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2,406.17536 | MedMNIST-C: Comprehensive benchmark and improved classifier robustness
by simulating realistic image corruptions | ['Francesco Di Salvo', 'Sebastian Doerrich', 'Christian Ledig'] | ['eess.IV', 'cs.CV', 'cs.LG'] | The integration of neural-network-based systems into clinical practice is
limited by challenges related to domain generalization and robustness. The
computer vision community established benchmarks such as ImageNet-C as a
fundamental prerequisite to measure progress towards those challenges. Similar
datasets are largel... | 2024-06-25T13:20:39Z | Accepted at MICCAI Workshop on Advancing Data Solutions in Medical
Imaging AI (ADSMI @ MICCAI 2024) | null | null | null | null | null | null | null | null | null |
2,406.17557 | The FineWeb Datasets: Decanting the Web for the Finest Text Data at
Scale | ['Guilherme Penedo', 'Hynek Kydlíček', 'Loubna Ben allal', 'Anton Lozhkov', 'Margaret Mitchell', 'Colin Raffel', 'Leandro Von Werra', 'Thomas Wolf'] | ['cs.CL'] | The performance of a large language model (LLM) depends heavily on the
quality and size of its pretraining dataset. However, the pretraining datasets
for state-of-the-art open LLMs like Llama 3 and Mixtral are not publicly
available and very little is known about how they were created. In this work,
we introduce FineWe... | 2024-06-25T13:50:56Z | null | null | null | The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale | ['Guilherme Penedo', 'Hynek Kydlícek', 'Loubna Ben Allal', 'Anton Lozhkov', 'Margaret Mitchell', 'Colin Raffel', 'L. V. Werra', 'Thomas Wolf'] | 2,024 | Neural Information Processing Systems | 265 | 61 | ['Computer Science'] |
2,406.17636 | Aligning Diffusion Models with Noise-Conditioned Perception | ['Alexander Gambashidze', 'Anton Kulikov', 'Yuriy Sosnin', 'Ilya Makarov'] | ['cs.CV', 'cs.AI'] | Recent advancements in human preference optimization, initially developed for
Language Models (LMs), have shown promise for text-to-image Diffusion Models,
enhancing prompt alignment, visual appeal, and user preference. Unlike LMs,
Diffusion Models typically optimize in pixel or VAE space, which does not align
well wit... | 2024-06-25T15:21:50Z | null | null | null | Aligning Diffusion Models with Noise-Conditioned Perception | ['Alexander Gambashidze', 'Anton Kulikov', 'Yuriy Sosnin', 'Ilya Makarov'] | 2,024 | arXiv.org | 5 | 44 | ['Computer Science'] |
2,406.17667 | This Paper Had the Smartest Reviewers -- Flattery Detection Utilising an
Audio-Textual Transformer-Based Approach | ['Lukas Christ', 'Shahin Amiriparian', 'Friederike Hawighorst', 'Ann-Kathrin Schill', 'Angelo Boutalikakis', 'Lorenz Graf-Vlachy', 'Andreas König', 'Björn W. Schuller'] | ['cs.SD', 'cs.CL', 'eess.AS'] | Flattery is an important aspect of human communication that facilitates
social bonding, shapes perceptions, and influences behavior through strategic
compliments and praise, leveraging the power of speech to build rapport
effectively. Its automatic detection can thus enhance the naturalness of
human-AI interactions. To... | 2024-06-25T15:57:02Z | Interspeech 2024 | null | null | null | null | null | null | null | null | null |
2,406.1772 | BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity | ['Chih-Hsuan Yang', 'Benjamin Feuer', 'Zaki Jubery', 'Zi K. Deng', 'Andre Nakkab', 'Md Zahid Hasan', 'Shivani Chiranjeevi', 'Kelly Marshall', 'Nirmal Baishnab', 'Asheesh K Singh', 'Arti Singh', 'Soumik Sarkar', 'Nirav Merchant', 'Chinmay Hegde', 'Baskar Ganapathysubramanian'] | ['cs.CV'] | We introduce BioTrove, the largest publicly accessible dataset designed to
advance AI applications in biodiversity. Curated from the iNaturalist platform
and vetted to include only research-grade data, BioTrove contains 161.9 million
images, offering unprecedented scale and diversity from three primary kingdoms:
Animal... | 2024-06-25T17:09:54Z | null | null | null | BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity | ['Chih-Hsuan Yang', 'Ben Feuer', 'Z. Jubery', 'Zi K. Deng', 'Andre Nakkab', 'Md Zahid Zahid Hasan', 'Shivani Chiranjeevi', 'Kelly O. Marshall', 'Nirmal Baishnab', 'Asheesh K. Singh', 'Arti Singh', 'Soumik Sarkar', 'Nirav C. Merchant', 'Chinmay Hegde', 'B. Ganapathysubramanian'] | 2,024 | Neural Information Processing Systems | 8 | 52 | ['Computer Science'] |
2,406.17741 | Point-SAM: Promptable 3D Segmentation Model for Point Clouds | ['Yuchen Zhou', 'Jiayuan Gu', 'Tung Yen Chiang', 'Fanbo Xiang', 'Hao Su'] | ['cs.CV', 'cs.AI'] | The development of 2D foundation models for image segmentation has been
significantly advanced by the Segment Anything Model (SAM). However, achieving
similar success in 3D models remains a challenge due to issues such as
non-unified data formats, poor model scalability, and the scarcity of labeled
data with diverse ma... | 2024-06-25T17:28:03Z | null | null | null | null | null | null | null | null | null | null |
2,406.17753 | Measuring and Benchmarking Large Language Models' Capabilities to
Generate Persuasive Language | ['Amalie Brogaard Pauli', 'Isabelle Augenstein', 'Ira Assent'] | ['cs.CL', 'cs.AI'] | We are exposed to much information trying to influence us, such as teaser
messages, debates, politically framed news, and propaganda - all of which use
persuasive language. With the recent interest in Large Language Models (LLMs),
we study the ability of LLMs to produce persuasive text. As opposed to prior
work which f... | 2024-06-25T17:40:47Z | NAACL 2025 | null | null | null | null | null | null | null | null | null |
2,406.17758 | MotionBooth: Motion-Aware Customized Text-to-Video Generation | ['Jianzong Wu', 'Xiangtai Li', 'Yanhong Zeng', 'Jiangning Zhang', 'Qianyu Zhou', 'Yining Li', 'Yunhai Tong', 'Kai Chen'] | ['cs.CV'] | In this work, we present MotionBooth, an innovative framework designed for
animating customized subjects with precise control over both object and camera
movements. By leveraging a few images of a specific object, we efficiently
fine-tune a text-to-video model to capture the object's shape and attributes
accurately. Ou... | 2024-06-25T17:42:25Z | (NeurIPS 2024 Spotlight) Project page at
https://jianzongwu.github.io/projects/motionbooth | null | null | null | null | null | null | null | null | null |
2,406.1777 | MG-LLaVA: Towards Multi-Granularity Visual Instruction Tuning | ['Xiangyu Zhao', 'Xiangtai Li', 'Haodong Duan', 'Haian Huang', 'Yining Li', 'Kai Chen', 'Hua Yang'] | ['cs.CV'] | Multi-modal large language models (MLLMs) have made significant strides in
various visual understanding tasks. However, the majority of these models are
constrained to process low-resolution images, which limits their effectiveness
in perception tasks that necessitate detailed visual information. In our study,
we prese... | 2024-06-25T17:55:11Z | null | null | null | MG-LLaVA: Towards Multi-Granularity Visual Instruction Tuning | ['Xiangyu Zhao', 'Xiangtai Li', 'Haodong Duan', 'Haian Huang', 'Yining Li', 'Kai Chen', 'Hua Yang'] | 2,024 | arXiv.org | 12 | 78 | ['Computer Science'] |
2,406.18009 | E2 TTS: Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS | ['Sefik Emre Eskimez', 'Xiaofei Wang', 'Manthan Thakker', 'Canrun Li', 'Chung-Hsien Tsai', 'Zhen Xiao', 'Hemin Yang', 'Zirun Zhu', 'Min Tang', 'Xu Tan', 'Yanqing Liu', 'Sheng Zhao', 'Naoyuki Kanda'] | ['eess.AS', 'cs.SD'] | This paper introduces Embarrassingly Easy Text-to-Speech (E2 TTS), a fully
non-autoregressive zero-shot text-to-speech system that offers human-level
naturalness and state-of-the-art speaker similarity and intelligibility. In the
E2 TTS framework, the text input is converted into a character sequence with
filler tokens... | 2024-06-26T01:38:37Z | Accepted to SLT 2024. Added evaluation data, see
