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https://aclanthology.org/2023.emnlp-main.701.bib | https://aclanthology.org/2023.emnlp-main.701/ | @inproceedings{yerukola-etal-2023-dont,
title = "Don{'}t Take This Out of Context!: On the Need for Contextual Models and Evaluations for Stylistic Rewriting",
author = "Yerukola, Akhila and
Zhou, Xuhui and
Clark, Elizabeth and
Sap, Maarten",
editor = "Bouamor, Houda and
Pino, Ju... | Most existing stylistic text rewriting methods and evaluation metrics operate on a sentence level, but ignoring the broader context of the text can lead to preferring generic, ambiguous, and incoherent rewrites. In this paper, we investigate integrating the preceding textual context into both the $\textit{rewriting}$ a... | [
"Yerukola, Akhila",
"Zhou, Xuhui",
"Clark, Elizabeth",
"Sap, Maarten"
] | Don't Take This Out of Context!: On the Need for Contextual Models and Evaluations for Stylistic Rewriting | emnlp-main.701 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.702.bib | https://aclanthology.org/2023.emnlp-main.702/ | @inproceedings{rosset-etal-2023-axiomatic,
title = "Axiomatic Preference Modeling for Longform Question Answering",
author = "Rosset, Corby and
Zheng, Guoqing and
Dibia, Victor and
Awadallah, Ahmed and
Bennett, Paul",
editor = "Bouamor, Houda and
Pino, Juan and
Bali... | The remarkable abilities of large language models (LLMs) like ChatGPT and GPT-4 partially stem from the post-training processes involving human preferences encoded within a reward model as part of a Reinforcement Learning from Human Feedback (RLHF) regimen. These reward models (RMs) often lack direct knowledge of why, ... | [
"Rosset, Corby",
"Zheng, Guoqing",
"Dibia, Victor",
"Awadallah, Ahmed",
"Bennett, Paul"
] | Axiomatic Preference Modeling for Longform Question Answering | emnlp-main.702 | 2312.02206 | [
""
] | https://huggingface.co/papers/2312.02206 | 4 | 7 | 1 | 5 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.703.bib | https://aclanthology.org/2023.emnlp-main.703/ | @inproceedings{russo-etal-2023-countering,
title = "Countering Misinformation via Emotional Response Generation",
author = "Russo, Daniel and
Kaszefski-Yaschuk, Shane and
Staiano, Jacopo and
Guerini, Marco",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
bo... | The proliferation of misinformation on social media platforms (SMPs) poses a significant danger to public health, social cohesion and ultimately democracy. Previous research has shown how social correction can be an effective way to curb misinformation, by engaging directly in a constructive dialogue with users who spr... | [
"Russo, Daniel",
"Kaszefski-Yaschuk, Shane",
"Staiano, Jacopo",
"Guerini, Marco"
] | Countering Misinformation via Emotional Response Generation | emnlp-main.703 | 2311.10587 | [
"https://github.com/marcoguerini/vermouth"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.704.bib | https://aclanthology.org/2023.emnlp-main.704/ | @inproceedings{zhang-etal-2023-seq2seq,
title = "Seq2seq is All You Need for Coreference Resolution",
author = "Zhang, Wenzheng and
Wiseman, Sam and
Stratos, Karl",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference on E... | Existing works on coreference resolution suggest that task-specific models are necessary to achieve state-of-the-art performance. In this work, we present compelling evidence that such models are not necessary. We finetune a pretrained seq2seq transformer to map an input document to a tagged sequence encoding the coref... | [
"Zhang, Wenzheng",
"Wiseman, Sam",
"Stratos, Karl"
] | Seq2seq is All You Need for Coreference Resolution | emnlp-main.704 | 2310.13774 | [
"https://github.com/wenzhengzhang/seq2seqcoref"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.705.bib | https://aclanthology.org/2023.emnlp-main.705/ | @inproceedings{fucci-etal-2023-integrating,
title = "Integrating Language Models into Direct Speech Translation: An Inference-Time Solution to Control Gender Inflection",
author = "Fucci, Dennis and
Gaido, Marco and
Papi, Sara and
Cettolo, Mauro and
Negri, Matteo and
Bentivogl... | When translating words referring to the speaker, speech translation (ST) systems should not resort to default masculine generics nor rely on potentially misleading vocal traits. Rather, they should assign gender according to the speakers{'} preference. The existing solutions to do so, though effective, are hardly feasi... | [
"Fucci, Dennis",
"Gaido, Marco",
"Papi, Sara",
"Cettolo, Mauro",
"Negri, Matteo",
"Bentivogli, Luisa"
] | Integrating Language Models into Direct Speech Translation: An Inference-Time Solution to Control Gender Inflection | emnlp-main.705 | 2310.15752 | [
"https://github.com/hlt-mt/fbk-fairseq"
] | https://huggingface.co/papers/2310.15752 | 1 | 1 | 0 | 6 | [] | [] | [] | 1 | Oral |
https://aclanthology.org/2023.emnlp-main.706.bib | https://aclanthology.org/2023.emnlp-main.706/ | @inproceedings{jiayang-etal-2023-storyanalogy,
title = "{S}tory{A}nalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding",
author = "Jiayang, Cheng and
Qiu, Lin and
Chan, Tsz and
Fang, Tianqing and
Wang, Weiqi and
Chan, Chunkit an... | Analogy-making between narratives is crucial for human reasoning. In this paper, we evaluate the ability to identify and generate analogies by constructing a first-of-its-kind large-scale story-level analogy corpus, StoryAnalogy, which contains 24K story pairs from diverse domains with human annotations on two similari... | [
"Jiayang, Cheng",
"Qiu, Lin",
"Chan, Tsz",
"Fang, Tianqing",
"Wang, Weiqi",
"Chan, Chunkit",
"Ru, Dongyu",
"Guo, Qipeng",
"Zhang, Hongming",
"Song, Yangqiu",
"Zhang, Yue",
"Zhang, Zheng"
] | StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding | emnlp-main.706 | 2310.12874 | [
"https://github.com/loginaway/storyanalogy"
] | https://huggingface.co/papers/2310.12874 | 0 | 0 | 0 | 12 | [] | [
"JoeyCheng/story_analogy"
] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.707.bib | https://aclanthology.org/2023.emnlp-main.707/ | @inproceedings{chang-etal-2023-beyond,
title = "Beyond Detection: A Defend-and-Summarize Strategy for Robust and Interpretable Rumor Analysis on Social Media",
author = "Chang, Yi-Ting and
Song, Yun-Zhu and
Chen, Yi-Syuan and
Shuai, Hong-Han",
editor = "Bouamor, Houda and
Pino, J... | As the impact of social media gradually escalates, people are more likely to be exposed to indistinguishable fake news. Therefore, numerous studies have attempted to detect rumors on social media by analyzing the textual content and propagation paths. However, fewer works on rumor detection tasks consider the malicious... | [
"Chang, Yi-Ting",
"Song, Yun-Zhu",
"Chen, Yi-Syuan",
"Shuai, Hong-Han"
] | Beyond Detection: A Defend-and-Summarize Strategy for Robust and Interpretable Rumor Analysis on Social Media | emnlp-main.707 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.708.bib | https://aclanthology.org/2023.emnlp-main.708/ | @inproceedings{liu-etal-2023-crystal,
title = "Crystal: Introspective Reasoners Reinforced with Self-Feedback",
author = "Liu, Jiacheng and
Pasunuru, Ramakanth and
Hajishirzi, Hannaneh and
Choi, Yejin and
Celikyilmaz, Asli",
editor = "Bouamor, Houda and
Pino, Juan and
... | Extensive work has shown that the performance and interpretability of commonsense reasoning can be improved via knowledge-augmented reasoning methods, where the knowledge that underpins the reasoning process is explicitly verbalized and utilized. However, existing implementations, including {``}chain-of-thought{''} and... | [
"Liu, Jiacheng",
"Pasunuru, Ramakanth",
"Hajishirzi, Hannaneh",
"Choi, Yejin",
"Celikyilmaz, Asli"
] | Crystal: Introspective Reasoners Reinforced with Self-Feedback | emnlp-main.708 | 2310.04921 | [
"https://github.com/liujch1998/crystal"
] | https://huggingface.co/papers/2310.04921 | 0 | 1 | 0 | 5 | [
"liujch1998/crystal-11b"
] | [] | [
"liujch1998/crystal"
] | 1 | Oral |
https://aclanthology.org/2023.emnlp-main.709.bib | https://aclanthology.org/2023.emnlp-main.709/ | @inproceedings{zhu-etal-2023-diffs2ut,
title = "{D}iff{S}2{UT}: A Semantic Preserving Diffusion Model for Textless Direct Speech-to-Speech Translation",
author = "Zhu, Yongxin and
Gao, Zhujin and
Zhou, Xinyuan and
Zhongyi, Ye and
Xu, Linli",
editor = "Bouamor, Houda and
Pi... | While Diffusion Generative Models have achieved great success on image generation tasks, how to efficiently and effectively incorporate them into speech generation especially translation tasks remains a non-trivial problem. Specifically, due to the low information density of speech data, the transformed discrete speech... | [
"Zhu, Yongxin",
"Gao, Zhujin",
"Zhou, Xinyuan",
"Zhongyi, Ye",
"Xu, Linli"
] | DiffS2UT: A Semantic Preserving Diffusion Model for Textless Direct Speech-to-Speech Translation | emnlp-main.709 | 2310.17570 | [
""
] | https://huggingface.co/papers/2310.17570 | 1 | 0 | 0 | 5 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.710.bib | https://aclanthology.org/2023.emnlp-main.710/ | @inproceedings{sui-etal-2023-biofeg,
title = "{B}io{FEG}: Generate Latent Features for Biomedical Entity Linking",
author = "Sui, Xuhui and
Zhang, Ying and
Cai, Xiangrui and
Song, Kehui and
Zhou, Baohang and
Yuan, Xiaojie and
Zhang, Wensheng",
editor = "Bouamor, Hou... | Biomedical entity linking is an essential task in biomedical text processing, which aims to map entity mentions in biomedical text, such as clinical notes, to standard terms in a given knowledge base. However, this task is challenging due to the rarity of many biomedical entities in real-world scenarios, which often le... | [
"Sui, Xuhui",
"Zhang, Ying",
"Cai, Xiangrui",
"Song, Kehui",
"Zhou, Baohang",
"Yuan, Xiaojie",
"Zhang, Wensheng"
] | BioFEG: Generate Latent Features for Biomedical Entity Linking | emnlp-main.710 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.711.bib | https://aclanthology.org/2023.emnlp-main.711/ | @inproceedings{xiong-etal-2023-trigo,
title = "{TRIGO}: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models",
author = "Xiong, Jing and
Shen, Jianhao and
Yuan, Ye and
Wang, Haiming and
Yin, Yichun and
Liu, Zhengying and
Li, Lin and
Guo... | Automated theorem proving (ATP) has become an appealing domain for exploring the reasoning ability of the recent successful generative language models. However, current ATP benchmarks are mainly focus on symbolic inference, but rarely involve the understanding of complex number combination reasoning. In this work, we p... | [
"Xiong, Jing",
"Shen, Jianhao",
"Yuan, Ye",
"Wang, Haiming",
"Yin, Yichun",
"Liu, Zhengying",
"Li, Lin",
"Guo, Zhijiang",
"Cao, Qingxing",
"Huang, Yinya",
"Zheng, Chuanyang",
"Liang, Xiaodan",
"Zhang, Ming",
"Liu, Qun"
] | TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models | emnlp-main.711 | 2310.10180 | [
"https://github.com/menik1126/TRIGO"
] | https://huggingface.co/papers/2310.10180 | 2 | 1 | 0 | 14 | [] | [] | [] | 1 | Oral |
https://aclanthology.org/2023.emnlp-main.712.bib | https://aclanthology.org/2023.emnlp-main.712/ | @inproceedings{mehandru-etal-2023-physician,
title = "Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors",
author = "Mehandru, Nikita and
Agrawal, Sweta and
Xiao, Yimin and
Gao, Ge and
Khoong... | A major challenge in the practical use of Machine Translation (MT) is that users lack information on translation quality to make informed decisions about how to rely on outputs. Progress in quality estimation research provides techniques to automatically assess MT quality, but these techniques have primarily been evalu... | [
"Meh",
"ru, Nikita",
"Agrawal, Sweta",
"Xiao, Yimin",
"Gao, Ge",
"Khoong, Elaine",
"Carpuat, Marine",
"Salehi, Niloufar"
] | Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors | emnlp-main.712 | 2310.16924 | [
"https://github.com/n-mehandru/physicianqe"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.713.bib | https://aclanthology.org/2023.emnlp-main.713/ | @inproceedings{weerasooriya-etal-2023-vicarious,
title = "Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive",
author = "Weerasooriya, Tharindu and
Dutta, Sujan and
Ranasinghe, Tharindu and
Zampieri, Marcos and
... | Offensive speech detection is a key component of content moderation. However, what is offensive can be highly subjective. This paper investigates how machine and human moderators disagree on what is offensive when it comes to real-world social web political discourse. We show that (1) there is extensive disagreement am... | [
"Weerasooriya, Tharindu",
"Dutta, Sujan",
"Ranasinghe, Tharindu",
"Zampieri, Marcos",
"Homan, Christopher",
"KhudaBukhsh, Ashiqur"
] | Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive | emnlp-main.713 | 2301.12534 | [
"https://github.com/homan-lab/noise-audit-dataset"
] | https://huggingface.co/papers/2301.12534 | 0 | 0 | 0 | 6 | [] | [
"Lab-PL/voiced"
] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.714.bib | https://aclanthology.org/2023.emnlp-main.714/ | @inproceedings{ribeiro-etal-2023-generating,
title = "Generating Summaries with Controllable Readability Levels",
author = "Ribeiro, Leonardo F. R. and
Bansal, Mohit and
Dreyer, Markus",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of th... | Readability refers to how easily a reader can understand a written text. Several factors affect the readability level, such as the complexity of the text, its subject matter, and the reader{'}s background knowledge. Generating summaries based on different readability levels is critical for enabling knowledge consumptio... | [
"Ribeiro, Leonardo F. R.",
"Bansal, Mohit",
"Dreyer, Markus"
] | Generating Summaries with Controllable Readability Levels | emnlp-main.714 | 2310.10623 | [
"https://github.com/amazon-science/controllable-readability-summarization"
] | https://huggingface.co/papers/2310.10623 | 0 | 0 | 0 | 3 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.715.bib | https://aclanthology.org/2023.emnlp-main.715/ | @inproceedings{lin-etal-2023-maggretriever,
title = "m{A}ggretriever: A Simple yet Effective Approach to Zero-Shot Multilingual Dense Retrieval",
author = "Lin, Sheng-Chieh and
Ahmad, Amin and
Lin, Jimmy",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle =... | Multilingual information retrieval (MLIR) is a crucial yet challenging task due to the need for human annotations in multiple languages, making training data creation labor-intensive. In this paper, we introduce mAggretriever, which effectively leverages semantic and lexical features from pre-trained multilingual trans... | [
"Lin, Sheng-Chieh",
"Ahmad, Amin",
"Lin, Jimmy"
] | mAggretriever: A Simple yet Effective Approach to Zero-Shot Multilingual Dense Retrieval | emnlp-main.715 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.716.bib | https://aclanthology.org/2023.emnlp-main.716/ | @inproceedings{singh-etal-2023-codefusion,
title = "{C}ode{F}usion: A Pre-trained Diffusion Model for Code Generation",
author = "Singh, Mukul and
Cambronero, Jos{\'e} and
Gulwani, Sumit and
Le, Vu and
Negreanu, Carina and
Verbruggen, Gust",
editor = "Bouamor, Houda and
... | Imagine a developer who can only change their last line of code{---}how often would they have to start writing a function from scratch before it is correct? Auto-regressive models for code generation from natural language have a similar limitation: they do not easily allow reconsidering earlier tokens generated. We int... | [
"Singh, Mukul",
"Cambronero, Jos{\\'e}",
"Gulwani, Sumit",
"Le, Vu",
"Negreanu, Carina",
"Verbruggen, Gust"
] | CodeFusion: A Pre-trained Diffusion Model for Code Generation | emnlp-main.716 | 2310.17680 | [
""
] | https://huggingface.co/papers/2310.17680 | 1 | 68 | 10 | 6 | [] | [] | [] | 1 | Oral |
https://aclanthology.org/2023.emnlp-main.717.bib | https://aclanthology.org/2023.emnlp-main.717/ | @inproceedings{aksu-etal-2023-cesar,
title = "{CESAR}: Automatic Induction of Compositional Instructions for Multi-turn Dialogs",
author = "Aksu, Taha and
Hazarika, Devamanyu and
Mehri, Shikib and
Kim, Seokhwan and
Hakkani-Tur, Dilek and
Liu, Yang and
Namazifar, Mahdi",... | Instruction-based multitasking has played a critical role in the success of large language models (LLMs) in multi-turn dialog applications. While publicly available LLMs have shown promising performance, when exposed to complex instructions with multiple constraints, they lag against state-of-the-art models like ChatGP... | [
"Aksu, Taha",
"Hazarika, Devamanyu",
"Mehri, Shikib",
"Kim, Seokhwan",
"Hakkani-Tur, Dilek",
"Liu, Yang",
"Namazifar, Mahdi"
] | CESAR: Automatic Induction of Compositional Instructions for Multi-turn Dialogs | emnlp-main.717 | 2311.17376 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.718.bib | https://aclanthology.org/2023.emnlp-main.718/ | @inproceedings{xu-etal-2023-vechr,
title = "{VECHR}: A Dataset for Explainable and Robust Classification of Vulnerability Type in the {E}uropean Court of Human Rights",
author = "Xu, Shanshan and
Staufer, Leon and
T.y.s.s, Santosh and
Ichim, Oana and
Heri, Corina and
Grabmair,... | Recognizing vulnerability is crucial for understanding and implementing targeted support to empower individuals in need. This is especially important at the European Court of Human Rights (ECtHR), where the court adapts Convention standards to meet actual individual needs and thus to ensure effective human rights prote... | [
"Xu, Shanshan",
"Staufer, Leon",
"T.y.s.s, Santosh",
"Ichim, Oana",
"Heri, Corina",
"Grabmair, Matthias"
] | VECHR: A Dataset for Explainable and Robust Classification of Vulnerability Type in the European Court of Human Rights | emnlp-main.718 | 2310.11368 | [
"https://github.com/tumlegaltech/vechr_emnlp23"
] | https://huggingface.co/papers/2310.11368 | 0 | 0 | 0 | 6 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.719.bib | https://aclanthology.org/2023.emnlp-main.719/ | @inproceedings{wu-etal-2023-acquired,
title = "{ACQUIRED}: A Dataset for Answering Counterfactual Questions In Real-Life Videos",
author = "Wu, Te-Lin and
Dou, Zi-Yi and
Hu, Qingyuan and
Hou, Yu and
Chandra, Nischal and
Freedman, Marjorie and
Weischedel, Ralph and
... | Multimodal counterfactual reasoning is a vital yet challenging ability for AI systems. It involves predicting the outcomes of hypothetical circumstances based on vision and language inputs, which enables AI models to learn from failures and explore hypothetical scenarios. Despite its importance, there are only a few da... | [
"Wu, Te-Lin",
"Dou, Zi-Yi",
"Hu, Qingyuan",
"Hou, Yu",
"Ch",
"ra, Nischal",
"Freedman, Marjorie",
"Weischedel, Ralph",
"Peng, Nanyun"
] | ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos | emnlp-main.719 | 2311.01620 | [
"https://github.com/pluslabnlp/acquired"
] | https://huggingface.co/papers/2311.01620 | 0 | 0 | 0 | 8 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.720.bib | https://aclanthology.org/2023.emnlp-main.720/ | @inproceedings{guo-etal-2023-parse,
title = "From Parse-Execute to Parse-Execute-Refine: Improving Semantic Parser for Complex Question Answering over Knowledge Base",
author = "Guo, Wangzhen and
Luo, Linyin and
Lai, Hanjiang and
Yin, Jian",
editor = "Bouamor, Houda and
Pino, Jua... | Parsing questions into executable logical forms has showed impressive results for knowledge-base question answering (KBQA). However, complex KBQA is a more challenging task that requires to perform complex multi-step reasoning. Recently, a new semantic parser called KoPL has been proposed to explicitly model the reason... | [
"Guo, Wangzhen",
"Luo, Linyin",
"Lai, Hanjiang",
"Yin, Jian"
] | From Parse-Execute to Parse-Execute-Refine: Improving Semantic Parser for Complex Question Answering over Knowledge Base | emnlp-main.720 | 2305.03356 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.721.bib | https://aclanthology.org/2023.emnlp-main.721/ | @inproceedings{deng-raffel-2023-reward,
title = "Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model",
author = "Deng, Haikang and
Raffel, Colin",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of th... | While large language models have proven effective in a huge range of downstream applications, they often generate text that is problematic or lacks a desired attribute. In this paper, we introduce Reward-Augmented Decoding (RAD), a text generation procedure that uses a small unidirectional reward model to encourage a l... | [
"Deng, Haikang",
"Raffel, Colin"
] | Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model | emnlp-main.721 | 2310.09520 | [
"https://github.com/haikangdeng/RAD"
] | https://huggingface.co/papers/2310.09520 | 2 | 10 | 1 | 2 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.722.bib | https://aclanthology.org/2023.emnlp-main.722/ | @inproceedings{borchert-etal-2023-core,
title = "{CORE}: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation.",
author = "Borchert, Philipp and
De Weerdt, Jochen and
Coussement, Kristof and
De Caigny, Arno and
Moens, Marie-Francine",
editor = "Bouamor,... | We introduce CORE, a dataset for few-shot relation classification (RC) focused on company relations and business entities. CORE includes 4,708 instances of 12 relation types with corresponding textual evidence extracted from company Wikipedia pages. Company names and business entities pose a challenge for few-shot RC m... | [
"Borchert, Philipp",
"De Weerdt, Jochen",
"Coussement, Kristof",
"De Caigny, Arno",
"Moens, Marie-Francine"
] | CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation. | emnlp-main.722 | 2310.12024 | [
"https://github.com/pnborchert/core"
] | https://huggingface.co/papers/2310.12024 | 0 | 2 | 0 | 5 | [] | [
"pborchert/CORE"
] | [] | 1 | Oral |
https://aclanthology.org/2023.emnlp-main.723.bib | https://aclanthology.org/2023.emnlp-main.723/ | @inproceedings{liu-wan-2023-models,
title = "Models See Hallucinations: Evaluating the Factuality in Video Captioning",
author = "Liu, Hui and
Wan, Xiaojun",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference on Empirical Metho... | Video captioning aims to describe events in a video with natural language. In recent years, many works have focused on improving captioning models{'} performance. However, like other text generation tasks, it risks introducing factual errors not supported by the input video. Factual errors can seriously affect the qual... | [
"Liu, Hui",
"Wan, Xiaojun"
] | Models See Hallucinations: Evaluating the Factuality in Video Captioning | emnlp-main.723 | 2303.02961 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.724.bib | https://aclanthology.org/2023.emnlp-main.724/ | @inproceedings{kubis-etal-2023-back,
title = "Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors",
author = "Kubis, Marek and
Sk{\'o}rzewski, Pawe{\l} and
Sowa{\'n}ski, Marcin and
Zietkiewicz, Tomasz",
editor = ... | In a spoken dialogue system, an NLU model is preceded by a speech recognition system that can deteriorate the performance of natural language understanding. This paper proposes a method for investigating the impact of speech recognition errors on the performance of natural language understanding models. The proposed me... | [
"Kubis, Marek",
"Sk{\\'o}rzewski, Pawe{\\l}",
"Sowa{\\'n}ski, Marcin",
"Zietkiewicz, Tomasz"
] | Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors | emnlp-main.724 | 2310.16609 | [
"https://github.com/marekkubis/bteval"
] | https://huggingface.co/papers/2310.16609 | 4 | 1 | 0 | 4 | [
