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.372.bib | https://aclanthology.org/2023.emnlp-main.372/ | @inproceedings{gao-etal-2023-greedycas,
title = "{G}reedy{CAS}: Unsupervised Scientific Abstract Segmentation with Normalized Mutual Information",
author = "Gao, Yingqiang and
Lam, Jessica and
Gu, Nianlong and
Hahnloser, Richard",
editor = "Bouamor, Houda and
Pino, Juan and
... | The abstracts of scientific papers typically contain both premises (e.g., background and observations) and conclusions. Although conclusion sentences are highlighted in structured abstracts, in non-structured abstracts the concluding information is not explicitly marked, which makes the automatic segmentation of conclu... | [
"Gao, Yingqiang",
"Lam, Jessica",
"Gu, Nianlong",
"Hahnloser, Richard"
] | GreedyCAS: Unsupervised Scientific Abstract Segmentation with Normalized Mutual Information | emnlp-main.372 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.373.bib | https://aclanthology.org/2023.emnlp-main.373/ | @inproceedings{tran-etal-2023-spoiler,
title = "Spoiler Detection as Semantic Text Matching",
author = "Tran, Ryan and
Xu, Canwen and
McAuley, Julian",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference on Empirical Meth... | Engaging with discussion of TV shows online often requires individuals to refrain from consuming show-related content for extended periods to avoid spoilers. While existing research on spoiler detection shows promising results in safeguarding viewers from general spoilers, it fails to address the issue of users abstain... | [
"Tran, Ryan",
"Xu, Canwen",
"McAuley, Julian"
] | Spoiler Detection as Semantic Text Matching | emnlp-main.373 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.374.bib | https://aclanthology.org/2023.emnlp-main.374/ | @inproceedings{padmakumar-etal-2023-multimodal,
title = "Multimodal Embodied Plan Prediction Augmented with Synthetic Embodied Dialogue",
author = "Padmakumar, Aishwarya and
Inan, Mert and
Gella, Spandana and
Lange, Patrick and
Hakkani-Tur, Dilek",
editor = "Bouamor, Houda and
... | Embodied task completion is a challenge where an agent in a simulated environment must predict environment actions to complete tasks based on natural language instructions and ego-centric visual observations. We propose a variant of this problem where the agent predicts actions at a higher level of abstraction called a... | [
"Padmakumar, Aishwarya",
"Inan, Mert",
"Gella, Sp",
"ana",
"Lange, Patrick",
"Hakkani-Tur, Dilek"
] | Multimodal Embodied Plan Prediction Augmented with Synthetic Embodied Dialogue | emnlp-main.374 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.375.bib | https://aclanthology.org/2023.emnlp-main.375/ | @inproceedings{shao-etal-2023-gem,
title = "{GEM}: Gestalt Enhanced Markup Language Model for Web Understanding via Render Tree",
author = "Shao, Zirui and
Gao, Feiyu and
Qi, Zhongda and
Xing, Hangdi and
Bu, Jiajun and
Yu, Zhi and
Zheng, Qi and
Liu, Xiaozhong",
... | Inexhaustible web content carries abundant perceptible information beyond text. Unfortunately, most prior efforts in pre-trained Language Models (LMs) ignore such cyber-richness, while few of them only employ plain HTMLs, and crucial information in the rendered web, such as visual, layout, and style, are excluded. Intu... | [
"Shao, Zirui",
"Gao, Feiyu",
"Qi, Zhongda",
"Xing, Hangdi",
"Bu, Jiajun",
"Yu, Zhi",
"Zheng, Qi",
"Liu, Xiaozhong"
] | GEM: Gestalt Enhanced Markup Language Model for Web Understanding via Render Tree | emnlp-main.375 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.376.bib | https://aclanthology.org/2023.emnlp-main.376/ | @inproceedings{pei-etal-2023-abstractive,
title = "Abstractive Open Information Extraction",
author = "Pei, Kevin and
Jindal, Ishan and