https://github.com/microsoft/e2tts-test-suite for more details | null | null | E2 TTS: Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS | ['S. Eskimez', 'Xiaofei Wang', 'Manthan Thakker', 'Canrun Li', 'Chung-Hsien Tsai', 'Zhen Xiao', 'Hemin Yang', 'Zirun Zhu', 'Min Tang', 'Xu Tan', 'Yanqing Liu', 'Sheng Zhao', 'Naoyuki Kanda'] | 2,024 | Spoken Language Technology Workshop | 70 | 37 | ['Computer Science', 'Engineering'] |
2,406.18069 | Large Language Models for Cuffless Blood Pressure Measurement From
Wearable Biosignals | ['Zengding Liu', 'Chen Chen', 'Jiannong Cao', 'Minglei Pan', 'Jikui Liu', 'Nan Li', 'Fen Miao', 'Ye Li'] | ['eess.SP', 'cs.AI', 'cs.CL'] | Large language models (LLMs) have captured significant interest from both
academia and industry due to their impressive performance across various
textual tasks. However, the potential of LLMs to analyze physiological
time-series data remains an emerging research field. Particularly, there is a
notable gap in the utili... | 2024-06-26T04:54:45Z | null | null | null | Large Language Models for Cuffless Blood Pressure Measurement From Wearable Biosignals | ['Zengding Liu', 'Chen Chen', 'Jiannong Cao', 'Minglei Pan', 'Ji-Kui Liu', 'Nan Li', 'F. Miao', 'Ye Li'] | 2,024 | ACM International Conference on Bioinformatics, Computational Biology and Biomedicine | 3 | 46 | ['Computer Science', 'Engineering'] |
2,406.18082 | Octo-planner: On-device Language Model for Planner-Action Agents | ['Wei Chen', 'Zhiyuan Li', 'Zhen Guo', 'Yikang Shen'] | ['cs.CL', 'cs.HC'] | AI agents have become increasingly significant in various domains, enabling
autonomous decision-making and problem-solving. To function effectively, these
agents require a planning process that determines the best course of action and
then executes the planned actions. In this paper, we present an efficient
on-device P... | 2024-06-26T05:40:10Z | null | null | null | null | null | null | null | null | null | null |
2,406.1812 | ArzEn-LLM: Code-Switched Egyptian Arabic-English Translation and Speech
Recognition Using LLMs | ['Ahmed Heakl', 'Youssef Zaghloul', 'Mennatullah Ali', 'Rania Hossam', 'Walid Gomaa'] | ['cs.CL', 'cs.AI', 'cs.CY', 'cs.LG'] | Motivated by the widespread increase in the phenomenon of code-switching
between Egyptian Arabic and English in recent times, this paper explores the
intricacies of machine translation (MT) and automatic speech recognition (ASR)
systems, focusing on translating code-switched Egyptian Arabic-English to
either English or... | 2024-06-26T07:19:51Z | 9 pages, 4 figures, 5 tables, 6th International Conference on AI in
Computational Linguistics | null | null | null | null | null | null | null | null | null |
2,406.18125 | ResumeAtlas: Revisiting Resume Classification with Large-Scale Datasets
and Large Language Models | ['Ahmed Heakl', 'Youssef Mohamed', 'Noran Mohamed', 'Aly Elsharkawy', 'Ahmed Zaky'] | ['cs.CL', 'cs.AI', 'cs.CY', 'cs.LG'] | The increasing reliance on online recruitment platforms coupled with the
adoption of AI technologies has highlighted the critical need for efficient
resume classification methods. However, challenges such as small datasets, lack
of standardized resume templates, and privacy concerns hinder the accuracy and
effectivenes... | 2024-06-26T07:25:18Z | 8 pages, 6 figures, 1 table, 6th International Conference on AI in
Computational Linguistics | null | null | null | null | null | null | null | null | null |
2,406.18151 | SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from
Monocular Remote Sensing Imagery | ['Jian Song', 'Hongruixuan Chen', 'Weihao Xuan', 'Junshi Xia', 'Naoto Yokoya'] | ['cs.CV'] | Global semantic 3D understanding from single-view high-resolution remote
sensing (RS) imagery is crucial for Earth Observation (EO). However, this task
faces significant challenges due to the high costs of annotations and data
collection, as well as geographically restricted data availability. To address
these challeng... | 2024-06-26T08:04:42Z | Accepted at NeurIPS 2024 as a Spotlight | null | null | null | null | null | null | null | null | null |
2,406.18164 | Nebula: A discourse aware Minecraft Builder | ['Akshay Chaturvedi', 'Kate Thompson', 'Nicholas Asher'] | ['cs.CL', 'cs.LG'] | When engaging in collaborative tasks, humans efficiently exploit the semantic
structure of a conversation to optimize verbal and nonverbal interactions. But
in recent "language to code" or "language to action" models, this information
is lacking. We show how incorporating the prior discourse and nonlinguistic
context o... | 2024-06-26T08:24:44Z | EMNLP 2024 Findings | null | null | null | null | null | null | null | null | null |
2,406.18254 | Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with
1-to-K Contrastive Learning | ['Zhijie Nie', 'Richong Zhang', 'Zhangchi Feng', 'Hailang Huang', 'Xudong Liu'] | ['cs.IR', 'cs.AI', 'cs.MM'] | Cross-lingual Cross-modal Retrieval (CCR) is an essential task in web search,
which aims to break the barriers between modality and language simultaneously
and achieves image-text retrieval in the multi-lingual scenario with a single
model. In recent years, excellent progress has been made based on cross-lingual
cross-... | 2024-06-26T11:04:25Z | Accepted by KDD 2024 Research Track | null | 10.1145/3637528.3671787 | Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive Learning | ['Zhijie Nie', 'Richong Zhang', 'Zhangchi Feng', 'Hailang Huang', 'Xudong Liu'] | 2,024 | Knowledge Discovery and Data Mining | 3 | 42 | ['Computer Science'] |
2,406.18266 | "Vorbeşti Româneşte?" A Recipe to Train Powerful Romanian LLMs
with English Instructions | ['Mihai Masala', 'Denis C. Ilie-Ablachim', 'Alexandru Dima', 'Dragos Corlatescu', 'Miruna Zavelca', 'Ovio Olaru', 'Simina Terian', 'Andrei Terian', 'Marius Leordeanu', 'Horia Velicu', 'Marius Popescu', 'Mihai Dascalu', 'Traian Rebedea'] | ['cs.CL'] | In recent years, Large Language Models (LLMs) have achieved almost human-like
performance on various tasks. While some LLMs have been trained on multilingual
data, most of the training data is in English; hence, their performance in
English greatly exceeds other languages. To our knowledge, we are the first to
collect ... | 2024-06-26T11:39:51Z | Accepted at The 2024 Conference on Empirical Methods in Natural
Language Processing (EMNLP 2024 Findings). arXiv admin note: text overlap
with arXiv:2405.07703 | null | null | "Vorbe\c{s}ti Rom\^ane\c{s}te?"A Recipe to Train Powerful Romanian LLMs with English Instructions | ['Mihai Masala', 'Denis C. Ilie-Ablachim', 'Alexandru Dima', 'D. Corlatescu', 'Miruna Zavelca', 'Ovio Olaru', 'Simina Terian-Dan', 'Andrei Terian-Dan', 'Marius Leordeanu', 'Horia Velicu', 'Marius Popescu', 'Mihai Dascalu', 'Traian Rebedea'] | 2,024 | null | 0 | 57 | ['Computer Science'] |
2,406.18365 | Themis: A Reference-free NLG Evaluation Language Model with Flexibility
and Interpretability | ['Xinyu Hu', 'Li Lin', 'Mingqi Gao', 'Xunjian Yin', 'Xiaojun Wan'] | ['cs.CL'] | The evaluation of natural language generation (NLG) tasks is a significant
and longstanding research area. With the recent emergence of powerful large
language models (LLMs), some studies have turned to LLM-based automatic
evaluation methods, which demonstrate great potential to become a new
evaluation paradigm followi... | 2024-06-26T14:04:29Z | Accepted by EMNLP 2024 | null | null | null | null | null | null | null | null | null |
2,406.18495 | WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks,
and Refusals of LLMs | ['Seungju Han', 'Kavel Rao', 'Allyson Ettinger', 'Liwei Jiang', 'Bill Yuchen Lin', 'Nathan Lambert', 'Yejin Choi', 'Nouha Dziri'] | ['cs.CL'] | We introduce WildGuard -- an open, light-weight moderation tool for LLM
safety that achieves three goals: (1) identifying malicious intent in user
prompts, (2) detecting safety risks of model responses, and (3) determining
model refusal rate. Together, WildGuard serves the increasing needs for
automatic safety moderati... | 2024-06-26T16:58:20Z | NeurIPS 2024 Camera Ready. First two authors contributed equally.