"cartesinus/xlm-r-base-amazon-massive-intent",
"cartesinus/xlm-r-base-amazon-massive-slot",
"cartesinus/xlm-r-base-amazon-massive-domain"
] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.725.bib | https://aclanthology.org/2023.emnlp-main.725/ | @inproceedings{chatterjee-etal-2023-cabbage,
title = "Cabbage Sweeter than Cake? Analysing the Potential of Large Language Models for Learning Conceptual Spaces",
author = "Chatterjee, Usashi and
Gajbhiye, Amit and
Schockaert, Steven",
editor = "Bouamor, Houda and
Pino, Juan and
... | The theory of Conceptual Spaces is an influential cognitive-linguistic framework for representing the meaning of concepts. Conceptual spaces are constructed from a set of quality dimensions, which essentially correspond to primitive perceptual features (e.g. hue or size). These quality dimensions are usually learned fr... | [
"Chatterjee, Usashi",
"Gajbhiye, Amit",
"Schockaert, Steven"
] | Cabbage Sweeter than Cake? Analysing the Potential of Large Language Models for Learning Conceptual Spaces | emnlp-main.725 | 2310.05481 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.726.bib | https://aclanthology.org/2023.emnlp-main.726/ | @inproceedings{li-etal-2023-language-models,
title = "Can Language Models Understand Physical Concepts?",
author = "Li, Lei and
Xu, Jingjing and
Dong, Qingxiu and
Zheng, Ce and
Sun, Xu and
Kong, Lingpeng and
Liu, Qi",
editor = "Bouamor, Houda and
Pino, Juan ... | Language models (LMs) gradually become general-purpose interfaces in the interactive and embodied world, where the understanding of physical concepts is an essential prerequisite. However, it is unclear whether LMs can understand physical concepts in the human world. To investigate this, we design a benchmark VEC that ... | [
"Li, Lei",
"Xu, Jingjing",
"Dong, Qingxiu",
"Zheng, Ce",
"Sun, Xu",
"Kong, Lingpeng",
"Liu, Qi"
] | Can Language Models Understand Physical Concepts? | emnlp-main.726 | null | [
"https://github.com/tobiaslee/vec"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.727.bib | https://aclanthology.org/2023.emnlp-main.727/ | @inproceedings{zhu-tan-2023-spt,
title = "{SPT}: Learning to Selectively Insert Prompts for Better Prompt Tuning",
author = "Zhu, Wei and
Tan, Ming",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Na... | Prompt tuning prepends a soft prompt to the input embeddings or hidden states and only optimizes the prompt to adapt pretrained models (PTMs) to downstream tasks. The previous work manually selects prompt layers which are far from optimal and failed to exploit the potential of prompt tuning. In this work, we propose a ... | [
"Zhu, Wei",
"Tan, Ming"
] | SPT: Learning to Selectively Insert Prompts for Better Prompt Tuning | emnlp-main.727 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.728.bib | https://aclanthology.org/2023.emnlp-main.728/ | @inproceedings{yang-etal-2023-upon,
title = "Once Upon a ${\it Time}$ in ${\it Graph}$: Relative-Time Pretraining for Complex Temporal Reasoning",
author = "Yang, Sen and
Li, Xin and
Bing, Lidong and
Lam, Wai",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
... | Our physical world is constantly evolving over time, rendering challenges for pre-trained language models to understand and reason over the temporal contexts of texts. Existing work focuses on strengthening the direct association between a piece of text and its time-stamp. However, the knowledge-time association is usu... | [
"Yang, Sen",
"Li, Xin",
"Bing, Lidong",
"Lam, Wai"
] | Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning | emnlp-main.728 | 2310.14709 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.729.bib | https://aclanthology.org/2023.emnlp-main.729/ | @inproceedings{balepur-etal-2023-expository,
title = "Expository Text Generation: Imitate, Retrieve, Paraphrase",
author = "Balepur, Nishant and
Huang, Jie and
Chang, Kevin",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Confe... | Expository documents are vital resources for conveying complex information to readers. Despite their usefulness, writing expository text by hand is a challenging process that requires careful content planning, obtaining facts from multiple sources, and the ability to clearly synthesize these facts. To ease these burden... | [
"Balepur, Nishant",
"Huang, Jie",
"Chang, Kevin"
] | Expository Text Generation: Imitate, Retrieve, Paraphrase | emnlp-main.729 | 2305.03276 | [
"https://github.com/nbalepur/expository-text-generation"
] | https://huggingface.co/papers/2305.03276 | 0 | 0 | 0 | 3 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.730.bib | https://aclanthology.org/2023.emnlp-main.730/ | @inproceedings{laouar-etal-2023-large,
title = "Large-scale similarity search with Optimal Transport",
author = "Laouar, Cl{\'e}a and
Takezawa, Yuki and
Yamada, Makoto",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference... | Wasserstein distance is a powerful tool for comparing probability distributions and is widely used for document classification and retrieval tasks in NLP. In particular, it is known as the word mover{'}s distance (WMD) in the NLP community. WMD exhibits excellent performance for various NLP tasks; however, one of its l... | [
"Laouar, Cl{\\'e}a",
"Takezawa, Yuki",
"Yamada, Makoto"
] | Large-scale similarity search with Optimal Transport | emnlp-main.730 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.731.bib | https://aclanthology.org/2023.emnlp-main.731/ | @inproceedings{singh-etal-2023-enhancing,
title = "Enhancing Textbooks with Visuals from the Web for Improved Learning",
author = "Singh, Janvijay and
Zouhar, Vil{\'e}m and
Sachan, Mrinmaya",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings ... | Textbooks are one of the main mediums for delivering high-quality education to students. In particular, explanatory and illustrative visuals play a key role in retention, comprehension and general transfer of knowledge. However, many textbooks lack these interesting visuals to support student learning. In this paper, w... | [
"Singh, Janvijay",
"Zouhar, Vil{\\'e}m",
"Sachan, Mrinmaya"
] | Enhancing Textbooks with Visuals from the Web for Improved Learning | emnlp-main.731 | 2304.08931 | [
"https://github.com/eth-nlped/textbook-enrichment"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.732.bib | https://aclanthology.org/2023.emnlp-main.732/ | @inproceedings{wang-etal-2023-continual,
title = "Continual Event Extraction with Semantic Confusion Rectification",
author = "Wang, Zitao and
Wang, Xinyi and
Hu, Wei",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference ... | We study continual event extraction, which aims to extract incessantly emerging event information while avoiding forgetting. We observe that the semantic confusion on event types stems from the annotations of the same text being updated over time. The imbalance between event types even aggravates this issue. This paper... | [
"Wang, Zitao",
"Wang, Xinyi",
"Hu, Wei"
] | Continual Event Extraction with Semantic Confusion Rectification | emnlp-main.732 | 2310.15470 | [
"https://github.com/nju-websoft/SCR"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.733.bib | https://aclanthology.org/2023.emnlp-main.733/ | @inproceedings{farinhas-etal-2023-empirical,
title = "An Empirical Study of Translation Hypothesis Ensembling with Large Language Models",
author = "Farinhas, Ant{\'o}nio and
de Souza, Jos{\'e} and
Martins, Andre",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
bo... | Large language models (LLMs) are becoming a one-fits-many solution, but they sometimes hallucinate or produce unreliable output. In this paper, we investigate how hypothesis ensembling can improve the quality of the generated text for the specific problem of LLM-based machine translation. We experiment with several tec... | [
"Farinhas, Ant{\\'o}nio",
"de Souza, Jos{\\'e}",
"Martins, Andre"
] | An Empirical Study of Translation Hypothesis Ensembling with Large Language Models | emnlp-main.733 | 2310.11430 | [
"https://github.com/deep-spin/translation-hypothesis-ensembling"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.734.bib | https://aclanthology.org/2023.emnlp-main.734/ | @inproceedings{shin-etal-2023-fedtherapist,
title = "{F}ed{T}herapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning",
author = "Shin, Jaemin and
Yoon, Hyungjun and
Lee, Seungjoo and
Park, Sungjoon and
Liu, Yunxin and
... | Psychiatrists diagnose mental disorders via the linguistic use of patients. Still, due to data privacy, existing passive mental health monitoring systems use alternative features such as activity, app usage, and location via mobile devices. We propose FedTherapist, a mobile mental health monitoring system that utilizes... | [
"Shin, Jaemin",
"Yoon, Hyungjun",
"Lee, Seungjoo",
"Park, Sungjoon",
"Liu, Yunxin",
"Choi, Jinho",
"Lee, Sung-Ju"
] | FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning | emnlp-main.734 | 2310.16538 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.735.bib | https://aclanthology.org/2023.emnlp-main.735/ | @inproceedings{kim-etal-2023-visually,
title = "Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models",
author = "Kim, Geewook and
Lee, Hodong and
Kim, Daehee and
Jung, Haeji and
Park, Sanghee and
Kim, Yoonsik and
... | Recent advances in Large Language Models (LLMs) have stimulated a surge of research aimed at extending their applications to the visual domain. While these models exhibit promise in generating abstract image captions and facilitating natural conversations, their performance on text-rich images still requires improvemen... | [
"Kim, Geewook",
"Lee, Hodong",
"Kim, Daehee",
"Jung, Haeji",
"Park, Sanghee",
"Kim, Yoonsik",
"Yun, Sangdoo",
"Kil, Taeho",
"Lee, Bado",
"Park, Seunghyun"
] | Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models | emnlp-main.735 | 2305.15080 | [
"https://github.com/naver-ai/cream"
] | https://huggingface.co/papers/2305.15080 | 0 | 0 | 0 | 10 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.736.bib | https://aclanthology.org/2023.emnlp-main.736/ | @inproceedings{liu-etal-2023-continual,
title = "Continual Learning for Multilingual Neural Machine Translation via Dual Importance-based Model Division",
author = "Liu, Junpeng and
Huang, Kaiyu and
Yu, Hao and
Li, Jiuyi and
Su, Jinsong and
Huang, Degen",
editor = "Bouamor... | A persistent goal of multilingual neural machine translation (MNMT) is to continually adapt the model to support new language pairs or improve some current language pairs without accessing the previous training data. To achieve this, the existing methods primarily focus on preventing catastrophic forgetting by making c... | [
"Liu, Junpeng",
"Huang, Kaiyu",
"Yu, Hao",
"Li, Jiuyi",
"Su, Jinsong",
"Huang, Degen"
] | Continual Learning for Multilingual Neural Machine Translation via Dual Importance-based Model Division | emnlp-main.736 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.737.bib | https://aclanthology.org/2023.emnlp-main.737/ | @inproceedings{xu-etal-2023-simcse,
title = "{S}im{CSE}++: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives",
author = "Xu, Jiahao and
Shao, Wei and
Chen, Lihui and
Liu, Lemao",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
book... | This paper improves contrastive learning for sentence embeddings from two perspectives: handling dropout noise and addressing feature corruption. Specifically, for the first perspective, we identify that the dropout noise from negative pairs affects the model{'}s performance. Therefore, we propose a simple yet effectiv... | [
"Xu, Jiahao",
"Shao, Wei",
"Chen, Lihui",
"Liu, Lemao"