Chang, Kevin",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference on Empirical Metho... | Open Information Extraction (OpenIE) is a traditional NLP task that extracts structured information from unstructured text to be used for other downstream applications. Traditionally, OpenIE focuses on extracting the surface forms of relations as they appear in the raw text, which we term extractive OpenIE. One of the ... | [
"Pei, Kevin",
"Jindal, Ishan",
"Chang, Kevin"
] | Abstractive Open Information Extraction | emnlp-main.376 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.377.bib | https://aclanthology.org/2023.emnlp-main.377/ | @inproceedings{ghosh-etal-2023-cosyn,
title = "{C}o{S}yn: Detecting Implicit Hate Speech in Online Conversations Using a Context Synergized Hyperbolic Network",
author = "Ghosh, Sreyan and
Suri, Manan and
Chiniya, Purva and
Tyagi, Utkarsh and
Kumar, Sonal and
Manocha, Dinesh",... | The tremendous growth of social media users interacting in online conversations has led to significant growth in hate speech affecting people from various demographics. Most of the prior works focus on detecting explicit hate speech, which is overt and leverages hateful phrases, with very little work focusing on detect... | [
"Ghosh, Sreyan",
"Suri, Manan",
"Chiniya, Purva",
"Tyagi, Utkarsh",
"Kumar, Sonal",
"Manocha, Dinesh"
] | CoSyn: Detecting Implicit Hate Speech in Online Conversations Using a Context Synergized Hyperbolic Network | emnlp-main.377 | 2303.03387 | [
"https://github.com/sreyan88/cosyn"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.378.bib | https://aclanthology.org/2023.emnlp-main.378/ | @inproceedings{ye-etal-2023-cleme,
title = "{CLEME}: Debiasing Multi-reference Evaluation for Grammatical Error Correction",
author = "Ye, Jingheng and
Li, Yinghui and
Zhou, Qingyu and
Li, Yangning and
Ma, Shirong and
Zheng, Hai-Tao and
Shen, Ying",
editor = "Bouamo... | Evaluating the performance of Grammatical Error Correction (GEC) systems is a challenging task due to its subjectivity. Designing an evaluation metric that is as objective as possible is crucial to the development of GEC task. However, mainstream evaluation metrics, i.e., reference-based metrics, introduce bias into th... | [
"Ye, Jingheng",
"Li, Yinghui",
"Zhou, Qingyu",
"Li, Yangning",
"Ma, Shirong",
"Zheng, Hai-Tao",
"Shen, Ying"
] | CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction | emnlp-main.378 | 2305.10819 | [
"https://github.com/yejh123/cleme"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.379.bib | https://aclanthology.org/2023.emnlp-main.379/ | @inproceedings{kamp-etal-2023-dynamic,
title = "Dynamic Top-k Estimation Consolidates Disagreement between Feature Attribution Methods",
author = "Kamp, Jonathan and
Beinborn, Lisa and
Fokkens, Antske",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "P... | Feature attribution scores are used for explaining the prediction of a text classifier to users by highlighting a k number of tokens. In this work, we propose a way to determine the number of optimal k tokens that should be displayed from sequential properties of the attribution scores. Our approach is dynamic across s... | [
"Kamp, Jonathan",
"Beinborn, Lisa",
"Fokkens, Antske"
] | Dynamic Top-k Estimation Consolidates Disagreement between Feature Attribution Methods | emnlp-main.379 | 2310.05619 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.380.bib | https://aclanthology.org/2023.emnlp-main.380/ | @inproceedings{wu-etal-2023-sentistream,
title = "{S}enti{S}tream: A Co-Training Framework for Adaptive Online Sentiment Analysis in Evolving Data Streams",
author = "Wu, Yuhao and
Sharma, Karthick and
Seah, Chun and
Zhang, Shuhao",
editor = "Bouamor, Houda and
Pino, Juan and
... | Online sentiment analysis has emerged as a crucial component in numerous data-driven applications, including social media monitoring, customer feedback analysis, and online reputation management. Despite their importance, current methodologies falter in effectively managing the continuously evolving nature of data stre... | [
"Wu, Yuhao",
"Sharma, Karthick",
"Seah, Chun",
"Zhang, Shuhao"