Third and fourth authors contributed equally | null | null | null | null | null | null | null | null | null |
2,406.1851 | WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially)
Safer Language Models | ['Liwei Jiang', 'Kavel Rao', 'Seungju Han', 'Allyson Ettinger', 'Faeze Brahman', 'Sachin Kumar', 'Niloofar Mireshghallah', 'Ximing Lu', 'Maarten Sap', 'Yejin Choi', 'Nouha Dziri'] | ['cs.CL'] | We introduce WildTeaming, an automatic LLM safety red-teaming framework that
mines in-the-wild user-chatbot interactions to discover 5.7K unique clusters of
novel jailbreak tactics, and then composes multiple tactics for systematic
exploration of novel jailbreaks. Compared to prior work that performed
red-teaming via r... | 2024-06-26T17:31:22Z | null | null | null | WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models | ['Liwei Jiang', 'Kavel Rao', 'Seungju Han', 'Allyson Ettinger', 'Faeze Brahman', 'Sachin Kumar', 'Niloofar Mireshghallah', 'Ximing Lu', 'Maarten Sap', 'Yejin Choi', 'Nouha Dziri'] | 2,024 | Neural Information Processing Systems | 72 | 0 | ['Computer Science'] |
2,406.18518 | APIGen: Automated Pipeline for Generating Verifiable and Diverse
Function-Calling Datasets | ['Zuxin Liu', 'Thai Hoang', 'Jianguo Zhang', 'Ming Zhu', 'Tian Lan', 'Shirley Kokane', 'Juntao Tan', 'Weiran Yao', 'Zhiwei Liu', 'Yihao Feng', 'Rithesh Murthy', 'Liangwei Yang', 'Silvio Savarese', 'Juan Carlos Niebles', 'Huan Wang', 'Shelby Heinecke', 'Caiming Xiong'] | ['cs.CL', 'cs.AI', 'cs.LG', 'cs.SE'] | The advancement of function-calling agent models requires diverse, reliable,
and high-quality datasets. This paper presents APIGen, an automated data
generation pipeline designed to synthesize verifiable high-quality datasets for
function-calling applications. We leverage APIGen and collect 3,673 executable
APIs across... | 2024-06-26T17:49:11Z | null | null | null | APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets | ['Zuxin Liu', 'Thai Hoang', 'Jianguo Zhang', 'Ming Zhu', 'Tian Lan', 'Shirley Kokane', 'Juntao Tan', 'Weiran Yao', 'Zhiwei Liu', 'Yihao Feng', 'Rithesh Murthy', 'Liangwei Yang', 'Silvio Savarese', 'Juan Carlos Niebles', 'Huan Wang', 'Shelby Heinecke', 'Caiming Xiong'] | 2,024 | Neural Information Processing Systems | 62 | 54 | ['Computer Science'] |
2,406.18522 | ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of
Text-to-Time-lapse Video Generation | ['Shenghai Yuan', 'Jinfa Huang', 'Yongqi Xu', 'Yaoyang Liu', 'Shaofeng Zhang', 'Yujun Shi', 'Ruijie Zhu', 'Xinhua Cheng', 'Jiebo Luo', 'Li Yuan'] | ['cs.CV', 'cs.CL'] | We propose a novel text-to-video (T2V) generation benchmark,
ChronoMagic-Bench, to evaluate the temporal and metamorphic capabilities of the
T2V models (e.g. Sora and Lumiere) in time-lapse video generation. In contrast
to existing benchmarks that focus on visual quality and textual relevance of
generated videos, Chron... | 2024-06-26T17:50:47Z | NeurIPS D&B 2024 (Spotlight) | null | null | ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation | ['Shenghai Yuan', 'Jinfa Huang', 'Yongqi Xu', 'Yaoyang Liu', 'Shaofeng Zhang', 'Yujun Shi', 'Ruijie Zhu', 'Xinhua Cheng', 'Jiebo Luo', 'Li Yuan'] | 2,024 | Neural Information Processing Systems | 40 | 86 | ['Computer Science'] |
2,406.18587 | Nomic Embed Vision: Expanding the Latent Space | ['Zach Nussbaum', 'Brandon Duderstadt', 'Andriy Mulyar'] | ['cs.CV', 'cs.AI'] | This technical report describes the training of nomic-embed-vision, a highly
performant, open-code, open-weights image embedding model that shares the same
latent space as nomic-embed-text. Together, nomic-embed-vision and
nomic-embed-text form the first unified latent space to achieve high
performance across vision, l... | 2024-06-06T21:02:51Z | null | null | null | null | null | null | null | null | null | null |
2,406.18629 | Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of
LLMs | ['Xin Lai', 'Zhuotao Tian', 'Yukang Chen', 'Senqiao Yang', 'Xiangru Peng', 'Jiaya Jia'] | ['cs.LG', 'cs.AI', 'cs.CL'] | Mathematical reasoning presents a significant challenge for Large Language
Models (LLMs) due to the extensive and precise chain of reasoning required for
accuracy. Ensuring the correctness of each reasoning step is critical. To
address this, we aim to enhance the robustness and factuality of LLMs by
learning from human... | 2024-06-26T17:43:06Z | Code, data, and models are available at
https://github.com/dvlab-research/Step-DPO | null | null | null | null | null | null | null | null | null |
2,406.18682 | The Multilingual Alignment Prism: Aligning Global and Local Preferences
to Reduce Harm | ['Aakanksha', 'Arash Ahmadian', 'Beyza Ermis', 'Seraphina Goldfarb-Tarrant', 'Julia Kreutzer', 'Marzieh Fadaee', 'Sara Hooker'] | ['cs.CL', 'cs.AI', 'cs.LG'] | A key concern with the concept of "alignment" is the implicit question of
"alignment to what?". AI systems are increasingly used across the world, yet
safety alignment is often focused on homogeneous monolingual settings.
Additionally, preference training and safety measures often overfit to harms
common in Western-cen... | 2024-06-26T18:39:08Z | null | null | null | null | null | null | null | null | null | null |
2,406.19071 | EmPO: Emotion Grounding for Empathetic Response Generation through
Preference Optimization | ['Ondrej Sotolar', 'Vojtech Formanek', 'Alok Debnath', 'Allison Lahnala', 'Charles Welch', 'Lucie FLek'] | ['cs.CL', 'cs.AI', '68T50', 'I.2.7'] | Empathetic response generation is a desirable aspect of conversational
agents, crucial for facilitating engaging and emotionally intelligent
multi-turn conversations between humans and machines. Leveraging large language
models for this task has shown promising results, yet challenges persist in
ensuring both the empat... | 2024-06-27T10:41:22Z | v02, 8 pages long paper, EMNLP ACL style | null | null | null | null | null | null | null | null | null |
2,406.19146 | Resolving Discrepancies in Compute-Optimal Scaling of Language Models | ['Tomer Porian', 'Mitchell Wortsman', 'Jenia Jitsev', 'Ludwig Schmidt', 'Yair Carmon'] | ['cs.LG', 'cs.CL'] | Kaplan et al. and Hoffmann et al. developed influential scaling laws for the
optimal model size as a function of the compute budget, but these laws yield
substantially different predictions. We explain the discrepancy by reproducing
the Kaplan scaling law on two datasets (OpenWebText2 and RefinedWeb) and
identifying th... | 2024-06-27T13:02:43Z | Spotlight at NeurIPS 2024 | null | null | Resolving Discrepancies in Compute-Optimal Scaling of Language Models | ['Tomer Porian', 'Mitchell Wortsman', 'J. Jitsev', 'Ludwig Schmidt', 'Y. Carmon'] | 2,024 | Neural Information Processing Systems | 26 | 62 | ['Computer Science'] |
2,406.1928 | HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into
Multimodal LLMs at Scale | ['Junying Chen', 'Chi Gui', 'Ruyi Ouyang', 'Anningzhe Gao', 'Shunian Chen', 'Guiming Hardy Chen', 'Xidong Wang', 'Ruifei Zhang', 'Zhenyang Cai', 'Ke Ji', 'Guangjun Yu', 'Xiang Wan', 'Benyou Wang'] | ['cs.CV', 'cs.AI', 'cs.CL', 'cs.LG'] | The rapid development of multimodal large language models (MLLMs), such as
GPT-4V, has led to significant advancements. However, these models still face
challenges in medical multimodal capabilities due to limitations in the
quantity and quality of medical vision-text data, stemming from data privacy
concerns and high ... | 2024-06-27T15:50:41Z | null | null | null | null | null | null | null | null | null | null |
2,406.1932 | Efficient World Models with Context-Aware Tokenization | ['Vincent Micheli', 'Eloi Alonso', 'François Fleuret'] | ['cs.LG', 'cs.AI', 'cs.CV'] | Scaling up deep Reinforcement Learning (RL) methods presents a significant
challenge. Following developments in generative modelling, model-based RL
positions itself as a strong contender. Recent advances in sequence modelling
have led to effective transformer-based world models, albeit at the price of
heavy computatio... | 2024-06-27T16:54:12Z | ICML 2024 | null | null | Efficient World Models with Context-Aware Tokenization | ['Vincent Micheli', 'Eloi Alonso', 'Franccois Fleuret'] | 2,024 | International Conference on Machine Learning | 6 | 50 | ['Computer Science'] |
2,406.19349 | IndoToxic2024: A Demographically-Enriched Dataset of Hate Speech and
Toxicity Types for Indonesian Language | ['Lucky Susanto', 'Musa Izzanardi Wijanarko', 'Prasetia Anugrah Pratama', 'Traci Hong', 'Ika Idris', 'Alham Fikri Aji', 'Derry Wijaya'] | ['cs.CL', 'cs.AI'] | Hate speech poses a significant threat to social harmony. Over the past two
years, Indonesia has seen a ten-fold increase in the online hate speech ratio,
underscoring the urgent need for effective detection mechanisms. However,
progress is hindered by the limited availability of labeled data for Indonesian
texts. The ... | 2024-06-27T17:26:38Z | This work has been substantially expanded and finalized as
IndoDiscourse (see [https://huggingface.co/datasets/Exqrch/IndoDiscourse]).