] | SimCSE++: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives | emnlp-main.737 | 2305.13192 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.738.bib | https://aclanthology.org/2023.emnlp-main.738/ | @inproceedings{chen-yang-2023-unlearn,
title = "Unlearn What You Want to Forget: Efficient Unlearning for {LLM}s",
author = "Chen, Jiaao and
Yang, Diyi",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference on Empirical Methods i... | Large language models (LLMs) have achieved significant progress from pre-training on and memorizing a wide range of textual data, however, this process might suffer from privacy issues and violations of data protection regulations. As a result, the ability to easily remove data related to individual users from such mod... | [
"Chen, Jiaao",
"Yang, Diyi"
] | Unlearn What You Want to Forget: Efficient Unlearning for LLMs | emnlp-main.738 | 2310.20150 | [
"https://github.com/SALT-NLP/Efficient_Unlearning"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.739.bib | https://aclanthology.org/2023.emnlp-main.739/ | @inproceedings{cripwell-etal-2023-simplicity,
title = "Simplicity Level Estimate ({SLE}): A Learned Reference-Less Metric for Sentence Simplification",
author = {Cripwell, Liam and
Legrand, Jo{\"e}l and
Gardent, Claire},
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
... | Automatic evaluation for sentence simplification remains a challenging problem. Most popular evaluation metrics require multiple high-quality references {--} something not readily available for simplification {--} which makes it difficult to test performance on unseen domains. Furthermore, most existing metrics conflat... | [
"Cripwell, Liam",
"Legr",
", Jo{\\\"e}l",
"Gardent, Claire"
] | Simplicity Level Estimate (SLE): A Learned Reference-Less Metric for Sentence Simplification | emnlp-main.739 | 2310.08170 | [
"https://github.com/liamcripwell/sle"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.740.bib | https://aclanthology.org/2023.emnlp-main.740/ | @inproceedings{wu-etal-2023-precedent,
title = "Precedent-Enhanced Legal Judgment Prediction with {LLM} and Domain-Model Collaboration",
author = "Wu, Yiquan and
Zhou, Siying and
Liu, Yifei and
Lu, Weiming and
Liu, Xiaozhong and
Zhang, Yating and
Sun, Changlong and
... | Legal Judgment Prediction (LJP) has become an increasingly crucial task in Legal AI, i.e., predicting the judgment of the case in terms of case fact description. Precedents are the previous legal cases with similar facts, which are the basis for the judgment of the subsequent case in national legal systems. Thus, it is... | [
"Wu, Yiquan",
"Zhou, Siying",
"Liu, Yifei",
"Lu, Weiming",
"Liu, Xiaozhong",
"Zhang, Yating",
"Sun, Changlong",
"Wu, Fei",
"Kuang, Kun"
] | Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration | emnlp-main.740 | 2310.09241 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.741.bib | https://aclanthology.org/2023.emnlp-main.741/ | @inproceedings{min-etal-2023-factscore,
title = "{FA}ct{S}core: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation",
author = "Min, Sewon and
Krishna, Kalpesh and
Lyu, Xinxi and
Lewis, Mike and
Yih, Wen-tau and
Koh, Pang and
Iyyer, Mohit a... | Evaluating the factuality of long-form text generated by large language models (LMs) is non-trivial because (1) generations often contain a mixture of supported and unsupported pieces of information, making binary judgments of quality inadequate, and (2) human evaluation is time-consuming and costly. In this paper, we ... | [
"Min, Sewon",
"Krishna, Kalpesh",
"Lyu, Xinxi",
"Lewis, Mike",
"Yih, Wen-tau",
"Koh, Pang",
"Iyyer, Mohit",
"Zettlemoyer, Luke",
"Hajishirzi, Hannaneh"
] | FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation | emnlp-main.741 | 2305.14251 | [
"https://github.com/shmsw25/factscore"
] | https://huggingface.co/papers/2305.14251 | 1 | 1 | 0 | 9 | [
"kalpeshk2011/instruct-llama-7b-wdiff"
] | [] | [] | 1 | Oral |
https://aclanthology.org/2023.emnlp-main.742.bib | https://aclanthology.org/2023.emnlp-main.742/ | @inproceedings{kadlcik-etal-2023-calc,
title = "Calc-{X} and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems",
author = "Kadl{\v{c}}{\'\i}k, Marek and
{\v{S}}tef{\'a}nik, Michal and
Sotolar, Ondrej and
Martinek, Vlastimil",
editor = "Bouam... | Despite outstanding performance in many tasks, language models are notoriously inclined to make factual errors in tasks requiring arithmetic computation. We address this deficiency by creating Calc-X, a collection of datasets that demonstrates the appropriate use of a calculator in reasoning chains. Calc-X is suitable ... | [
"Kadl{\\v{c}}{\\'\\i}k, Marek",
"{\\v{S}}tef{\\'a}nik, Michal",
"Sotolar, Ondrej",
"Martinek, Vlastimil"
] | Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems | emnlp-main.742 | 2305.15017 | [
"https://github.com/prompteus/calc-x"
] | https://huggingface.co/papers/2305.15017 | 0 | 0 | 0 | 2 | [
"MU-NLPC/calcformer-t5-large",
"MU-NLPC/calcformer-flan-xl",
"MU-NLPC/calcformer-t5-xl"
] | [
"MU-NLPC/Calc-ape210k",
"MU-NLPC/Calc-gsm8k",
"MU-NLPC/Calc-math_qa",
"MU-NLPC/Calc-X",
"MU-NLPC/Calc-aqua_rat",
"MU-NLPC/Calc-svamp",
"MU-NLPC/Calc-mawps",
"MU-NLPC/Calc-asdiv_a"
] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.743.bib | https://aclanthology.org/2023.emnlp-main.743/ | @inproceedings{nguyen-etal-2023-cof,
title = "{C}o{F}-{C}o{T}: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain {NLU} Tasks",
author = "Nguyen, Hoang and
Liu, Ye and
Zhang, Chenwei and
Zhang, Tao and
Yu, Philip",
editor = "Bouamor, H... | While Chain-of-Thought prompting is popular in reasoning tasks, its application to Large Language Models (LLMs) in Natural Language Understanding (NLU) is under-explored. Motivated by multi-step reasoning of LLMs, we propose Coarse-to-Fine Chain-of-Thought (CoF-CoT) approach that breaks down NLU tasks into multiple rea... | [
"Nguyen, Hoang",
"Liu, Ye",
"Zhang, Chenwei",
"Zhang, Tao",
"Yu, Philip"
] | CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks | emnlp-main.743 | 2310.14623 | [
"https://github.com/nhhoang96/cof-cot"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.744.bib | https://aclanthology.org/2023.emnlp-main.744/ | @inproceedings{hanna-etal-2023-language,
title = "When Language Models Fall in Love: {A}nimacy Processing in Transformer Language Models",
author = "Hanna, Michael and
Belinkov, Yonatan and
Pezzelle, Sandro",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitl... | Animacy{---}whether an entity is alive and sentient{---}is fundamental to cognitive processing, impacting areas such as memory, vision, and language. However, animacy is not always expressed directly in language: in English it often manifests indirectly, in the form of selectional constraints on verbs and adjectives. T... | [
"Hanna, Michael",
"Belinkov, Yonatan",
"Pezzelle, S",
"ro"
] | When Language Models Fall in Love: Animacy Processing in Transformer Language Models | emnlp-main.744 | 2310.15004 | [
"https://github.com/hannamw/lms-in-love"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.745.bib | https://aclanthology.org/2023.emnlp-main.745/ | @inproceedings{wang-etal-2023-improving-unsupervised,
title = "Improving Unsupervised Relation Extraction by Augmenting Diverse Sentence Pairs",
author = "Wang, Qing and
Zhou, Kang and
Qiao, Qiao and
Li, Yuepei and
Li, Qi",
editor = "Bouamor, Houda and
Pino, Juan and
... | Unsupervised relation extraction (URE) aims to extract relations between named entities from raw text without requiring manual annotations or pre-existing knowledge bases. In recent studies of URE, researchers put a notable emphasis on contrastive learning strategies for acquiring relation representations. However, the... | [
"Wang, Qing",
"Zhou, Kang",
"Qiao, Qiao",
"Li, Yuepei",
"Li, Qi"
] | Improving Unsupervised Relation Extraction by Augmenting Diverse Sentence Pairs | emnlp-main.745 | 2312.00552 | [
"https://github.com/qingwang-isu/augure"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.746.bib | https://aclanthology.org/2023.emnlp-main.746/ | @inproceedings{wahle-etal-2023-paraphrase,
title = "Paraphrase Types for Generation and Detection",
author = "Wahle, Jan Philip and
Gipp, Bela and
Ruas, Terry",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference on Empir... | Current approaches in paraphrase generation and detection heavily rely on a single general similarity score, ignoring the intricate linguistic properties of language. This paper introduces two new tasks to address this shortcoming by considering paraphrase types - specific linguistic perturbations at particular text po... | [
"Wahle, Jan Philip",
"Gipp, Bela",
"Ruas, Terry"
] | Paraphrase Types for Generation and Detection | emnlp-main.746 | 2310.14863 | [
"https://github.com/jpwahle/emnlp23-paraphrase-types"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.747.bib | https://aclanthology.org/2023.emnlp-main.747/ | @inproceedings{zhang-etal-2023-target-source,
title = "Target-to-Source Augmentation for Aspect Sentiment Triplet Extraction",
author = "Zhang, Yice and
Yang, Yifan and
Li, Meng and
Liang, Bin and
Chen, Shiwei and
Xu, Ruifeng",
editor = "Bouamor, Houda and
Pino, Jua... | Aspect Sentiment Triplet Extraction (ASTE) is an important task in sentiment analysis, aiming to extract aspect-level opinions and sentiments from user-generated reviews. The fine-grained nature of ASTE incurs a high annotation cost, while the scarcity of annotated data limits the performance of existing methods. This ... | [
"Zhang, Yice",
"Yang, Yifan",
"Li, Meng",
"Liang, Bin",
"Chen, Shiwei",
"Xu, Ruifeng"
] | Target-to-Source Augmentation for Aspect Sentiment Triplet Extraction | emnlp-main.747 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.748.bib | https://aclanthology.org/2023.emnlp-main.748/ | @inproceedings{liu-etal-2023-pac,
title = "{PAC}-tuning: Fine-tuning Pre-trained Language Models with {PAC}-driven Perturbed Gradient Descent",
author = "Liu, Guangliang and
Xue, Zhiyu and
Zhang, Xitong and
Johnson, Kristen and
Wang, Rongrong",
editor = "Bouamor, Houda and
... | Fine-tuning pretrained language models (PLMs) for downstream tasks is a large-scale optimization problem, in which the choice of the training algorithm critically determines how well the trained model can generalize to unseen test data, especially in the context of few-shot learning. To achieve good generalization perf... | [
"Liu, Guangliang",
"Xue, Zhiyu",
"Zhang, Xitong",
"Johnson, Kristen",
"Wang, Rongrong"
] | PAC-tuning: Fine-tuning Pre-trained Language Models with PAC-driven Perturbed Gradient Descent | emnlp-main.748 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.749.bib | https://aclanthology.org/2023.emnlp-main.749/ | @inproceedings{yun-etal-2023-emergence,
title = "Emergence of Abstract State Representations in Embodied Sequence Modeling",
author = "Yun, Tian and
Zeng, Zilai and
Handa, Kunal and
Thapliyal, Ashish and
Pang, Bo and
Pavlick, Ellie and
Sun, Chen",
editor = "Bouamor,... | Decision making via sequence modeling aims to mimic the success of language models, where actions taken by an embodied agent are modeled as tokens to predict. Despite their promising performance, it remains unclear if embodied sequence modeling leads to the emergence of internal representations that represent the envir... | [
"Yun, Tian",
"Zeng, Zilai",
"H",
"a, Kunal",
"Thapliyal, Ashish",
"Pang, Bo",
"Pavlick, Ellie",
"Sun, Chen"
] | Emergence of Abstract State Representations in Embodied Sequence Modeling | emnlp-main.749 | 2311.02171 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.750.bib | https://aclanthology.org/2023.emnlp-main.750/ | @inproceedings{qin-zhong-2023-accelerating,
title = "Accelerating Toeplitz Neural Network with Constant-time Inference Complexity",
author = "Qin, Zhen and