] | SentiStream: A Co-Training Framework for Adaptive Online Sentiment Analysis in Evolving Data Streams | emnlp-main.380 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.381.bib | https://aclanthology.org/2023.emnlp-main.381/ | @inproceedings{zhang-etal-2023-hypernetwork,
title = "{H}yper{N}etwork-based Decoupling to Improve Model Generalization for Few-Shot Relation Extraction",
author = "Zhang, Liang and
Zhou, Chulun and
Meng, Fandong and
Su, Jinsong and
Chen, Yidong and
Zhou, Jie",
editor = "B... | Few-shot relation extraction (FSRE) aims to train a model that can deal with new relations using only a few labeled examples. Most existing studies employ Prototypical Networks for FSRE, which usually overfits the relation classes in the training set and cannot generalize well to unseen relations. By investigating the ... | [
"Zhang, Liang",
"Zhou, Chulun",
"Meng, F",
"ong",
"Su, Jinsong",
"Chen, Yidong",
"Zhou, Jie"
] | HyperNetwork-based Decoupling to Improve Model Generalization for Few-Shot Relation Extraction | emnlp-main.381 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.382.bib | https://aclanthology.org/2023.emnlp-main.382/ | @inproceedings{kumar-schockaert-2023-solving,
title = "Solving Hard Analogy Questions with Relation Embedding Chains",
author = "Kumar, Nitesh and
Schockaert, Steven",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference on Empir... | Modelling how concepts are related is a central topic in Lexical Semantics. A common strategy is to rely on knowledge graphs (KGs) such as ConceptNet, and to model the relation between two concepts as a set of paths. However, KGs are limited to a fixed set of relation types, and they are incomplete and often noisy. Ano... | [
"Kumar, Nitesh",
"Schockaert, Steven"
] | Solving Hard Analogy Questions with Relation Embedding Chains | emnlp-main.382 | 2310.12379 | [
"https://github.com/niteshroyal/solvinghardanalogyquestions"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.383.bib | https://aclanthology.org/2023.emnlp-main.383/ | @inproceedings{shen-etal-2023-modeling,
title = "Modeling Empathic Similarity in Personal Narratives",
author = "Shen, Jocelyn and
Sap, Maarten and
Colon-Hernandez, Pedro and
Park, Hae and
Breazeal, Cynthia",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika"... | The most meaningful connections between people are often fostered through expression of shared vulnerability and emotional experiences in personal narratives. We introduce a new task of identifying similarity in personal stories based on empathic resonance, i.e., the extent to which two people empathize with each other... | [
"Shen, Jocelyn",
"Sap, Maarten",
"Colon-Hern",
"ez, Pedro",
"Park, Hae",
"Breazeal, Cynthia"
] | Modeling Empathic Similarity in Personal Narratives | emnlp-main.383 | 2305.14246 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.384.bib | https://aclanthology.org/2023.emnlp-main.384/ | @inproceedings{singh-etal-2023-tree,
title = "Tree Prompting: Efficient Task Adaptation without Fine-Tuning",
author = "Singh, Chandan and
Morris, John and
Rush, Alexander and
Gao, Jianfeng and
Deng, Yuntian",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika... | Prompting language models (LMs) is the main interface for applying them to new tasks. However, for smaller LMs, prompting provides low accuracy compared to gradient-based fine-tuning. Tree Prompting is an approach to prompting which builds a decision tree of prompts, linking multiple prompt-LM calls together to solve a... | [
"Singh, Ch",
"an",
"Morris, John",
"Rush, Alex",
"er",
"Gao, Jianfeng",
"Deng, Yuntian"
] | Tree Prompting: Efficient Task Adaptation without Fine-Tuning | emnlp-main.384 | 2310.14034 | [
"https://github.com/csinva/tree-prompt"
] | https://huggingface.co/papers/2310.14034 | 2 | 2 | 0 | 5 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.385.bib | https://aclanthology.org/2023.emnlp-main.385/ | @inproceedings{xu-etal-2023-baize,