IndoToxic should be considered a draft/precursor version and is no longer
maintained | null | null | null | null | null | null | null | null | null |
2,406.19363 | Tradition or Innovation: A Comparison of Modern ASR Methods for Forced
Alignment | ['Rotem Rousso', 'Eyal Cohen', 'Joseph Keshet', 'Eleanor Chodroff'] | ['eess.AS'] | Forced alignment (FA) plays a key role in speech research through the
automatic time alignment of speech signals with corresponding text
transcriptions. Despite the move towards end-to-end architectures for speech
technology, FA is still dominantly achieved through a classic GMM-HMM acoustic
model. This work directly c... | 2024-06-27T17:45:34Z | null | Interspeech 2024 | null | Tradition or Innovation: A Comparison of Modern ASR Methods for Forced Alignment | ['Rotem Rousso', 'Eyal Cohen', 'Joseph Keshet', 'Eleanor Chodroff'] | 2,024 | Interspeech | 4 | 41 | ['Computer Science', 'Engineering'] |
2,406.19371 | Suri: Multi-constraint Instruction Following for Long-form Text
Generation | ['Chau Minh Pham', 'Simeng Sun', 'Mohit Iyyer'] | ['cs.CL'] | Existing research on instruction following largely focuses on tasks with
simple instructions and short responses. In this work, we explore
multi-constraint instruction following for generating long-form text. We create
Suri, a dataset with 20K human-written long-form texts paired with
LLM-generated backtranslated instr... | 2024-06-27T17:50:35Z | Accepted to EMNLP'24 (Findings) | null | null | null | null | null | null | null | null | null |
2,406.19482 | xTower: A Multilingual LLM for Explaining and Correcting Translation
Errors | ['Marcos Treviso', 'Nuno M. Guerreiro', 'Sweta Agrawal', 'Ricardo Rei', 'José Pombal', 'Tania Vaz', 'Helena Wu', 'Beatriz Silva', 'Daan van Stigt', 'André F. T. Martins'] | ['cs.CL'] | While machine translation (MT) systems are achieving increasingly strong
performance on benchmarks, they often produce translations with errors and
anomalies. Understanding these errors can potentially help improve the
translation quality and user experience. This paper introduces xTower, an open
large language model (... | 2024-06-27T18:51:46Z | null | null | null | null | null | null | null | null | null | null |
2,406.19674 | Less is More: Accurate Speech Recognition & Translation without
Web-Scale Data | ['Krishna C. Puvvada', 'Piotr Żelasko', 'He Huang', 'Oleksii Hrinchuk', 'Nithin Rao Koluguri', 'Kunal Dhawan', 'Somshubra Majumdar', 'Elena Rastorgueva', 'Zhehuai Chen', 'Vitaly Lavrukhin', 'Jagadeesh Balam', 'Boris Ginsburg'] | ['cs.CL', 'cs.LG', 'cs.SD', 'eess.AS'] | Recent advances in speech recognition and translation rely on hundreds of
thousands of hours of Internet speech data. We argue that state-of-the art
accuracy can be reached without relying on web-scale data. Canary -
multilingual ASR and speech translation model, outperforms current
state-of-the-art models - Whisper, O... | 2024-06-28T06:22:23Z | Accepted at Interspeech-2024 | null | null | null | null | null | null | null | null | null |
2,406.19803 | Scalable and Domain-General Abstractive Proposition Segmentation | ['Mohammad Javad Hosseini', 'Yang Gao', 'Tim Baumgärtner', 'Alex Fabrikant', 'Reinald Kim Amplayo'] | ['cs.CL'] | Segmenting text into fine-grained units of meaning is important to a wide
range of NLP applications. The default approach of segmenting text into
sentences is often insufficient, especially since sentences are usually complex
enough to include multiple units of meaning that merit separate treatment in
the downstream ta... | 2024-06-28T10:24:31Z | null | null | null | Scalable and Domain-General Abstractive Proposition Segmentation | ['Mohammad Javad Hosseini', 'Yang Gao', 'Tim Baumgärtner', 'Alex Fabrikant', 'Reinald Kim Amplayo'] | 2,024 | Conference on Empirical Methods in Natural Language Processing | 0 | 35 | ['Computer Science'] |
2,406.19853 | YuLan: An Open-source Large Language Model | ['Yutao Zhu', 'Kun Zhou', 'Kelong Mao', 'Wentong Chen', 'Yiding Sun', 'Zhipeng Chen', 'Qian Cao', 'Yihan Wu', 'Yushuo Chen', 'Feng Wang', 'Lei Zhang', 'Junyi Li', 'Xiaolei Wang', 'Lei Wang', 'Beichen Zhang', 'Zican Dong', 'Xiaoxue Cheng', 'Yuhan Chen', 'Xinyu Tang', 'Yupeng Hou', 'Qiangqiang Ren', 'Xincheng Pang', 'Shu... | ['cs.CL', 'cs.AI'] | Large language models (LLMs) have become the foundation of many applications,
leveraging their extensive capabilities in processing and understanding natural
language. While many open-source LLMs have been released with technical
reports, the lack of training details hinders further research and development.
This paper... | 2024-06-28T11:52:53Z | null | null | null | null | null | null | null | null | null | null |
2,406.19888 | Fine-tuning of Geospatial Foundation Models for Aboveground Biomass
Estimation | ['Michal Muszynski', 'Levente Klein', 'Ademir Ferreira da Silva', 'Anjani Prasad Atluri', 'Carlos Gomes', 'Daniela Szwarcman', 'Gurkanwar Singh', 'Kewen Gu', 'Maciel Zortea', 'Naomi Simumba', 'Paolo Fraccaro', 'Shraddha Singh', 'Steve Meliksetian', 'Campbell Watson', 'Daiki Kimura', 'Harini Srinivasan'] | ['cs.AI'] | Global vegetation structure mapping is critical for understanding the global
carbon cycle and maximizing the efficacy of nature-based carbon sequestration
initiatives. Moreover, vegetation structure mapping can help reduce the impacts
of climate change by, for example, guiding actions to improve water security,
increas... | 2024-06-28T12:54:10Z | null | null | null | Fine-tuning of Geospatial Foundation Models for Aboveground Biomass Estimation | ['Michal Muszynski', 'Levente J. Klein', 'Ademir Ferreira da Silva', 'A. Atluri', 'Carlos Gomes', 'Daniela Szwarcman', 'Gurkanwar Singh', 'Kewen Gu', 'M. Zortea', 'Naomi Simumba', 'P. Fraccaro', 'Shraddha Singh', 'Steve Meliksetian', 'Campbell Watson', 'Daiki Kimura', 'Harini Srinivasan'] | 2,024 | arXiv.org | 4 | 33 | ['Computer Science'] |
2,406.19892 | Automatic register identification for the open web using multilingual
deep learning | ['Erik Henriksson', 'Amanda Myntti', 'Saara Hellström', 'Anni Eskelinen', 'Selcen Erten-Johansson', 'Veronika Laippala'] | ['cs.CL'] | This article investigates how well deep learning models can identify web
registers -- text varieties such as news reports and discussion forums --
across 16 languages. We introduce the Multilingual CORE corpora, which contain
72,504 documents annotated with a hierarchical taxonomy of 25 registers
designed to cover the ... | 2024-06-28T13:00:30Z | null | null | null | null | null | null | null | null | null | null |
2,406.19949 | Calibrating LLMs with Preference Optimization on Thought Trees for
Generating Rationale in Science Question Scoring | ['Jiazheng Li', 'Hainiu Xu', 'Zhaoyue Sun', 'Yuxiang Zhou', 'David West', 'Cesare Aloisi', 'Yulan He'] | ['cs.CL'] | Generating rationales that justify scoring decisions has been a promising way
to facilitate explainability in automated scoring systems. However, existing
methods do not match the accuracy of classifier-based methods. Plus, the
generated rationales often contain hallucinated information. To address these
issues, we pro... | 2024-06-28T14:33:05Z | Accepted at EMNLP 2024 | null | null | Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoring | ['Jiazheng Li', 'Hainiu Xu', 'ZHAOYUE SUN', 'Yuxiang Zhou', 'David West', 'Cesare Aloisi', 'Yulan He'] | 2,024 | Conference on Empirical Methods in Natural Language Processing | 4 | 54 | ['Computer Science'] |
2,406.20076 | EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything
Model | ['Yuxuan Zhang', 'Tianheng Cheng', 'Lianghui Zhu', 'Rui Hu', 'Lei Liu', 'Heng Liu', 'Longjin Ran', 'Xiaoxin Chen', 'Wenyu Liu', 'Xinggang Wang'] | ['cs.CV'] | Segment Anything Model (SAM) has attracted widespread attention for its
superior interactive segmentation capabilities with visual prompts while
lacking further exploration of text prompts. In this paper, we empirically
investigate what text prompt encoders (e.g., CLIP or LLM) are good for adapting
SAM for referring ex... | 2024-06-28T17:38:18Z | Preprint. Update: (1) better performance and (2) versatile
segmentation. Code and models are available at:
https://github.com/hustvl/EVF-SAM | null | null | null | null | null | null | null | null | null |
2,406.20086 | Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs | ['Sheridan Feucht', 'David Atkinson', 'Byron Wallace', 'David Bau'] | ['cs.CL', 'cs.LG', 'I.2.7'] | LLMs process text as sequences of tokens that roughly correspond to words,
where less common words are represented by multiple tokens. However, individual
tokens are often semantically unrelated to the meanings of the words/concepts
they comprise. For example, Llama-2-7b's tokenizer splits the word
"northeastern" into ... | 2024-06-28T17:54:47Z | 13 pages, 14 figures. Code and data at
https://footprints.baulab.info/ | null | null | null | null | null | null | null | null | null |
2,406.20087 | ProgressGym: Alignment with a Millennium of Moral Progress | ['Tianyi Qiu', 'Yang Zhang', 'Xuchuan Huang', 'Jasmine Xinze Li', 'Jiaming Ji', 'Yaodong Yang'] | ['cs.LG', 'cs.AI', 'cs.CL', 'cs.CY', 'cs.HC'] | Frontier AI systems, including large language models (LLMs), hold increasing
influence over the epistemology of human users. Such influence can reinforce
prevailing societal values, potentially contributing to the lock-in of
misguided moral beliefs and, consequently, the perpetuation of problematic
moral practices on a... | 2024-06-28T17:55:24Z | NeurIPS 2024 Track on Datasets and Benchmarks (Spotlight) | null | null | null | null | null | null | null | null | null |
2,406.20094 | Scaling Synthetic Data Creation with 1,000,000,000 Personas | ['Tao Ge', 'Xin Chan', 'Xiaoyang Wang', 'Dian Yu', 'Haitao Mi', 'Dong Yu'] | ['cs.CL', 'cs.LG'] | We propose a novel persona-driven data synthesis methodology that leverages
various perspectives within a large language model (LLM) to create diverse
synthetic data. To fully exploit this methodology at scale, we introduce
Persona Hub -- a collection of 1 billion diverse personas automatically curated
from web data. T... | 2024-06-28T17:59:01Z | Work in progress | null | null | Scaling Synthetic Data Creation with 1,000,000,000 Personas | ['Xin Chan', 'Xiaoyang Wang', 'Dian Yu', 'Haitao Mi', 'Dong Yu'] | 2,024 | arXiv.org | 150 | 44 | ['Computer Science'] |