Zhong, Yiran",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference on Em... | Toeplitz Neural Networks (TNNs) have exhibited outstanding performance in various sequence modeling tasks. They outperform commonly used Transformer-based models while benefiting from log-linear space-time complexities. On the other hand, State Space Models (SSMs) achieve lower performance than TNNs in language modelin... | [
"Qin, Zhen",
"Zhong, Yiran"
] | Accelerating Toeplitz Neural Network with Constant-time Inference Complexity | emnlp-main.750 | 2311.08756 | [
"https://github.com/opennlplab/etsc-exact-toeplitz-to-ssm-conversion"
] | https://huggingface.co/papers/2311.08756 | 1 | 1 | 0 | 2 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.751.bib | https://aclanthology.org/2023.emnlp-main.751/ | @inproceedings{geva-etal-2023-dissecting,
title = "Dissecting Recall of Factual Associations in Auto-Regressive Language Models",
author = "Geva, Mor and
Bastings, Jasmijn and
Filippova, Katja and
Globerson, Amir",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",... | Transformer-based language models (LMs) are known to capture factual knowledge in their parameters. While previous work looked into where factual associations are stored, only little is known about how they are retrieved internally during inference. We investigate this question through the lens of information flow. Giv... | [
"Geva, Mor",
"Bastings, Jasmijn",
"Filippova, Katja",
"Globerson, Amir"
] | Dissecting Recall of Factual Associations in Auto-Regressive Language Models | emnlp-main.751 | 2304.14767 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.752.bib | https://aclanthology.org/2023.emnlp-main.752/ | @inproceedings{jeoung-etal-2023-stereomap,
title = "{S}tereo{M}ap: Quantifying the Awareness of Human-like Stereotypes in Large Language Models",
author = "Jeoung, Sullam and
Ge, Yubin and
Diesner, Jana",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = ... | Large Language Models (LLMs) have been observed to encode and perpetuate harmful associations present in the training data. We propose a theoretically grounded framework called StereoMap to gain insights into their perceptions of how demographic groups have been viewed by society. The framework is grounded in the Stere... | [
"Jeoung, Sullam",
"Ge, Yubin",
"Diesner, Jana"
] | StereoMap: Quantifying the Awareness of Human-like Stereotypes in Large Language Models | emnlp-main.752 | 2310.13673 | [
"https://github.com/sullamij/stereomap"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.753.bib | https://aclanthology.org/2023.emnlp-main.753/ | @inproceedings{pham-etal-2023-select,
title = "Select, Prompt, Filter: Distilling Large Language Models for Summarizing Conversations",
author = "Pham, Minh-Quang and
Indurthi, Sathish and
Chollampatt, Shamil and
Turchi, Marco",
editor = "Bouamor, Houda and
Pino, Juan and
... | Large language models (LLMs) like ChatGPT can be expensive to train, deploy, and use for specific natural language generation tasks such as text summarization and for certain domains. A promising alternative is to fine-tune relatively smaller language models (LMs) on a particular task using high-quality, in-domain data... | [
"Pham, Minh-Quang",
"Indurthi, Sathish",
"Chollampatt, Shamil",
"Turchi, Marco"
] | Select, Prompt, Filter: Distilling Large Language Models for Summarizing Conversations | emnlp-main.753 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.754.bib | https://aclanthology.org/2023.emnlp-main.754/ | @inproceedings{wein-2023-human,
title = "Human Raters Cannot Distinguish {E}nglish Translations from Original {E}nglish Texts",
author = "Wein, Shira",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural... | The term translationese describes the set of linguistic features unique to translated texts, which appear regardless of translation quality. Though automatic classifiers designed to distinguish translated texts achieve high accuracy and prior work has identified common hallmarks of translationese, human accuracy of ide... | [
"Wein, Shira"
] | Human Raters Cannot Distinguish English Translations from Original English Texts | emnlp-main.754 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.755.bib | https://aclanthology.org/2023.emnlp-main.755/ | @inproceedings{kruk-etal-2023-impressions,
title = "Impressions: Visual Semiotics and Aesthetic Impact Understanding",
author = "Kruk, Julia and
Ziems, Caleb and
Yang, Diyi",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Confe... | Is aesthetic impact different from beauty? Is visual salience a reflection of its capacity for effective communication? We present Impressions, a novel dataset through which to investigate the semiotics of images, and how specific visual features and design choices can elicit specific emotions, thoughts and beliefs. We... | [
"Kruk, Julia",
"Ziems, Caleb",
"Yang, Diyi"
] | Impressions: Visual Semiotics and Aesthetic Impact Understanding | emnlp-main.755 | 2310.17887 | [
""
] | https://huggingface.co/papers/2310.17887 | 1 | 1 | 0 | 3 | [] | [
"SALT-NLP/Impressions"
] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.756.bib | https://aclanthology.org/2023.emnlp-main.756/ | @inproceedings{an-etal-2023-dna,
title = "{DNA}: Denoised Neighborhood Aggregation for Fine-grained Category Discovery",
author = "An, Wenbin and
Tian, Feng and
Shi, Wenkai and
Chen, Yan and
Zheng, Qinghua and
Wang, QianYing and
Chen, Ping",
editor = "Bouamor, Houda... | Discovering fine-grained categories from coarsely labeled data is a practical and challenging task, which can bridge the gap between the demand for fine-grained analysis and the high annotation cost. Previous works mainly focus on instance-level discrimination to learn low-level features, but ignore semantic similariti... | [
"An, Wenbin",
"Tian, Feng",
"Shi, Wenkai",
"Chen, Yan",
"Zheng, Qinghua",
"Wang, QianYing",
"Chen, Ping"
] | DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery | emnlp-main.756 | 2310.10151 | [
"https://github.com/Lackel/DNA"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.757.bib | https://aclanthology.org/2023.emnlp-main.757/ | @inproceedings{zhao-etal-2023-prompt,
title = "Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models",
author = "Zhao, Shuai and
Wen, Jinming and
Luu, Anh and
Zhao, Junbo and
Fu, Jie",
editor = "Bouamor, Houda and
Pino, Juan and
Bali... | The prompt-based learning paradigm, which bridges the gap between pre-training and fine-tuning, achieves state-of-the-art performance on several NLP tasks, particularly in few-shot settings. Despite being widely applied, prompt-based learning is vulnerable to backdoor attacks. Textual backdoor attacks are designed to i... | [
"Zhao, Shuai",
"Wen, Jinming",
"Luu, Anh",
"Zhao, Junbo",
"Fu, Jie"
] | Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models | emnlp-main.757 | 2305.01219 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.758.bib | https://aclanthology.org/2023.emnlp-main.758/ | @inproceedings{cheng-etal-2023-uprise,
title = "{UPRISE}: Universal Prompt Retrieval for Improving Zero-Shot Evaluation",
author = "Cheng, Daixuan and
Huang, Shaohan and
Bi, Junyu and
Zhan, Yuefeng and
Liu, Jianfeng and
Wang, Yujing and
Sun, Hao and
Wei, Furu an... | Large Language Models (LLMs) are popular for their impressive abilities, but the need for model-specific fine-tuning or task-specific prompt engineering can hinder their generalization. We propose UPRISE (Universal Prompt Retrieval for Improving zero-Shot Evaluation), which tunes a lightweight and versatile retriever t... | [
"Cheng, Daixuan",
"Huang, Shaohan",
"Bi, Junyu",
"Zhan, Yuefeng",
"Liu, Jianfeng",
"Wang, Yujing",
"Sun, Hao",
"Wei, Furu",
"Deng, Weiwei",
"Zhang, Qi"
] | UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation | emnlp-main.758 | 2303.08518 | [
"https://github.com/microsoft/lmops"
] | https://huggingface.co/papers/2303.08518 | 1 | 0 | 0 | 10 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.759.bib | https://aclanthology.org/2023.emnlp-main.759/ | @inproceedings{yu-etal-2023-krls,
title = "{KRLS}: Improving End-to-End Response Generation in Task Oriented Dialog with Reinforced Keywords Learning",
author = "Yu, Xiao and
Wu, Qingyang and
Qian, Kun and
Yu, Zhou",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika... | In task-oriented dialogs (TOD), reinforcement learning (RL) algorithms train a model to directly optimize response for task-related metrics. However, RL often needs to perform exploration, which can be time-consuming due to the slow auto-regressive sequence generation process. We investigate an approach to create a mor... | [
"Yu, Xiao",
"Wu, Qingyang",
"Qian, Kun",
"Yu, Zhou"
] | KRLS: Improving End-to-End Response Generation in Task Oriented Dialog with Reinforced Keywords Learning | emnlp-main.759 | 2211.16773 | [
"https://github.com/jasonyux/krls"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.760.bib | https://aclanthology.org/2023.emnlp-main.760/ | @inproceedings{koto-etal-2023-large,
title = "Large Language Models Only Pass Primary School Exams in {I}ndonesia: A Comprehensive Test on {I}ndo{MMLU}",
author = "Koto, Fajri and
Aisyah, Nurul and
Li, Haonan and
Baldwin, Timothy",
editor = "Bouamor, Houda and
Pino, Juan and
... | Although large language models (LLMs) are often pre-trained on large-scale multilingual texts, their reasoning abilities and real-world knowledge are mainly evaluated based on English datasets. Assessing LLM capabilities beyond English is increasingly vital but hindered due to the lack of suitable datasets. In this wor... | [
"Koto, Fajri",
"Aisyah, Nurul",
"Li, Haonan",
"Baldwin, Timothy"
] | Large Language Models Only Pass Primary School Exams in Indonesia: A Comprehensive Test on IndoMMLU | emnlp-main.760 | 2310.04928 | [
"https://github.com/fajri91/indommlu"
] | https://huggingface.co/papers/2310.04928 | 0 | 2 | 0 | 4 | [] | [
"indolem/IndoMMLU"
] | [] | 1 | Oral |
https://aclanthology.org/2023.emnlp-main.761.bib | https://aclanthology.org/2023.emnlp-main.761/ | @inproceedings{aggarwal-etal-2023-lets,
title = "Let{'}s Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with {LLM}s",
author = "Aggarwal, Pranjal and
Madaan, Aman and
Yang, Yiming and
{Mausam}",
editor = "Bouamor, Houda and
Pino, Juan and
Bali... | A popular approach for improving the correctness of output from large language models (LLMs) is Self-Consistency - poll the LLM multiple times and output the most frequent solution. Existing Self-Consistency techniques always generate a constant number of samples per question, where a better approach will be to non-uni... | [
"Aggarwal, Pranjal",
"Madaan, Aman",
"Yang, Yiming",
"{Mausam}"
] | Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs | emnlp-main.761 | 2305.11860 | [
"https://github.com/Pranjal2041/AdaptiveConsistency"
] | https://huggingface.co/papers/2305.11860 | 1 | 0 | 0 | 4 | [] | [] | [] | 1 | Oral |
https://aclanthology.org/2023.emnlp-main.762.bib | https://aclanthology.org/2023.emnlp-main.762/ | @inproceedings{cheng-etal-2023-bridging,
title = "Bridging Information-Theoretic and Geometric Compression in Language Models",
author = "Cheng, Emily and
Kervadec, Corentin and
Baroni, Marco",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceeding... | For a language model (LM) to faithfully model human language, it must compress vast, potentially infinite information into relatively few dimensions. We propose analyzing compression in (pre-trained) LMs from two points of view: geometric and information-theoretic. We demonstrate that the two views are highly correlate... | [
"Cheng, Emily",
"Kervadec, Corentin",
"Baroni, Marco"