title = "Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data",
author = "Xu, Canwen and
Guo, Daya and
Duan, Nan and
McAuley, Julian",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle ... | Chat models, such as ChatGPT, have shown impressive capabilities and have been rapidly adopted across numerous domains. However, these models are only accessible through a restricted API, creating barriers for new research and progress in the field. We propose a pipeline that can automatically generate a high-quality m... | [
"Xu, Canwen",
"Guo, Daya",
"Duan, Nan",
"McAuley, Julian"
] | Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data | emnlp-main.385 | 2304.01196 | [
"https://github.com/project-baize/baize"
] | https://huggingface.co/papers/2304.01196 | 1 | 0 | 0 | 4 | [
"project-baize/baize-v2-7b",
"project-baize/baize-v2-13b",
"TheBloke/Project-Baize-v2-13B-GPTQ",
"TheBloke/Project-Baize-v2-13B-GGML",
"TheBloke/Project-Baize-v2-7B-GPTQ",
"TheBloke/Project-Baize-v2-7B-GGML",
"TheBloke/Baize-v2-13B-SuperHOT-8K-GGML",
"TheBloke/Baize-v2-7B-SuperHOT-8K-GGML",
"TheBlok... | [
"bkai-foundation-models/vi-self-chat-sharegpt-format",
"andreabac3/Quora-Italian-Fauno-Baize",
"andreabac3/MedQuaAD-Italian-Fauno-Baize",
"andreabac3/StackOverflow-Italian-Fauno-Baize"
] | [
"open-llm-leaderboard/open_llm_leaderboard",
"project-baize/chat-with-baize",
"Intel/low_bit_open_llm_leaderboard",
"BAAI/open_cn_llm_leaderboard",
"gsaivinay/open_llm_leaderboard",
"HuggingFaceH4/Falcon-vs-LLaMA",
"meval/multilingual-chatbot-arena-leaderboard",
"GTBench/GTBench",
"llm-blender/LLM-B... | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.386.bib | https://aclanthology.org/2023.emnlp-main.386/ | @inproceedings{jiang-etal-2023-empathy,
title = "Empathy Intent Drives Empathy Detection",
author = "Jiang, Liting and
Wu, Di and
Mao, Bohui and
Li, Yanbing and
Slamu, Wushour",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings ... | Empathy plays an important role in the human dialogue. Detecting the empathetic direction expressed by the user is necessary for empathetic dialogue systems because it is highly relevant to understanding the user{'}s needs. Several studies have shown that empathy intent information improves the ability to response capa... | [
"Jiang, Liting",
"Wu, Di",
"Mao, Bohui",
"Li, Yanbing",
"Slamu, Wushour"
] | Empathy Intent Drives Empathy Detection | emnlp-main.386 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.387.bib | https://aclanthology.org/2023.emnlp-main.387/ | @inproceedings{shi-etal-2023-adaptive,
title = "Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot Filling",
author = "Shi, Yuanjun and
Wu, Linzhi and
Shao, Minglai",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2... | Recently slot filling has witnessed great development thanks to deep learning and the availability of large-scale annotated data. However, it poses a critical challenge to handle a novel domain whose samples are never seen during training. The recognition performance might be greatly degraded due to severe domain shift... | [
"Shi, Yuanjun",
"Wu, Linzhi",
"Shao, Minglai"
] | Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot Filling | emnlp-main.387 | 2310.15294 | [
"https://github.com/switchsyj/adae2ml-xsf"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.388.bib | https://aclanthology.org/2023.emnlp-main.388/ | @inproceedings{imperial-kochmar-2023-basahacorpus,
title = "{B}asaha{C}orpus: An Expanded Linguistic Resource for Readability Assessment in {C}entral {P}hilippine Languages",
author = "Imperial, Joseph Marvin and
Kochmar, Ekaterina",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kal... | Current research on automatic readability assessment (ARA) has focused on improving the performance of models in high-resource languages such as English. In this work, we introduce and release BasahaCorpus as part of an initiative aimed at expanding available corpora and baseline models for readability assessment in lo... | [