2,406.20095 | LLaRA: Supercharging Robot Learning Data for Vision-Language Policy | ['Xiang Li', 'Cristina Mata', 'Jongwoo Park', 'Kumara Kahatapitiya', 'Yoo Sung Jang', 'Jinghuan Shang', 'Kanchana Ranasinghe', 'Ryan Burgert', 'Mu Cai', 'Yong Jae Lee', 'Michael S. Ryoo'] | ['cs.RO', 'cs.AI', 'cs.CL', 'cs.CV', 'cs.LG'] | Vision Language Models (VLMs) have recently been leveraged to generate
robotic actions, forming Vision-Language-Action (VLA) models. However, directly
adapting a pretrained VLM for robotic control remains challenging, particularly
when constrained by a limited number of robot demonstrations. In this work, we
introduce ... | 2024-06-28T17:59:12Z | ICLR 2025 | null | null | null | null | null | null | null | null | null |
2,406.20098 | Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework
for Multimodal LLMs | ['Sukmin Yun', 'Haokun Lin', 'Rusiru Thushara', 'Mohammad Qazim Bhat', 'Yongxin Wang', 'Zutao Jiang', 'Mingkai Deng', 'Jinhong Wang', 'Tianhua Tao', 'Junbo Li', 'Haonan Li', 'Preslav Nakov', 'Timothy Baldwin', 'Zhengzhong Liu', 'Eric P. Xing', 'Xiaodan Liang', 'Zhiqiang Shen'] | ['cs.CV', 'cs.AI', 'cs.CL'] | Multimodal large language models (MLLMs) have shown impressive success across
modalities such as image, video, and audio in a variety of understanding and
generation tasks. However, current MLLMs are surprisingly poor at understanding
webpage screenshots and generating their corresponding HTML code. To address
this pro... | 2024-06-28T17:59:46Z | NeurIPS 2024 Datasets and Benchmarks Camera-ready Version. Website at
https://mbzuai-llm.github.io/webpage2code/ | null | null | Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs | ['Sukmin Yun', 'Haokun Lin', 'Rusiru Thushara', 'Mohammad Qazim Bhat', 'Yongxin Wang', 'Zutao Jiang', 'Mingkai Deng', 'Jinhong Wang', 'Tianhua Tao', 'Junbo Li', 'Haonan Li', 'Preslav Nakov', 'Timothy Baldwin', 'Zhengzhong Liu', 'Eric P. Xing', 'Xiaodan Liang', 'Zhiqiang Shen'] | 2,024 | Neural Information Processing Systems | 14 | 62 | ['Computer Science'] |
2,407.00066 | Compress then Serve: Serving Thousands of LoRA Adapters with Little
Overhead | ['Rickard Brüel-Gabrielsson', 'Jiacheng Zhu', 'Onkar Bhardwaj', 'Leshem Choshen', 'Kristjan Greenewald', 'Mikhail Yurochkin', 'Justin Solomon'] | ['cs.DC', 'cs.AI', 'cs.CL', 'cs.LG'] | Fine-tuning large language models (LLMs) with low-rank adaptations (LoRAs)
has become common practice, often yielding numerous copies of the same LLM
differing only in their LoRA updates. This paradigm presents challenges for
systems that serve real-time responses to queries that each involve a different
LoRA. Prior wo... | 2024-06-17T15:21:35Z | null | null | null | Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead | ['Rickard Brüel Gabrielsson', 'Jiacheng Zhu', 'Onkar Bhardwaj', 'Leshem Choshen', 'K. Greenewald', 'M. Yurochkin', 'Justin Solomon'] | 2,024 | arXiv.org | 9 | 44 | ['Computer Science'] |
2,407.00114 | OmniJARVIS: Unified Vision-Language-Action Tokenization Enables
Open-World Instruction Following Agents | ['Zihao Wang', 'Shaofei Cai', 'Zhancun Mu', 'Haowei Lin', 'Ceyao Zhang', 'Xuejie Liu', 'Qing Li', 'Anji Liu', 'Xiaojian Ma', 'Yitao Liang'] | ['cs.LG', 'cs.AI', 'cs.CL'] | This paper presents OmniJARVIS, a novel Vision-Language-Action (VLA) model
for open-world instruction-following agents in Minecraft. Compared to prior
works that either emit textual goals to separate controllers or produce the
control command directly, OmniJARVIS seeks a different path to ensure both
strong reasoning a... | 2024-06-27T13:46:11Z | accepted on NeurIPS 2024 | null | null | null | null | null | null | null | null | null |
2,407.00121 | Granite-Function Calling Model: Introducing Function Calling Abilities
via Multi-task Learning of Granular Tasks | ['Ibrahim Abdelaziz', 'Kinjal Basu', 'Mayank Agarwal', 'Sadhana Kumaravel', 'Matthew Stallone', 'Rameswar Panda', 'Yara Rizk', 'GP Bhargav', 'Maxwell Crouse', 'Chulaka Gunasekara', 'Shajith Ikbal', 'Sachin Joshi', 'Hima Karanam', 'Vineet Kumar', 'Asim Munawar', 'Sumit Neelam', 'Dinesh Raghu', 'Udit Sharma', 'Adriana Me... | ['cs.LG', 'cs.AI', 'cs.CL'] | Large language models (LLMs) have recently shown tremendous promise in
serving as the backbone to agentic systems, as demonstrated by their
performance in multi-faceted, challenging benchmarks like SWE-Bench and
Agent-Bench. However, to realize the true potential of LLMs as autonomous
agents, they must learn to identif... | 2024-06-27T17:47:26Z | null | null | null | Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks | ['Ibrahim Abdelaziz', 'Kinjal Basu', 'Mayank Agarwal', 'Sadhana Kumaravel', 'Matt Stallone', 'Rameswar Panda', 'Yara Rizk', 'G. Bhargav', 'M. Crouse', 'Chulaka Gunasekara', 'S. Ikbal', 'Sachin Joshi', 'Hima P. Karanam', 'Vineet Kumar', 'Asim Munawar', 'S. Neelam', 'Dinesh Raghu', 'Udit Sharma', 'Adriana Meza Soria', 'D... | 2,024 | Conference on Empirical Methods in Natural Language Processing | 24 | 49 | ['Computer Science'] |
2,407.00203 | PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through
Multi-agent Collaboration | ['Yuxuan Sun', 'Yunlong Zhang', 'Yixuan Si', 'Chenglu Zhu', 'Zhongyi Shui', 'Kai Zhang', 'Jingxiong Li', 'Xingheng Lyu', 'Tao Lin', 'Lin Yang'] | ['cs.CV'] | Vision Language Models (VLMs) like CLIP have attracted substantial attention
in pathology, serving as backbones for applications such as zero-shot image
classification and Whole Slide Image (WSI) analysis. Additionally, they can
function as vision encoders when combined with large language models (LLMs) to
support broa... | 2024-06-28T19:18:09Z | 13 pages, 3 figures | null | null | PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration | ['Yuxuan Sun', 'Yunlong Zhang', 'Yixuan Si', 'Chenglu Zhu', 'Zhongyi Shui', 'Kai Zhang', 'Jingxiong Li', 'Xingheng Lyu', 'Tao Lin', 'Lin Yang'] | 2,024 | arXiv.org | 12 | 52 | ['Computer Science'] |
2,407.00365 | Financial Knowledge Large Language Model | ['Cehao Yang', 'Chengjin Xu', 'Yiyan Qi'] | ['cs.CL'] | Artificial intelligence is making significant strides in the finance
industry, revolutionizing how data is processed and interpreted. Among these
technologies, large language models (LLMs) have demonstrated substantial
potential to transform financial services by automating complex tasks,
enhancing customer service, an... | 2024-06-29T08:26:49Z | 66 pages | null | null | null | null | null | null | null | null | null |
2,407.00463 | Open-Source Conversational AI with SpeechBrain 1.0 | ['Mirco Ravanelli', 'Titouan Parcollet', 'Adel Moumen', 'Sylvain de Langen', 'Cem Subakan', 'Peter Plantinga', 'Yingzhi Wang', 'Pooneh Mousavi', 'Luca Della Libera', 'Artem Ploujnikov', 'Francesco Paissan', 'Davide Borra', 'Salah Zaiem', 'Zeyu Zhao', 'Shucong Zhang', 'Georgios Karakasidis', 'Sung-Lin Yeh', 'Pierre Cham... | ['cs.LG', 'cs.AI', 'cs.CL', 'cs.HC', 'eess.AS'] | SpeechBrain is an open-source Conversational AI toolkit based on PyTorch,
focused particularly on speech processing tasks such as speech recognition,
speech enhancement, speaker recognition, text-to-speech, and much more. It
promotes transparency and replicability by releasing both the pre-trained
models and the comple... | 2024-06-29T15:20:11Z | Accepted to the Journal of Machine Learning research (JMLR), Machine
Learning Open Source Software | null | null | null | null | null | null | null | null | null |
2,407.00634 | Tarsier: Recipes for Training and Evaluating Large Video Description
Models | ['Jiawei Wang', 'Liping Yuan', 'Yuchen Zhang', 'Haomiao Sun'] | ['cs.CV', 'cs.LG'] | Generating fine-grained video descriptions is a fundamental challenge in
video understanding. In this work, we introduce Tarsier, a family of
large-scale video-language models designed to generate high-quality video
descriptions. Tarsier employs CLIP-ViT to encode frames separately and then
uses an LLM to model tempora... | 2024-06-30T09:21:01Z | null | null | null | null | null | null | null | null | null | null |
2,407.00648 | LegalTurk Optimized BERT for Multi-Label Text Classification and NER | ['Farnaz Zeidi', 'Mehmet Fatih Amasyali', 'Çiğdem Erol'] | ['cs.CL'] | The introduction of the Transformer neural network, along with techniques
like self-supervised pre-training and transfer learning, has paved the way for
advanced models like BERT. Despite BERT's impressive performance, opportunities
for further enhancement exist. To our knowledge, most efforts are focusing on
improving... | 2024-06-30T10:19:54Z | null | null | null | LegalTurk Optimized BERT for Multi-Label Text Classification and NER | ['Farnaz Zeidi', 'M. Amasyalı', 'cCiugdem Erol'] | 2,024 | arXiv.org | 2 | 35 | ['Computer Science'] |
2,407.00818 | Image Classification for Snow Detection to Improve Pedestrian Safety | ['Ricardo de Deijn', 'Rajeev Bukralia'] | ['cs.CV'] | This study presents a computer vision approach aimed at detecting snow on
sidewalks and pavements to reduce winter-related fall injuries, especially
among elderly and visually impaired individuals. Leveraging fine-tuned VGG-19
and ResNet50 convolutional neural networks (CNNs), the research focuses on
identifying snow p... | 2024-06-30T20:16:46Z | 5 pages 1 figure 1 table Included in MWAIS - 2024 Conference
Proceedings Chair: Jacob Young | MWAIS 2024 Proceedings. 15. https://aisel.aisnet.org/mwais2024/15 | null | null | null | null | null | null | null | null |
2,407.00837 | Towards Robust Speech Representation Learning for Thousands of Languages | ['William Chen', 'Wangyou Zhang', 'Yifan Peng', 'Xinjian Li', 'Jinchuan Tian', 'Jiatong Shi', 'Xuankai Chang', 'Soumi Maiti', 'Karen Livescu', 'Shinji Watanabe'] | ['cs.CL', 'cs.AI', 'cs.SD', 'eess.AS'] | Self-supervised learning (SSL) has helped extend speech technologies to more
languages by reducing the need for labeled data. However, models are still far
from supporting the world's 7000+ languages. We propose XEUS, a Cross-lingual
Encoder for Universal Speech, trained on over 1 million hours of data across
4057 lang... | 2024-06-30T21:40:26Z | Updated affiliations; 20 pages | null | null | null | null | null | null | null | null | null |
2,407.01094 | Evaluation of Text-to-Video Generation Models: A Dynamics Perspective | ['Mingxiang Liao', 'Hannan Lu', 'Xinyu Zhang', 'Fang Wan', 'Tianyu Wang', 'Yuzhong Zhao', 'Wangmeng Zuo', 'Qixiang Ye', 'Jingdong Wang'] | ['cs.CV'] | Comprehensive and constructive evaluation protocols play an important role in
the development of sophisticated text-to-video (T2V) generation models.