] | Bridging Information-Theoretic and Geometric Compression in Language Models | emnlp-main.762 | 2310.13620 | [
"https://github.com/chengemily1/id_bridging"
] | https://huggingface.co/papers/2310.13620 | 0 | 0 | 0 | 3 | [] | [] | [] | 1 | Oral |
https://aclanthology.org/2023.emnlp-main.763.bib | https://aclanthology.org/2023.emnlp-main.763/ | @inproceedings{yu-etal-2023-pre,
title = "Pre-training Language Models for Comparative Reasoning",
author = "Yu, Mengxia and
Zhang, Zhihan and
Yu, Wenhao and
Jiang, Meng",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 C... | Comparative reasoning is a process of comparing objects, concepts, or entities to draw conclusions, which constitutes a fundamental cognitive ability. In this paper, we propose a novel framework to pre-train language models for enhancing their abilities of comparative reasoning over texts. While there have been approac... | [
"Yu, Mengxia",
"Zhang, Zhihan",
"Yu, Wenhao",
"Jiang, Meng"
] | Pre-training Language Models for Comparative Reasoning | emnlp-main.763 | 2305.14457 | [
""
] | https://huggingface.co/papers/2305.14457 | 2 | 0 | 0 | 4 | [] | [] | [] | 1 | Oral |
https://aclanthology.org/2023.emnlp-main.764.bib | https://aclanthology.org/2023.emnlp-main.764/ | @inproceedings{geng-etal-2023-improved,
title = "Improved Pseudo Data for Machine Translation Quality Estimation with Constrained Beam Search",
author = "Geng, Xiang and
Zhang, Yu and
Lai, Zhejian and
She, Shuaijie and
Zou, Wei and
Tao, Shimin and
Yang, Hao and
C... | Machine translation (MT) quality estimation (QE) is a crucial task to estimate the quality of MT outputs when reference translations are unavailable. Many studies focus on generating pseudo data using large parallel corpus and achieve remarkable success in the supervised setting. However, pseudo data solutions are less... | [
"Geng, Xiang",
"Zhang, Yu",
"Lai, Zhejian",
"She, Shuaijie",
"Zou, Wei",
"Tao, Shimin",
"Yang, Hao",
"Chen, Jiajun",
"Huang, Shujian"
] | Improved Pseudo Data for Machine Translation Quality Estimation with Constrained Beam Search | emnlp-main.764 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.765.bib | https://aclanthology.org/2023.emnlp-main.765/ | @inproceedings{morris-etal-2023-text,
title = "Text Embeddings Reveal (Almost) As Much As Text",
author = "Morris, John and
Kuleshov, Volodymyr and
Shmatikov, Vitaly and
Rush, Alexander",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedin... | How much private information do text embeddings reveal about the original text? We investigate the problem of embedding \textit{inversion}, reconstructing the full text represented in dense text embeddings. We frame the problem as controlled generation: generating text that, when reembedded, is close to a fixed point i... | [
"Morris, John",
"Kuleshov, Volodymyr",
"Shmatikov, Vitaly",
"Rush, Alex",
"er"
] | Text Embeddings Reveal (Almost) As Much As Text | emnlp-main.765 | 2310.06816 | [
""
] | https://huggingface.co/papers/2310.06816 | 0 | 1 | 0 | 4 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.766.bib | https://aclanthology.org/2023.emnlp-main.766/ | @inproceedings{wang-etal-2023-autotrial,
title = "{A}uto{T}rial: Prompting Language Models for Clinical Trial Design",
author = "Wang, Zifeng and
Xiao, Cao and
Sun, Jimeng",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Confer... | Clinical trials are critical for drug development. Constructing the appropriate eligibility criteria (i.e., the inclusion/exclusion criteria for patient recruitment) is essential for the trial{'}s success. Proper design of clinical trial protocols should consider similar precedent trials and their eligibility criteria ... | [
"Wang, Zifeng",
"Xiao, Cao",
"Sun, Jimeng"
] | AutoTrial: Prompting Language Models for Clinical Trial Design | emnlp-main.766 | 2305.11366 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.767.bib | https://aclanthology.org/2023.emnlp-main.767/ | @inproceedings{cheng-vlachos-2023-faster,
title = "Faster Minimum {B}ayes Risk Decoding with Confidence-based Pruning",
author = "Cheng, Julius and
Vlachos, Andreas",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference on Empiri... | Minimum Bayes risk (MBR) decoding outputs the hypothesis with the highest expected utility over the model distribution for some utility function. It has been shown to improve accuracy over beam search in conditional language generation problems and especially neural machine translation, in both human and automatic eval... | [
"Cheng, Julius",
"Vlachos, Andreas"
] | Faster Minimum Bayes Risk Decoding with Confidence-based Pruning | emnlp-main.767 | 2311.14919 | [
"https://github.com/juliusc/pruning_mbr"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.768.bib | https://aclanthology.org/2023.emnlp-main.768/ | @inproceedings{zhou-etal-2023-enhancing-generative,
title = "Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback",
author = "Zhou, Yujia and
Dou, Zhicheng and
Wen, Ji-Rong",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = ... | The recent advent of end-to-end generative retrieval marks a significant shift in document retrieval methods, leveraging differentiable search indexes to directly produce relevant document identifiers (docids) in response to a specific query. Nevertheless, this approach faces two fundamental challenges: (i) a discrepan... | [
"Zhou, Yujia",
"Dou, Zhicheng",
"Wen, Ji-Rong"
] | Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback | emnlp-main.768 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.769.bib | https://aclanthology.org/2023.emnlp-main.769/ | @inproceedings{li-etal-2023-multi-source-probing,
title = "Multi-Source Probing for Open-Domain Conversational Understanding",
author = "Li, Yuanxi and
Zhou, Hao and
Zhou, Jie and
Huang, Minlie",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "P... | Dialogue comprehension and generation are vital to the success of open-domain dialogue systems. Although pre-trained generative conversation models have made significant progress in generating fluent responses, people have difficulty judging whether they understand and efficiently model the contextual information of th... | [
"Li, Yuanxi",
"Zhou, Hao",
"Zhou, Jie",
"Huang, Minlie"
] | Multi-Source Probing for Open-Domain Conversational Understanding | emnlp-main.769 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.770.bib | https://aclanthology.org/2023.emnlp-main.770/ | @inproceedings{shi-etal-2023-hallucination,
title = "Hallucination Mitigation in Natural Language Generation from Large-Scale Open-Domain Knowledge Graphs",
author = "Shi, Xiao and
Zhu, Zhengyuan and
Zhang, Zeyu and
Li, Chengkai",
editor = "Bouamor, Houda and
Pino, Juan and
... | In generating natural language descriptions for knowledge graph triples, prior works used either small-scale, human-annotated datasets or datasets with limited variety of graph shapes, e.g., those having mostly star graphs. Graph-to-text models trained and evaluated on such datasets are largely not assessed for more re... | [
"Shi, Xiao",
"Zhu, Zhengyuan",
"Zhang, Zeyu",
"Li, Chengkai"
] | Hallucination Mitigation in Natural Language Generation from Large-Scale Open-Domain Knowledge Graphs | emnlp-main.770 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.771.bib | https://aclanthology.org/2023.emnlp-main.771/ | @inproceedings{ni-etal-2023-multi,
title = "Multi-Source Multi-Type Knowledge Exploration and Exploitation for Dialogue Generation",
author = "Ni, Xuanfan and
Dai, Hongliang and
Ren, Zhaochun and
Li, Piji",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
boo... | Open-domain multi-turn dialogue generation encounters the significant challenge of lacking various types of knowledge from diverse sources. Existing models typically focus on identifying specific types of dialogue knowledge and utilize corresponding datasets for training. However, this approach often leads to limited g... | [
"Ni, Xuanfan",
"Dai, Hongliang",
"Ren, Zhaochun",
"Li, Piji"
] | Multi-Source Multi-Type Knowledge Exploration and Exploitation for Dialogue Generation | emnlp-main.771 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.772.bib | https://aclanthology.org/2023.emnlp-main.772/ | @inproceedings{lutati-etal-2023-focus,
title = "Focus Your Attention (with Adaptive {IIR} Filters)",
author = "Lutati, Shahar and
Zimerman, Itamar and
Wolf, Lior",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference on Em... | We present a new layer in which dynamic (i.e., input-dependent) Infinite Impulse Response (IIR) filters of order two are used to process the input sequence prior to applying conventional attention. The input is split into chunks, and the coefficients of these filters are determined based on previous chunks to maintain ... | [
"Lutati, Shahar",
"Zimerman, Itamar",
"Wolf, Lior"
] | Focus Your Attention (with Adaptive IIR Filters) | emnlp-main.772 | 2305.14952 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.773.bib | https://aclanthology.org/2023.emnlp-main.773/ | @inproceedings{maekawa-imai-2023-identifying,
title = "Identifying Statements Crucial for Awareness of Interpretive Nonsense to Prevent Communication Breakdowns",
author = "Maekawa, Tomoyuki and
Imai, Michita",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "... | During remote conversations, communication breakdowns often occur when a listener misses certain statements. Our objective is to prevent such breakdowns by identifying Statements Crucial for Awareness of Interpretive Nonsense (SCAINs). If a listener misses a SCAIN, s/he may interpret subsequent statements differently f... | [
"Maekawa, Tomoyuki",
"Imai, Michita"
] | Identifying Statements Crucial for Awareness of Interpretive Nonsense to Prevent Communication Breakdowns | emnlp-main.773 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.774.bib | https://aclanthology.org/2023.emnlp-main.774/ | @inproceedings{zhang-etal-2023-multilingual,
title = "Multilingual Large Language Models Are Not (Yet) Code-Switchers",
author = "Zhang, Ruochen and
Cahyawijaya, Samuel and
Cruz, Jan Christian Blaise and
Winata, Genta and
Aji, Alham Fikri",
editor = "Bouamor, Houda and
Pin... | Multilingual Large Language Models (LLMs) have recently shown great capabilities in a wide range of tasks, exhibiting state-of-the-art performance through zero-shot or few-shot prompting methods. While there have been extensive studies on their abilities in monolingual tasks, the investigation of their potential in the... | [
"Zhang, Ruochen",
"Cahyawijaya, Samuel",
"Cruz, Jan Christian Blaise",
"Winata, Genta",
"Aji, Alham Fikri"
] | Multilingual Large Language Models Are Not (Yet) Code-Switchers | emnlp-main.774 | 2305.14235 | [
""
] | https://huggingface.co/papers/2305.14235 | 3 | 0 | 1 | 5 | [] | [] | [] | 1 | Oral |
https://aclanthology.org/2023.emnlp-main.775.bib | https://aclanthology.org/2023.emnlp-main.775/ | @inproceedings{dao-etal-2023-reinforced,
title = "Reinforced Target-driven Conversational Promotion",
author = "Dao, Huy and
Liao, Lizi and
Le, Dung and
Nie, Yuxiang",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Confe... | The ability to proactively engage with users towards pitching products is highly desired for conversational assistants. However, existing conversational recommendation methods overemphasize on acquiring user preferences while ignore the strategic planning for nudging users towards accepting a designated item. Hence, th... | [
"Dao, Huy",
"Liao, Lizi",
"Le, Dung",
"Nie, Yuxiang"
] | Reinforced Target-driven Conversational Promotion | emnlp-main.775 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.776.bib | https://aclanthology.org/2023.emnlp-main.776/ | @inproceedings{weinzierl-harabagiu-2023-identification,