"Imperial, Joseph Marvin",
"Kochmar, Ekaterina"
] | BasahaCorpus: An Expanded Linguistic Resource for Readability Assessment in Central Philippine Languages | emnlp-main.388 | 2310.11584 | [
"https://github.com/imperialite/basahacorpus-hierarchicalcrosslingualara"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.389.bib | https://aclanthology.org/2023.emnlp-main.389/ | @inproceedings{ghosal-etal-2023-retag,
title = "{R}e{TAG}: Reasoning Aware Table to Analytic Text Generation",
author = "Ghosal, Deepanway and
Nema, Preksha and
Raghuveer, Aravindan",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2... | The task of table summarization involves generating text that both succinctly and accurately represents the table or a specific set of highlighted cells within a table. While significant progress has been made in table to text generation techniques, models still mostly generate descriptive summaries, which reiterates t... | [
"Ghosal, Deepanway",
"Nema, Preksha",
"Raghuveer, Aravindan"
] | ReTAG: Reasoning Aware Table to Analytic Text Generation | emnlp-main.389 | 2305.11826 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.390.bib | https://aclanthology.org/2023.emnlp-main.390/ | @inproceedings{chen-etal-2023-beyond,
title = "Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators",
author = "Chen, Liang and
Deng, Yang and
Bian, Yatao and
Qin, Zeyu and
Wu, Bingzhe and
Chua, Tat-Seng and
Wong, Kam-Fai",
... | Large language models (LLMs) outperform information retrieval techniques for downstream knowledge-intensive tasks when being prompted to generate world knowledge. However, community concerns abound regarding the factuality and potential implications of using this uncensored knowledge. In light of this, we introduce CON... | [
"Chen, Liang",
"Deng, Yang",
"Bian, Yatao",
"Qin, Zeyu",
"Wu, Bingzhe",
"Chua, Tat-Seng",
"Wong, Kam-Fai"
] | Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators | emnlp-main.390 | 2310.07289 | [
"https://github.com/chanliang/conner"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.391.bib | https://aclanthology.org/2023.emnlp-main.391/ | @inproceedings{li-etal-2023-compressing,
title = "Compressing Context to Enhance Inference Efficiency of Large Language Models",
author = "Li, Yucheng and
Dong, Bo and
Guerin, Frank and
Lin, Chenghua",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitl... | Large language models (LLMs) achieved remarkable performance across various tasks. However, they face challenges in managing long documents and extended conversations, due to significantly increased computational requirements, both in memory and inference time, and potential context truncation when the input exceeds th... | [
"Li, Yucheng",
"Dong, Bo",
"Guerin, Frank",
"Lin, Chenghua"
] | Compressing Context to Enhance Inference Efficiency of Large Language Models | emnlp-main.391 | 2310.06201 | [
"https://github.com/liyucheng09/selective_context"
] | https://huggingface.co/papers/2310.06201 | 0 | 0 | 0 | 4 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.392.bib | https://aclanthology.org/2023.emnlp-main.392/ | @inproceedings{li-qiu-2023-mot,
title = "{M}o{T}: Memory-of-Thought Enables {C}hat{GPT} to Self-Improve",
author = "Li, Xiaonan and
Qiu, Xipeng",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natura... | Large Language Models (LLMs) have shown impressive abilities on various tasks. However, fundamentally improving them depends on high-quality datasets or computationally expensive fine-tuning. On the contrary, humans can easily improve themselves by self-thinking and memory, without external resources. In this paper, we... | [
"Li, Xiaonan",
"Qiu, Xipeng"
] | MoT: Memory-of-Thought Enables ChatGPT to Self-Improve | emnlp-main.392 | 2305.05181 | [
"https://github.com/leesureman/mot"
] | https://huggingface.co/papers/2305.05181 | 0 | 0 | 0 | 2 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.393.bib | https://aclanthology.org/2023.emnlp-main.393/ | @inproceedings{gomez-rodriguez-etal-2023-4,