Existing evaluation protocols primarily focus on temporal consistency and
content continuity, yet largely ignore the dynamics of video content. Dynamics
are an essential ... | 2024-07-01T08:51:22Z | null | null | null | null | null | null | null | null | null | null |
2,407.01272 | Show Less, Instruct More: Enriching Prompts with Definitions and
Guidelines for Zero-Shot NER | ['Andrew Zamai', 'Andrea Zugarini', 'Leonardo Rigutini', 'Marco Ernandes', 'Marco Maggini'] | ['cs.CL'] | Recently, several specialized instruction-tuned Large Language Models (LLMs)
for Named Entity Recognition (NER) have emerged. Compared to traditional NER
approaches, these models have demonstrated strong generalization capabilities.
Existing LLMs primarily focus on addressing zero-shot NER on Out-of-Domain
inputs, whil... | 2024-07-01T13:25:33Z | null | null | null | null | null | null | null | null | null | null |
2,407.01376 | Badllama 3: removing safety finetuning from Llama 3 in minutes | ['Dmitrii Volkov'] | ['cs.LG', 'cs.AI', 'cs.CL', 'cs.CR'] | We show that extensive LLM safety fine-tuning is easily subverted when an
attacker has access to model weights. We evaluate three state-of-the-art
fine-tuning methods-QLoRA, ReFT, and Ortho-and show how algorithmic advances
enable constant jailbreaking performance with cuts in FLOPs and optimisation
power. We strip saf... | 2024-07-01T15:29:45Z | null | null | null | null | null | null | null | null | null | null |
2,407.01392 | Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion | ['Boyuan Chen', 'Diego Marti Monso', 'Yilun Du', 'Max Simchowitz', 'Russ Tedrake', 'Vincent Sitzmann'] | ['cs.LG', 'cs.CV', 'cs.RO'] | This paper presents Diffusion Forcing, a new training paradigm where a
diffusion model is trained to denoise a set of tokens with independent
per-token noise levels. We apply Diffusion Forcing to sequence generative
modeling by training a causal next-token prediction model to generate one or
several future tokens witho... | 2024-07-01T15:43:25Z | Project website: https://boyuan.space/diffusion-forcing | null | null | null | null | null | null | null | null | null |
2,407.01414 | StyleShot: A Snapshot on Any Style | ['Junyao Gao', 'Yanchen Liu', 'Yanan Sun', 'Yinhao Tang', 'Yanhong Zeng', 'Kai Chen', 'Cairong Zhao'] | ['cs.CV'] | In this paper, we show that, a good style representation is crucial and
sufficient for generalized style transfer without test-time tuning. We achieve
this through constructing a style-aware encoder and a well-organized style
dataset called StyleGallery. With dedicated design for style learning, this
style-aware encode... | 2024-07-01T16:05:18Z | project page:https://styleshot.github.io/ | null | null | null | null | null | null | null | null | null |
2,407.01449 | ColPali: Efficient Document Retrieval with Vision Language Models | ['Manuel Faysse', 'Hugues Sibille', 'Tony Wu', 'Bilel Omrani', 'Gautier Viaud', 'Céline Hudelot', 'Pierre Colombo'] | ['cs.IR', 'cs.CL', 'cs.CV'] | Documents are visually rich structures that convey information through text,
but also figures, page layouts, tables, or even fonts. Since modern retrieval
systems mainly rely on the textual information they extract from document pages
to index documents -often through lengthy and brittle processes-, they struggle
to ex... | 2024-06-27T15:45:29Z | Published as a conference paper at ICLR 2025 | null | null | ColPali: Efficient Document Retrieval with Vision Language Models | ['Manuel Faysse', 'Hugues Sibille', 'Tony Wu', 'Bilel Omrani', 'Gautier Viaud', "C'eline Hudelot", 'Pierre Colombo'] | 2,024 | International Conference on Learning Representations | 29 | 75 | ['Computer Science'] |
2,407.0147 | DogeRM: Equipping Reward Models with Domain Knowledge through Model
Merging | ['Tzu-Han Lin', 'Chen-An Li', 'Hung-yi Lee', 'Yun-Nung Chen'] | ['cs.CL'] | Reinforcement learning from human feedback (RLHF) is a popular strategy for
aligning large language models (LLMs) with desired behaviors. Reward modeling
is a crucial step in RLHF. However, collecting paired preference data for
training reward models is often costly and time-consuming, especially for
domain-specific pr... | 2024-07-01T17:01:54Z | In the 2024 Conference on Empirical Methods in Natural Language
Processing (EMNLP 2024). The code for our work is available at:
https://github.com/MiuLab/DogeRM | null | null | null | null | null | null | null | null | null |
2,407.01492 | RegMix: Data Mixture as Regression for Language Model Pre-training | ['Qian Liu', 'Xiaosen Zheng', 'Niklas Muennighoff', 'Guangtao Zeng', 'Longxu Dou', 'Tianyu Pang', 'Jing Jiang', 'Min Lin'] | ['cs.CL', 'cs.AI'] | The data mixture for large language model pre-training significantly impacts
performance, yet how to determine an effective mixture remains unclear. We
propose RegMix to automatically identify a high-performing data mixture by
formulating it as a regression task. RegMix trains many small models on diverse
data mixtures... | 2024-07-01T17:31:03Z | ICLR 2025 | null | null | null | null | null | null | null | null | null |
2,407.01509 | MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal
LLMs | ['Yusu Qian', 'Hanrong Ye', 'Jean-Philippe Fauconnier', 'Peter Grasch', 'Yinfei Yang', 'Zhe Gan'] | ['cs.CV', 'cs.CL'] | We introduce MIA-Bench, a new benchmark designed to evaluate multimodal large
language models (MLLMs) on their ability to strictly adhere to complex
instructions. Our benchmark comprises a diverse set of 400 image-prompt pairs,
each crafted to challenge the models' compliance with layered instructions in
generating acc... | 2024-07-01T17:53:35Z | Accepted at ICLR 2025 | null | null | MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs | ['Yusu Qian', 'Hanrong Ye', 'J. Fauconnier', 'Peter Grasch', 'Yinfei Yang', 'Zhe Gan'] | 2,024 | International Conference on Learning Representations | 18 | 66 | ['Computer Science'] |
2,407.01702 | SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving | ['Qingwen Zhang', 'Yi Yang', 'Peizheng Li', 'Olov Andersson', 'Patric Jensfelt'] | ['cs.CV', 'cs.RO'] | Scene flow estimation predicts the 3D motion at each point in successive
LiDAR scans. This detailed, point-level, information can help autonomous
vehicles to accurately predict and understand dynamic changes in their
surroundings. Current state-of-the-art methods require annotated data to train
scene flow networks and ... | 2024-07-01T18:22:54Z | 25 pages (14 main pages + 11 supp materail), 5 figures, ECCV 2024 | null | null | SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving | ['Qingwen Zhang', 'Yi Yang', 'Peizheng Li', 'Olov Andersson', 'P. Jensfelt'] | 2,024 | European Conference on Computer Vision | 16 | 38 | ['Computer Science'] |
2,407.01906 | Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for
Sparse Architectural Large Language Models | ['Zihan Wang', 'Deli Chen', 'Damai Dai', 'Runxin Xu', 'Zhuoshu Li', 'Y. Wu'] | ['cs.CL', 'cs.AI', 'cs.LG'] | Parameter-efficient fine-tuning (PEFT) is crucial for customizing Large
Language Models (LLMs) with constrained resources. Although there have been
various PEFT methods for dense-architecture LLMs, PEFT for sparse-architecture
LLMs is still underexplored. In this work, we study the PEFT method for LLMs