title = "Identification of Multimodal Stance Towards Frames of Communication",
author = "Weinzierl, Maxwell and
Harabagiu, Sanda",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 ... | Frames of communication are often evoked in multimedia documents. When an author decides to add an image to a text, one or both of the modalities may evoke a communication frame. Moreover, when evoking the frame, the author also conveys her/his stance towards the frame. Until now, determining if the author is in favor ... | [
"Weinzierl, Maxwell",
"Harabagiu, S",
"a"
] | Identification of Multimodal Stance Towards Frames of Communication | emnlp-main.776 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.777.bib | https://aclanthology.org/2023.emnlp-main.777/ | @inproceedings{zhang-etal-2023-unsupervised,
title = "Unsupervised Sounding Pixel Learning",
author = "Zhang, Yining and
Ji, Yanli and
Yang, Yang",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference on Empirical Methods ... | Sounding source localization is a challenging cross-modal task due to the difficulty of cross-modal alignment. Although supervised cross-modal methods achieve encouraging performance, heavy manual annotations are expensive and inefficient. Thus it is valuable and meaningful to develop unsupervised solutions. In this pa... | [
"Zhang, Yining",
"Ji, Yanli",
"Yang, Yang"
] | Unsupervised Sounding Pixel Learning | emnlp-main.777 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.778.bib | https://aclanthology.org/2023.emnlp-main.778/ | @inproceedings{cohen-etal-2023-lm,
title = "{LM} vs {LM}: Detecting Factual Errors via Cross Examination",
author = "Cohen, Roi and
Hamri, May and
Geva, Mor and
Globerson, Amir",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the... | A prominent weakness of modern language models (LMs) is their tendency to generate factually incorrect text, which hinders their usability. A natural question is whether such factual errors can be detected automatically. Inspired by truth-seeking mechanisms in law, we propose a factuality evaluation framework for LMs t... | [
"Cohen, Roi",
"Hamri, May",
"Geva, Mor",
"Globerson, Amir"
] | LM vs LM: Detecting Factual Errors via Cross Examination | emnlp-main.778 | 2305.13281 | [
""
] | https://huggingface.co/papers/2305.13281 | 0 | 0 | 0 | 4 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.779.bib | https://aclanthology.org/2023.emnlp-main.779/ | @inproceedings{van-dijk-etal-2023-large,
title = "Large Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on Understanding",
author = "van Dijk, Bram and
Kouwenhoven, Tom and
Spruit, Marco and
van Duijn, Max Johannes",
editor = "Bouamor, Houda and
... | Current Large Language Models (LLMs) are unparalleled in their ability to generate grammatically correct, fluent text. LLMs are appearing rapidly, and debates on LLM capacities have taken off, but reflection is lagging behind. Thus, in this position paper, we first zoom in on the debate and critically assess three poin... | [
"van Dijk, Bram",
"Kouwenhoven, Tom",
"Spruit, Marco",
"van Duijn, Max Johannes"
] | Large Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on Understanding | emnlp-main.779 | 2310.19671 | [
""
] | https://huggingface.co/papers/2310.19671 | 0 | 0 | 0 | 4 | [] | [] | [] | 1 | Oral |
https://aclanthology.org/2023.emnlp-main.780.bib | https://aclanthology.org/2023.emnlp-main.780/ | @inproceedings{zhang-etal-2023-pieclass,
title = "{PIEC}lass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training",
author = "Zhang, Yunyi and
Jiang, Minhao and
Meng, Yu and
Zhang, Yu and
Han, Jiawei",
editor = "Bouamor, Houda and
... | Weakly-supervised text classification trains a classifier using the label name of each target class as the only supervision, which largely reduces human annotation efforts. Most existing methods first use the label names as static keyword-based features to generate pseudo labels, which are then used for final classifie... | [
"Zhang, Yunyi",
"Jiang, Minhao",
"Meng, Yu",
"Zhang, Yu",
"Han, Jiawei"
] | PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training | emnlp-main.780 | 2305.13723 | [
"https://github.com/yzhan238/pieclass"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.781.bib | https://aclanthology.org/2023.emnlp-main.781/ | @inproceedings{dai-etal-2023-meaeq,
title = "{M}eae{Q}: Mount Model Extraction Attacks with Efficient Queries",
author = "Dai, Chengwei and
Lv, Minxuan and
Li, Kun and
Zhou, Wei",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of th... | We study model extraction attacks in natural language processing (NLP) where attackers aim to steal victim models by repeatedly querying the open Application Programming Interfaces (APIs). Recent works focus on limited-query budget settings and adopt random sampling or active learning-based sampling strategies on publi... | [
"Dai, Chengwei",
"Lv, Minxuan",
"Li, Kun",
"Zhou, Wei"
] | MeaeQ: Mount Model Extraction Attacks with Efficient Queries | emnlp-main.781 | 2310.14047 | [
"https://github.com/c-w-d/meaeq"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.782.bib | https://aclanthology.org/2023.emnlp-main.782/ | @inproceedings{kim-etal-2023-cot,
title = "The {C}o{T} Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning",
author = "Kim, Seungone and
Joo, Se and
Kim, Doyoung and
Jang, Joel and
Ye, Seonghyeon and
Shin, Jamin and
... | Language models (LMs) with less than 100B parameters are known to perform poorly on chain-of-thought (CoT) reasoning in contrast to large LMs when solving unseen tasks. In this work, we aim to equip smaller LMs with the step-by-step reasoning capability by instruction tuning with CoT rationales. In order to achieve thi... | [
"Kim, Seungone",
"Joo, Se",
"Kim, Doyoung",
"Jang, Joel",
"Ye, Seonghyeon",
"Shin, Jamin",
"Seo, Minjoon"
] | The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning | emnlp-main.782 | 2305.14045 | [
"https://github.com/kaist-lklab/cot-collection"
] | https://huggingface.co/papers/2305.14045 | 4 | 5 | 0 | 7 | [
"kaist-ai/CoT-T5-11B",
"kaist-ai/CoT-T5-3B",
"amphora/polyglot-5.8B-CoT-e1"
] | [
"MarkrAI/KoCommercial-Dataset",
"kaist-ai/CoT-Collection",
"kaist-ai/Multilingual-CoT-Collection",
"kyujinpy/KoCoT_2000",
"pharaouk/CoT-Collection"
] | [
"omegaodin/amphora-polyglot-5.8B-CoT-e1",
"EZUNIGAF/kaist-ai-CoT-T5-3B"
] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.783.bib | https://aclanthology.org/2023.emnlp-main.783/ | @inproceedings{choudhury-etal-2023-explaining,
title = "Explaining Interactions Between Text Spans",
author = "Ray Choudhury, Sagnik and
Atanasova, Pepa and
Augenstein, Isabelle",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 ... | Reasoning over spans of tokens from different parts of the input is essential for natural language understanding (NLU) tasks such as fact-checking (FC), machine reading comprehension (MRC) or natural language inference (NLI). However, existing highlight-based explanations primarily focus on identifying individual impor... | [
"Ray Choudhury, Sagnik",
"Atanasova, Pepa",
"Augenstein, Isabelle"
] | Explaining Interactions Between Text Spans | emnlp-main.783 | 2310.13506 | [
"https://github.com/copenlu/spanex"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.784.bib | https://aclanthology.org/2023.emnlp-main.784/ | @inproceedings{qian-etal-2023-predictive,
title = "Predictive Chemistry Augmented with Text Retrieval",
author = "Qian, Yujie and
Li, Zhening and
Tu, Zhengkai and
Coley, Connor and
Barzilay, Regina",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
boo... | This paper focuses on using natural language descriptions to enhance predictive models in the chemistry field. Conventionally, chemoinformatics models are trained with extensive structured data manually extracted from the literature. In this paper, we introduce TextReact, a novel method that directly augments predictiv... | [
"Qian, Yujie",
"Li, Zhening",
"Tu, Zhengkai",
"Coley, Connor",
"Barzilay, Regina"
] | Predictive Chemistry Augmented with Text Retrieval | emnlp-main.784 | 2312.04881 | [
"https://github.com/thomas0809/textreact"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.785.bib | https://aclanthology.org/2023.emnlp-main.785/ | @inproceedings{qorib-ng-2023-system,
title = "System Combination via Quality Estimation for Grammatical Error Correction",
author = "Qorib, Muhammad Reza and
Ng, Hwee Tou",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference on ... | Quality estimation models have been developed to assess the corrections made by grammatical error correction (GEC) models when the reference or gold-standard corrections are not available. An ideal quality estimator can be utilized to combine the outputs of multiple GEC systems by choosing the best subset of edits from... | [
"Qorib, Muhammad Reza",
"Ng, Hwee Tou"
] | System Combination via Quality Estimation for Grammatical Error Correction | emnlp-main.785 | 2310.14947 | [
"https://github.com/nusnlp/greco"
] | https://huggingface.co/papers/2310.14947 | 0 | 0 | 0 | 2 | [
"mrqorib/grammaticality"
] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.786.bib | https://aclanthology.org/2023.emnlp-main.786/ | @inproceedings{li-etal-2023-rethinking-negative,
title = "Rethinking Negative Pairs in Code Search",
author = "Li, Haochen and
Zhou, Xin and
Luu, Anh and
Miao, Chunyan",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Con... | Recently, contrastive learning has become a key component in fine-tuning code search models for software development efficiency and effectiveness. It pulls together positive code snippets while pushing negative samples away given search queries. Among contrastive learning, InfoNCE is the most widely used loss function ... | [
"Li, Haochen",
"Zhou, Xin",
"Luu, Anh",
"Miao, Chunyan"
] | Rethinking Negative Pairs in Code Search | emnlp-main.786 | 2310.08069 | [
"https://github.com/Alex-HaochenLi/Soft-InfoNCE"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.787.bib | https://aclanthology.org/2023.emnlp-main.787/ | @inproceedings{zhu-etal-2023-question,
title = "Question Answering as Programming for Solving Time-Sensitive Questions",
author = "Zhu, Xinyu and
Yang, Cheng and
Chen, Bei and
Li, Siheng and
Lou, Jian-Guang and
Yang, Yujiu",
editor = "Bouamor, Houda and
Pino, Juan ... | Question answering plays a pivotal role in human daily life because it involves our acquisition of knowledge about the world. However, due to the dynamic and ever-changing nature of real-world facts, the answer can be completely different when the time constraint in the question changes. Recently, Large Language Models... | [
"Zhu, Xinyu",
"Yang, Cheng",
"Chen, Bei",
"Li, Siheng",
"Lou, Jian-Guang",
"Yang, Yujiu"
] | Question Answering as Programming for Solving Time-Sensitive Questions | emnlp-main.787 | 2305.14221 | [
"https://github.com/tianhongzxy/qaap"
] | https://huggingface.co/papers/2305.14221 | 1 | 0 | 0 | 6 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.788.bib | https://aclanthology.org/2023.emnlp-main.788/ | @inproceedings{du-etal-2023-joint,
title = "Joint Geometrical and Statistical Domain Adaptation for Cross-domain Code Vulnerability Detection",
author = "Du, Qianjin and
Zhou, Shiji and
Kuang, Xiaohui and
Zhao, Gang and
Zhai, Jidong",
editor = "Bouamor, Houda and
Pino, Jua... | In code vulnerability detection tasks, a detector trained on a label-rich source domain fails to provide accurate prediction on new or unseen target domains due to the lack of labeled training data on target domains. Previous studies mainly utilize domain adaptation to perform cross-domain vulnerability detection. But ... | [
"Du, Qianjin",
"Zhou, Shiji",
"Kuang, Xiaohui",
"Zhao, Gang",
"Zhai, Jidong"