title = "4 and 7-bit Labeling for Projective and Non-Projective Dependency Trees",
author = "G{\'o}mez-Rodr{\'\i}guez, Carlos and
Roca, Diego and
Vilares, David",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle ... | We introduce an encoding for parsing as sequence labeling that can represent any projective dependency tree as a sequence of 4-bit labels, one per word. The bits in each word{'}s label represent (1) whether it is a right or left dependent, (2) whether it is the outermost (left/right) dependent of its parent, (3) whethe... | [
"G{\\'o}mez-Rodr{\\'\\i}guez, Carlos",
"Roca, Diego",
"Vilares, David"
] | 4 and 7-bit Labeling for Projective and Non-Projective Dependency Trees | emnlp-main.393 | 2310.14319 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.394.bib | https://aclanthology.org/2023.emnlp-main.394/ | @inproceedings{yang-ettinger-2023-follow,
title = "Can You Follow Me? Testing Situational Understanding for {C}hat{GPT}",
author = "Yang, Chenghao and
Ettinger, Allyson",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference on Em... | Understanding sentence meanings and updating information states appropriately across time{---}what we call {``}situational understanding{''} (SU){---}is a critical ability for human-like AI agents. SU is essential in particular for chat models, such as ChatGPT, to enable consistent, coherent, and effective dialogue bet... | [
"Yang, Chenghao",
"Ettinger, Allyson"
] | Can You Follow Me? Testing Situational Understanding for ChatGPT | emnlp-main.394 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.395.bib | https://aclanthology.org/2023.emnlp-main.395/ | @inproceedings{pelrine-etal-2023-towards,
title = "Towards Reliable Misinformation Mitigation: Generalization, Uncertainty, and {GPT}-4",
author = "Pelrine, Kellin and
Imouza, Anne and
Thibault, Camille and
Reksoprodjo, Meilina and
Gupta, Caleb and
Christoph, Joel and
G... | Misinformation poses a critical societal challenge, and current approaches have yet to produce an effective solution. We propose focusing on generalization, uncertainty, and how to leverage recent large language models, in order to create more practical tools to evaluate information veracity in contexts where perfect c... | [
"Pelrine, Kellin",
"Imouza, Anne",
"Thibault, Camille",
"Reksoprodjo, Meilina",
"Gupta, Caleb",
"Christoph, Joel",
"Godbout, Jean-Fran{\\c{c}}ois",
"Rabbany, Reihaneh"
] | Towards Reliable Misinformation Mitigation: Generalization, Uncertainty, and GPT-4 | emnlp-main.395 | 2305.14928 | [
"https://github.com/complexdata-mila/mitigatemisinfo"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.396.bib | https://aclanthology.org/2023.emnlp-main.396/ | @inproceedings{alhafni-etal-2023-advancements,
title = "Advancements in {A}rabic Grammatical Error Detection and Correction: An Empirical Investigation",
author = "Alhafni, Bashar and
Inoue, Go and
Khairallah, Christian and
Habash, Nizar",
editor = "Bouamor, Houda and
Pino, Juan ... | Grammatical error correction (GEC) is a well-explored problem in English with many existing models and datasets. However, research on GEC in morphologically rich languages has been limited due to challenges such as data scarcity and language complexity. In this paper, we present the first results on Arabic GEC using tw... | [
"Alhafni, Bashar",
"Inoue, Go",
"Khairallah, Christian",
"Habash, Nizar"
] | Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigation | emnlp-main.396 | 2305.14734 | [
"https://github.com/camel-lab/arabic-gec"
] | https://huggingface.co/papers/2305.14734 | 1 | 1 | 0 | 4 | [
"CAMeL-Lab/arabart-qalb14-gec-ged-13",
"CAMeL-Lab/camelbert-msa-zaebuc-ged-13",
"CAMeL-Lab/arabart-qalb15-gec-ged-13",
"CAMeL-Lab/camelbert-msa-qalb15-ged-13",
"CAMeL-Lab/camelbert-msa-qalb14-ged-13",
"CAMeL-Lab/arabart-zaebuc-gec-ged-13"
] | [] | [] | 1 | Oral |