with the Mixture... | 2024-07-02T03:11:13Z | null | null | null | Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models | ['Zihan Wang', 'Deli Chen', 'Damai Dai', 'R. Xu', 'Zhuoshu Li', 'Y. Wu', 'AI DeepSeek'] | 2,024 | Conference on Empirical Methods in Natural Language Processing | 3 | 46 | ['Computer Science'] |
2,407.01964 | Enabling Discriminative Reasoning in LLMs for Legal Judgment Prediction | ['Chenlong Deng', 'Kelong Mao', 'Yuyao Zhang', 'Zhicheng Dou'] | ['cs.CL'] | Legal judgment prediction is essential for enhancing judicial efficiency. In
this work, we identify that existing large language models (LLMs) underperform
in this domain due to challenges in understanding case complexities and
distinguishing between similar charges. To adapt LLMs for effective legal
judgment predictio... | 2024-07-02T05:43:15Z | repo: https://github.com/ChenlongDeng/ADAPT | null | null | Enabling Discriminative Reasoning in LLMs for Legal Judgment Prediction | ['Chenlong Deng', 'Kelong Mao', 'Yuyao Zhang', 'Zhicheng Dou'] | 2,024 | Conference on Empirical Methods in Natural Language Processing | 4 | 39 | ['Computer Science'] |
2,407.02158 | UltraPixel: Advancing Ultra-High-Resolution Image Synthesis to New Peaks | ['Jingjing Ren', 'Wenbo Li', 'Haoyu Chen', 'Renjing Pei', 'Bin Shao', 'Yong Guo', 'Long Peng', 'Fenglong Song', 'Lei Zhu'] | ['cs.CV'] | Ultra-high-resolution image generation poses great challenges, such as
increased semantic planning complexity and detail synthesis difficulties,
alongside substantial training resource demands. We present UltraPixel, a novel
architecture utilizing cascade diffusion models to generate high-quality images
at multiple res... | 2024-07-02T11:02:19Z | Project page https://jingjingrenabc.github.io/ultrapixel | null | null | null | null | null | null | null | null | null |
2,407.02277 | MelodyT5: A Unified Score-to-Score Transformer for Symbolic Music
Processing | ['Shangda Wu', 'Yashan Wang', 'Xiaobing Li', 'Feng Yu', 'Maosong Sun'] | ['cs.SD', 'eess.AS'] | In the domain of symbolic music research, the progress of developing scalable
systems has been notably hindered by the scarcity of available training data
and the demand for models tailored to specific tasks. To address these issues,
we propose MelodyT5, a novel unified framework that leverages an
encoder-decoder archi... | 2024-07-02T14:06:31Z | 9 pages, 2 figures, 3 tables, accepted by ISMIR 2024 | null | null | null | null | null | null | null | null | null |
2,407.02315 | VFIMamba: Video Frame Interpolation with State Space Models | ['Guozhen Zhang', 'Chunxu Liu', 'Yutao Cui', 'Xiaotong Zhao', 'Kai Ma', 'Limin Wang'] | ['cs.CV', 'cs.AI'] | Inter-frame modeling is pivotal in generating intermediate frames for video
frame interpolation (VFI). Current approaches predominantly rely on convolution
or attention-based models, which often either lack sufficient receptive fields
or entail significant computational overheads. Recently, Selective State Space
Models... | 2024-07-02T14:48:18Z | null | null | null | null | null | null | null | null | null | null |
2,407.02337 | Open foundation models for Azerbaijani language | ['Jafar Isbarov', 'Kavsar Huseynova', 'Elvin Mammadov', 'Mammad Hajili', 'Duygu Ataman'] | ['cs.CL'] | The emergence of multilingual large language models has enabled the
development of language understanding and generation systems in Azerbaijani.
However, most of the production-grade systems rely on cloud solutions, such as
GPT-4. While there have been several attempts to develop open foundation models
for Azerbaijani,... | 2024-07-02T15:05:47Z | Presented in the First Workshop on Natural Language Processing for
Turkic Languages | null | null | Open foundation models for Azerbaijani language | ['Jafar Isbarov', 'Kavsar Huseynova', 'Elvin Mammadov', 'Mammad Hajili'] | 2,024 | SIGTURK | 1 | 29 | ['Computer Science'] |
2,407.02371 | OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video
Generation | ['Kepan Nan', 'Rui Xie', 'Penghao Zhou', 'Tiehan Fan', 'Zhenheng Yang', 'Zhijie Chen', 'Xiang Li', 'Jian Yang', 'Ying Tai'] | ['cs.CV'] | Text-to-video (T2V) generation has recently garnered significant attention
thanks to the large multi-modality model Sora. However, T2V generation still
faces two important challenges: 1) Lacking a precise open sourced high-quality
dataset. The previous popular video datasets, e.g. WebVid-10M and Panda-70M,
are either w... | 2024-07-02T15:40:29Z | 20 pages, 15 figures, Published as a conference paper at ICLR 2025 | null | null | OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation | ['Kepan Nan', 'Rui Xie', 'Penghao Zhou', 'Tiehan Fan', 'Zhenheng Yang', 'Zhijie Chen', 'Xiang Li', 'Jian Yang', 'Ying Tai'] | 2,024 | International Conference on Learning Representations | 93 | 35 | ['Computer Science'] |
2,407.02397 | Learning to Refine with Fine-Grained Natural Language Feedback | ['Manya Wadhwa', 'Xinyu Zhao', 'Junyi Jessy Li', 'Greg Durrett'] | ['cs.CL'] | Recent work has explored the capability of large language models (LLMs) to
identify and correct errors in LLM-generated responses. These refinement
approaches frequently evaluate what sizes of models are able to do refinement
for what problems, but less attention is paid to what effective feedback for
refinement looks ... | 2024-07-02T16:15:01Z | Code and models available at: https://github.com/ManyaWadhwa/DCR;
Findings of EMNLP 2024 | null | null | null | null | null | null | null | null | null |
2,407.02552 | RLHF Can Speak Many Languages: Unlocking Multilingual Preference
Optimization for LLMs | ['John Dang', 'Arash Ahmadian', 'Kelly Marchisio', 'Julia Kreutzer', 'Ahmet Üstün', 'Sara Hooker'] | ['cs.CL', 'cs.AI', 'cs.LG'] | Preference optimization techniques have become a standard final stage for
training state-of-art large language models (LLMs). However, despite widespread
adoption, the vast majority of work to-date has focused on first-class citizen
languages like English and Chinese. This captures a small fraction of the
languages in ... | 2024-07-02T17:42:30Z | null | null | null | RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs | ['John Dang', 'Arash Ahmadian', 'Kelly Marchisio', 'Julia Kreutzer', 'A. Ustun', 'Sara Hooker'] | 2,024 | Conference on Empirical Methods in Natural Language Processing | 28 | 86 | ['Computer Science'] |
2,407.02783 | 52B to 1T: Lessons Learned via Tele-FLM Series | ['Xiang Li', 'Yiqun Yao', 'Xin Jiang', 'Xuezhi Fang', 'Chao Wang', 'Xinzhang Liu', 'Zihan Wang', 'Yu Zhao', 'Xin Wang', 'Yuyao Huang', 'Shuangyong Song', 'Yongxiang Li', 'Zheng Zhang', 'Bo Zhao', 'Aixin Sun', 'Yequan Wang', 'Zhongjiang He', 'Zhongyuan Wang', 'Xuelong Li', 'Tiejun Huang'] | ['cs.CL', 'cs.AI'] | Large Language Models (LLMs) represent a significant stride toward Artificial
General Intelligence. As scaling laws underscore the potential of increasing
model sizes, the academic community has intensified its investigations into
LLMs with capacities exceeding 50 billion parameters. This technical report
builds on our... | 2024-07-03T03:21:02Z | For the Tele-FLM-52B tech report, see also 2404.16645 | null | null | null | null | null | null | null | null | null |
2,407.02855 | From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending
Against Jailbreak Attacks | ['Zhexin Zhang', 'Junxiao Yang', 'Yida Lu', 'Pei Ke', 'Shiyao Cui', 'Chujie Zheng', 'Hongning Wang', 'Minlie Huang'] | ['cs.CR', 'cs.CL', 'cs.LG'] | Large Language Models (LLMs) are known to be vulnerable to jailbreak attacks.