] | Joint Geometrical and Statistical Domain Adaptation for Cross-domain Code Vulnerability Detection | emnlp-main.788 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.789.bib | https://aclanthology.org/2023.emnlp-main.789/ | @inproceedings{chen-etal-2023-revisiting-sparse,
title = "Revisiting Sparse Retrieval for Few-shot Entity Linking",
author = "Chen, Yulin and
Xu, Zhenran and
Hu, Baotian and
Zhang, Min",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceeding... | Entity linking aims to link ambiguous mentions to their corresponding entities in a knowledge base. One of the key challenges comes from insufficient labeled data for specific domains. Although dense retrievers have achieved excellent performance on several benchmarks, their performance decreases significantly when onl... | [
"Chen, Yulin",
"Xu, Zhenran",
"Hu, Baotian",
"Zhang, Min"
] | Revisiting Sparse Retrieval for Few-shot Entity Linking | emnlp-main.789 | 2310.12444 | [
"https://github.com/hitsz-tmg/sparse-retrieval-fewshot-el"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.790.bib | https://aclanthology.org/2023.emnlp-main.790/ | @inproceedings{agrawal-carpuat-2023-controlling,
title = "Controlling Pre-trained Language Models for Grade-Specific Text Simplification",
author = "Agrawal, Sweta and
Carpuat, Marine",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 C... | Text simplification systems rewrite text to make it more readable while preserving its content. However, what makes a text easy to read depends on the intended readers. Recent work has shown that pre-trained language models can simplify text using a wealth of techniques to control output simplicity, ranging from specif... | [
"Agrawal, Sweta",
"Carpuat, Marine"
] | Controlling Pre-trained Language Models for Grade-Specific Text Simplification | emnlp-main.790 | 2305.14993 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.791.bib | https://aclanthology.org/2023.emnlp-main.791/ | @inproceedings{zhang-etal-2023-clevr,
title = "{CLEVR}-Implicit: A Diagnostic Dataset for Implicit Reasoning in Referring Expression Comprehension",
author = "Zhang, Jingwei and
Wu, Xin and
Cai, Yi",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proc... | Recently, pre-trained vision-language (VL) models have achieved remarkable success in various cross-modal tasks, including referring expression comprehension (REC). These models are pre-trained on the large-scale image-text pairs to learn the alignment between words in textual descriptions and objects in the correspond... | [
"Zhang, Jingwei",
"Wu, Xin",
"Cai, Yi"
] | CLEVR-Implicit: A Diagnostic Dataset for Implicit Reasoning in Referring Expression Comprehension | emnlp-main.791 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.792.bib | https://aclanthology.org/2023.emnlp-main.792/ | @inproceedings{burger-etal-2023-explanations,
title = "{``}Are Your Explanations Reliable?{''} Investigating the Stability of {LIME} in Explaining Text Classifiers by Marrying {XAI} and Adversarial Attack",
author = "Burger, Christopher and
Chen, Lingwei and
Le, Thai",
editor = "Bouamor, Houda... | LIME has emerged as one of the most commonly referenced tools in explainable AI (XAI) frameworks that is integrated into critical machine learning applications (e.g., healthcare and finance). However, its stability remains little explored, especially in the context of text data, due to the unique text-space constraints... | [
"Burger, Christopher",
"Chen, Lingwei",
"Le, Thai"
] | “Are Your Explanations Reliable?” Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack | emnlp-main.792 | null | [
"https://github.com/cburgerolemiss/xaifooler"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.793.bib | https://aclanthology.org/2023.emnlp-main.793/ | @inproceedings{almasian-etal-2023-cqe,
title = "{CQE}: A Comprehensive Quantity Extractor",
author = {Almasian, Satya and
Kazakova, Vivian and
G{\"o}ldner, Philipp and
Gertz, Michael},
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings ... | Quantities are essential in documents to describe factual information. They are ubiquitous in application domains such as finance, business, medicine, and science in general. Compared to other information extraction approaches, interestingly only a few works exist that describe methods for a proper extraction and repre... | [
"Almasian, Satya",
"Kazakova, Vivian",
"G{\\\"o}ldner, Philipp",
"Gertz, Michael"
] | CQE: A Comprehensive Quantity Extractor | emnlp-main.793 | 2305.08853 | [
"https://github.com/satya77/cqe_evaluation"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.794.bib | https://aclanthology.org/2023.emnlp-main.794/ | @inproceedings{ren-etal-2023-context,
title = "Context Compression for Auto-regressive Transformers with Sentinel Tokens",
author = "Ren, Siyu and
Jia, Qi and
Zhu, Kenny",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conferen... | The quadratic complexity of the attention module makes it gradually become the bulk of compute in Transformer-based LLMs during generation. Moreover, the excessive key-value cache that arises when dealing with long inputs also brings severe issues on memory footprint and inference latency. In this work, we propose a pl... | [
"Ren, Siyu",
"Jia, Qi",
"Zhu, Kenny"
] | Context Compression for Auto-regressive Transformers with Sentinel Tokens | emnlp-main.794 | 2310.08152 | [
"https://github.com/DRSY/KV_Compression"
] | https://huggingface.co/papers/2310.08152 | 0 | 1 | 0 | 3 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.emnlp-main.795.bib | https://aclanthology.org/2023.emnlp-main.795/ | @inproceedings{chen-etal-2023-unified,
title = "A Unified View of Evaluation Metrics for Structured Prediction",
author = "Chen, Yunmo and
Gantt, William and
Chen, Tongfei and
White, Aaron and
Van Durme, Benjamin",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, K... | We present a conceptual framework that unifies a variety of evaluation metrics for different structured prediction tasks (e.g. event and relation extraction, syntactic and semantic parsing). Our framework requires representing the outputs of these tasks as objects of certain data types, and derives metrics through matc... | [
"Chen, Yunmo",
"Gantt, William",
"Chen, Tongfei",
"White, Aaron",
"Van Durme, Benjamin"
] | A Unified View of Evaluation Metrics for Structured Prediction | emnlp-main.795 | 2310.13793 | [
"https://github.com/wanmok/metametric"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.796.bib | https://aclanthology.org/2023.emnlp-main.796/ | @inproceedings{tsur-tulpan-2023-deeper,
title = "A Deeper (Autoregressive) Approach to Non-Convergent Discourse Parsing",
author = "Tsur, Oren and
Tulpan, Yoav",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference on Empirical M... | Online social platforms provide a bustling arena for information-sharing and for multi-party discussions. Various frameworks for dialogic discourse parsing were developed and used for the processing of discussions and for predicting the productivity of a dialogue. However, most of these frameworks are not suitable for ... | [
"Tsur, Oren",
"Tulpan, Yoav"
] | A Deeper (Autoregressive) Approach to Non-Convergent Discourse Parsing | emnlp-main.796 | 2305.12510 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.797.bib | https://aclanthology.org/2023.emnlp-main.797/ | @inproceedings{wahle-etal-2023-cite,
title = "We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic Fields",
author = "Wahle, Jan Philip and
Ruas, Terry and
Abdalla, Mohamed and
Gipp, Bela and
Mohammad, Saif",
editor = "Bouamor, Houda an... | Natural Language Processing (NLP) is poised to substantially influence the world. However, significant progress comes hand-in-hand with substantial risks. Addressing them requires broad engagement with various fields of study. Yet, little empirical work examines the state of such engagement (past or current). In this p... | [
"Wahle, Jan Philip",
"Ruas, Terry",
"Abdalla, Mohamed",
"Gipp, Bela",
"Mohammad, Saif"
] | We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic Fields | emnlp-main.797 | 2310.14870 | [
"https://github.com/jpwahle/emnlp23-citation-field-influence"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Oral | |
https://aclanthology.org/2023.emnlp-main.798.bib | https://aclanthology.org/2023.emnlp-main.798/ | @inproceedings{deutsch-etal-2023-ties,
title = "Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration",
author = "Deutsch, Daniel and
Foster, George and
Freitag, Markus",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "... | Kendall{'}s tau is frequently used to meta-evaluate how well machine translation (MT) evaluation metrics score individual translations. Its focus on pairwise score comparisons is intuitive but raises the question of how ties should be handled, a gray area that has motivated different variants in the literature. We demo... | [
"Deutsch, Daniel",
"Foster, George",
"Freitag, Markus"
] | Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration | emnlp-main.798 | 2305.14324 | [
"https://github.com/google-research/mt-metrics-eval"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.emnlp-main.799.bib | https://aclanthology.org/2023.emnlp-main.799/ | @inproceedings{kim-etal-2023-soda,
title = "{SODA}: Million-scale Dialogue Distillation with Social Commonsense Contextualization",
author = "Kim, Hyunwoo and
Hessel, Jack and
Jiang, Liwei and
West, Peter and
Lu, Ximing and
Yu, Youngjae and
Zhou, Pei and
Bras, Ro... | Data scarcity has been a long standing issue in the field of open-domain social dialogue. To quench this thirst, we present SODA: the first publicly available, million-scale high-quality social dialogue dataset. By contextualizing social commonsense knowledge from a knowledge graph, we are able to distill an exceptiona... | [
"Kim, Hyunwoo",
"Hessel, Jack",
"Jiang, Liwei",
"West, Peter",
"Lu, Ximing",
"Yu, Youngjae",
"Zhou, Pei",
"Bras, Ronan",
"Alikhani, Malihe",
"Kim, Gunhee",
"Sap, Maarten",
"Choi, Yejin"
] | SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization | emnlp-main.799 | 2212.10465 | [
"https://github.com/skywalker023/sodaverse"
] | https://huggingface.co/papers/2212.10465 | 1 | 1 | 0 | 11 | [
"allenai/cosmo-xl"
] | [
"nvidia/ChatQA-Training-Data",
"allenai/soda",
"emozilla/soda_synthetic_dialogue"
] | [
"trl-internal-testing/rlhf_dialog_experiment",
"camileLDJ/allenai-cosmo-xl",
"qipchip/allenai-cosmo-xl",
"Lawlieties/allenai-cosmo-xl",
"n-drw/allenai-cosmo-xl",
"awacke1/Chat-Conversation-allenai-cosmo-xl",
"RenanSimoes/allenai-cosmo-xl",
"immanuelzhu/allenai-cosmo-xl",
"Astrea/allenai-cosmo-xl",
... | 1 | Oral |
https://aclanthology.org/2023.emnlp-main.800.bib | https://aclanthology.org/2023.emnlp-main.800/ | @inproceedings{hu-etal-2023-multi,
title = "Multi-view Contrastive Learning for Entity Typing over Knowledge Graphs",
author = "Hu, Zhiwei and
Basulto, Victor and
Xiang, Zhiliang and
Li, Ru and
Pan, Jeff",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
... | Knowledge graph entity typing (KGET) aims at inferring plausible types of entities in knowledge graphs. Existing approaches to KGET focus on how to better encode the knowledge provided by the neighbors and types of an entity into its representation. However, they ignore the semantic knowledge provided by the way in whi... | [
"Hu, Zhiwei",
"Basulto, Victor",
"Xiang, Zhiliang",
"Li, Ru",
"Pan, Jeff"
] | Multi-view Contrastive Learning for Entity Typing over Knowledge Graphs | emnlp-main.800 | 2310.12008 | [
"https://github.com/zhiweihu1103/et-mclet"
] | https://huggingface.co/papers/2310.12008 | 0 | 2 | 0 | 5 | [] | [] | [] | 1 | Poster |
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