https://aclanthology.org/2023.emnlp-main.397.bib | https://aclanthology.org/2023.emnlp-main.397/ | @inproceedings{li-etal-2023-halueval,
title = "{H}alu{E}val: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models",
author = "Li, Junyi and
Cheng, Xiaoxue and
Zhao, Xin and
Nie, Jian-Yun and
Wen, Ji-Rong",
editor = "Bouamor, Houda and
Pino, Juan and
... | Large language models (LLMs), such as ChatGPT, are prone to generate hallucinations, i.e., content that conflicts with the source or cannot be verified by the factual knowledge. To understand what types of content and to which extent LLMs are apt to hallucinate, we introduce the Hallucination Evaluation for Large Langu... | [
"Li, Junyi",
"Cheng, Xiaoxue",
"Zhao, Xin",
"Nie, Jian-Yun",
"Wen, Ji-Rong"
] | HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models | emnlp-main.397 | 2305.11747 | [
"https://github.com/rucaibox/helma"
] | https://huggingface.co/papers/2305.11747 | 0 | 0 | 0 | 5 | [
"grounded-ai/phi3-hallucination-judge",
"grounded-ai/phi3-hallucination-judge-merge"
] | [
"achandlr/FactualConsistencyScoresTextSummarization"
] | [] | 1 | Oral |
https://aclanthology.org/2023.emnlp-main.398.bib | https://aclanthology.org/2023.emnlp-main.398/ | @inproceedings{gao-etal-2023-enabling,
title = "Enabling Large Language Models to Generate Text with Citations",
author = "Gao, Tianyu and
Yen, Howard and
Yu, Jiatong and
Chen, Danqi",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings ... | Large language models (LLMs) have emerged as a widely-used tool for information seeking, but their generated outputs are prone to hallucination. In this work, our aim is to allow LLMs to generate text with citations, improving their factual correctness and verifiability. Existing work mainly relies on commercial search... | [
"Gao, Tianyu",
"Yen, Howard",
"Yu, Jiatong",
"Chen, Danqi"
] | Enabling Large Language Models to Generate Text with Citations | emnlp-main.398 | 2305.14627 | [
"https://github.com/princeton-nlp/alce"
] | https://huggingface.co/papers/2305.14627 | 0 | 0 | 0 | 4 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.399.bib | https://aclanthology.org/2023.emnlp-main.399/ | @inproceedings{artetxe-etal-2023-revisiting,
title = "Revisiting Machine Translation for Cross-lingual Classification",
author = "Artetxe, Mikel and
Goswami, Vedanuj and
Bhosale, Shruti and
Fan, Angela and
Zettlemoyer, Luke",
editor = "Bouamor, Houda and
Pino, Juan and
... | Machine Translation (MT) has been widely used for cross-lingual classification, either by translating the test set into English and running inference with a monolingual model (translate-test), or translating the training set into the target languages and finetuning a multilingual model (translate-train). However, most ... | [
"Artetxe, Mikel",
"Goswami, Vedanuj",
"Bhosale, Shruti",
"Fan, Angela",
"Zettlemoyer, Luke"
] | Revisiting Machine Translation for Cross-lingual Classification | emnlp-main.399 | 2305.14240 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.400.bib | https://aclanthology.org/2023.emnlp-main.400/ | @inproceedings{deng-etal-2023-pre,
title = "Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding",
author = {Deng, Shuwen and
Prasse, Paul and
Reich, David and
Scheffer, Tobias and
J{\"a}ger, Lena},
editor = "Bouamor, Houda and
... | Human gaze data offer cognitive information that reflects natural language comprehension. Indeed, augmenting language models with human scanpaths has proven beneficial for a range of NLP tasks, including language understanding. However, the applicability of this approach is hampered because the abundance of text corpor... | [
"Deng, Shuwen",
"Prasse, Paul",
"Reich, David",
"Scheffer, Tobias",
"J{\\\"a}ger, Lena"
] | Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding | emnlp-main.400 | 2310.14676 | [
"https://github.com/aeye-lab/emnlp-syntheticscanpaths-nlu-pretrainedlm"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral |
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