An important observation is that, while different types of jailbreak attacks
can generate significantly different queries, they mostly result in similar
responses that are rooted in the same harmful knowledge (e.g., detailed steps
to make a b... | 2024-07-03T07:14:05Z | 19 pages | null | null | From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks | ['Zhexin Zhang', 'Junxiao Yang', 'Pei Ke', 'Shiyao Cui', 'Chujie Zheng', 'Hongning Wang', 'Minlie Huang'] | 2,024 | null | 22 | 32 | ['Computer Science'] |
2,407.02869 | PicoAudio: Enabling Precise Timestamp and Frequency Controllability of
Audio Events in Text-to-audio Generation | ['Zeyu Xie', 'Xuenan Xu', 'Zhizheng Wu', 'Mengyue Wu'] | ['cs.SD', 'eess.AS', '68Txx', 'I.2'] | Recently, audio generation tasks have attracted considerable research
interests. Precise temporal controllability is essential to integrate audio
generation with real applications. In this work, we propose a temporal
controlled audio generation framework, PicoAudio. PicoAudio integrates temporal
information to guide au... | 2024-07-03T07:33:14Z | null | null | null | PicoAudio: Enabling Precise Timestamp and Frequency Controllability of Audio Events in Text-to-audio Generation | ['Zeyu Xie', 'Xuenan Xu', 'Zhizheng Wu', 'Mengyue Wu'] | 2,024 | arXiv.org | 8 | 26 | ['Computer Science', 'Engineering'] |
2,407.0288 | Knowledge Composition using Task Vectors with Learned Anisotropic
Scaling | ['Frederic Z. Zhang', 'Paul Albert', 'Cristian Rodriguez-Opazo', 'Anton van den Hengel', 'Ehsan Abbasnejad'] | ['cs.LG', 'cs.AI', 'cs.CV'] | Pre-trained models produce strong generic representations that can be adapted
via fine-tuning. The learned weight difference relative to the pre-trained
model, known as a task vector, characterises the direction and stride of
fine-tuning. The significance of task vectors is such that simple arithmetic
operations on the... | 2024-07-03T07:54:08Z | Accepted to NeurIPS'24 | null | null | null | null | null | null | null | null | null |
2,407.0302 | Exploiting Dialect Identification in Automatic Dialectal Text
Normalization | ['Bashar Alhafni', 'Sarah Al-Towaity', 'Ziyad Fawzy', 'Fatema Nassar', 'Fadhl Eryani', 'Houda Bouamor', 'Nizar Habash'] | ['cs.CL'] | Dialectal Arabic is the primary spoken language used by native Arabic
speakers in daily communication. The rise of social media platforms has notably
expanded its use as a written language. However, Arabic dialects do not have
standard orthographies. This, combined with the inherent noise in
user-generated content on s... | 2024-07-03T11:30:03Z | Accepted to ArabicNLP 2024, ACL | null | 10.18653/v1/2024.arabicnlp-1.4 | null | null | null | null | null | null | null |
2,407.03103 | Cactus: Towards Psychological Counseling Conversations using Cognitive
Behavioral Theory | ['Suyeon Lee', 'Sunghwan Kim', 'Minju Kim', 'Dongjin Kang', 'Dongil Yang', 'Harim Kim', 'Minseok Kang', 'Dayi Jung', 'Min Hee Kim', 'Seungbeen Lee', 'Kyoung-Mee Chung', 'Youngjae Yu', 'Dongha Lee', 'Jinyoung Yeo'] | ['cs.CL'] | Recently, the demand for psychological counseling has significantly increased
as more individuals express concerns about their mental health. This surge has
accelerated efforts to improve the accessibility of counseling by using large
language models (LLMs) as counselors. To ensure client privacy, training
open-source ... | 2024-07-03T13:41:31Z | Published at EMNLP 2024 Findings | null | null | null | null | null | null | null | null | null |
2,407.03168 | LivePortrait: Efficient Portrait Animation with Stitching and
Retargeting Control | ['Jianzhu Guo', 'Dingyun Zhang', 'Xiaoqiang Liu', 'Zhizhou Zhong', 'Yuan Zhang', 'Pengfei Wan', 'Di Zhang'] | ['cs.CV'] | Portrait Animation aims to synthesize a lifelike video from a single source
image, using it as an appearance reference, with motion (i.e., facial
expressions and head pose) derived from a driving video, audio, text, or
generation. Instead of following mainstream diffusion-based methods, we explore
and extend the potent... | 2024-07-03T14:41:39Z | null | null | null | null | null | null | null | null | null | null |
2,407.03181 | Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT
Refinement in LLMs | ['Haritz Puerto', 'Tilek Chubakov', 'Xiaodan Zhu', 'Harish Tayyar Madabushi', 'Iryna Gurevych'] | ['cs.CL'] | Requiring a large language model (LLM) to generate intermediary reasoning
steps, known as Chain of Thought (CoT), has been shown to be an effective way
of boosting performance. Previous approaches have focused on generating
multiple independent CoTs, combining them through ensembling or other post-hoc
strategies to enh... | 2024-07-03T15:01:18Z | ACL 2025 Main | null | null | null | null | null | null | null | null | null |
2,407.03203 | TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts | ['Ruida Wang', 'Jipeng Zhang', 'Yizhen Jia', 'Rui Pan', 'Shizhe Diao', 'Renjie Pi', 'Tong Zhang'] | ['cs.FL', 'cs.AI'] | Proving mathematical theorems using computer-verifiable formal languages like
Lean significantly impacts mathematical reasoning. One approach to formal
theorem proving involves generating complete proofs using Large Language Models
(LLMs) based on Natural Language (NL) proofs. However, due to the scarcity of
aligned NL... | 2024-07-03T15:36:18Z | null | null | null | null | null | null | null | null | null | null |
2,407.03236 | CATT: Character-based Arabic Tashkeel Transformer | ['Faris Alasmary', 'Orjuwan Zaafarani', 'Ahmad Ghannam'] | ['cs.CL'] | Tashkeel, or Arabic Text Diacritization (ATD), greatly enhances the
comprehension of Arabic text by removing ambiguity and minimizing the risk of
misinterpretations caused by its absence. It plays a crucial role in improving
Arabic text processing, particularly in applications such as text-to-speech and
machine transla... | 2024-07-03T16:05:20Z | null | null | null | null | null | null | null | null | null | null |
2,407.03297 | Improved Noise Schedule for Diffusion Training | ['Tiankai Hang', 'Shuyang Gu', 'Xin Geng', 'Baining Guo'] | ['cs.CV', 'cs.AI'] | Diffusion models have emerged as the de facto choice for generating
high-quality visual signals across various domains. However, training a single
model to predict noise across various levels poses significant challenges,
necessitating numerous iterations and incurring significant computational
costs. Various approache... | 2024-07-03T17:34:55Z | null | null | null | null | null | null | null | null | null | null |
2,407.0332 | InternLM-XComposer-2.5: A Versatile Large Vision Language Model
Supporting Long-Contextual Input and Output | ['Pan Zhang', 'Xiaoyi Dong', 'Yuhang Zang', 'Yuhang Cao', 'Rui Qian', 'Lin Chen', 'Qipeng Guo', 'Haodong Duan', 'Bin Wang', 'Linke Ouyang', 'Songyang Zhang', 'Wenwei Zhang', 'Yining Li', 'Yang Gao', 'Peng Sun', 'Xinyue Zhang', 'Wei Li', 'Jingwen Li', 'Wenhai Wang', 'Hang Yan', 'Conghui He', 'Xingcheng Zhang', 'Kai Chen... | ['cs.CV', 'cs.CL'] | We present InternLM-XComposer-2.5 (IXC-2.5), a versatile large-vision
language model that supports long-contextual input and output. IXC-2.5 excels
in various text-image comprehension and composition applications, achieving
GPT-4V level capabilities with merely 7B LLM backend. Trained with 24K
interleaved image-text co... | 2024-07-03T17:59:21Z | Technical Report. https://github.com/InternLM/InternLM-XComposer | null | null | null | null | null | null | null | null | null |
2,407.03471 | Learning Action and Reasoning-Centric Image Editing from Videos and
Simulations | ['Benno Krojer', 'Dheeraj Vattikonda', 'Luis Lara', 'Varun Jampani', 'Eva Portelance', 'Christopher Pal', 'Siva Reddy'] | ['cs.CV'] | An image editing model should be able to perform diverse edits, ranging from
object replacement, changing attributes or style, to performing actions or
movement, which require many forms of reasoning. Current general
instruction-guided editing models have significant shortcomings with action and
reasoning-centric edits... | 2024-07-03T19:36:33Z | NeurIPS 2024 (Dataset & Benchmarks) | null | null | Learning Action and Reasoning-Centric Image Editing from Videos and Simulations | ['Benno Krojer', 'Dheeraj Vattikonda', 'Luis Lara', 'Varun Jampani', 'Eva Portelance', 'Christopher Pal', 'Siva Reddy'] | 2,024 | Neural Information Processing Systems | 7 | 59 | ['Computer Science'] |
2,407.03618 | BM25S: Orders of magnitude faster lexical search via eager sparse
scoring | ['Xing Han Lù'] | ['cs.IR', 'cs.CL'] | We introduce BM25S, an efficient Python-based implementation of BM25 that
only depends on Numpy and Scipy. BM25S achieves up to a 500x speedup compared
to the most popular Python-based framework by eagerly computing BM25 scores
during indexing and storing them into sparse matrices. It also achieves
considerable speedup... | 2024-07-04T04:01:05Z | Technical Report | null | null | null | null | null | null | null | null | null |
2,407.03634 | SOWA: Adapting Hierarchical Frozen Window Self-Attention to
Visual-Language Models for Better Anomaly Detection | ['Zongxiang Hu', 'Zhaosheng Zhang'] | ['cs.CV'] | Visual anomaly detection is essential in industrial manufacturing, yet
traditional methods often rely heavily on extensive normal datasets and
task-specific models, limiting their scalability. Recent advancements in
large-scale vision-language models have significantly enhanced zero- and
few-shot anomaly detection. How... | 2024-07-04T04:54:03Z | 8 pages, 9 figures, conference | null | null | null | null | null | null | null | null | null |
2,407.03648 | High Fidelity Text-Guided Music Editing via Single-Stage Flow Matching | ['Gael Le Lan', 'Bowen Shi', 'Zhaoheng Ni', 'Sidd Srinivasan', 'Anurag Kumar', 'Brian Ellis', 'David Kant', 'Varun Nagaraja', 'Ernie Chang', 'Wei-Ning Hsu', 'Yangyang Shi', 'Vikas Chandra'] | ['eess.AS', 'cs.SD'] | We introduce MelodyFlow, an efficient text-controllable high-fidelity music
generation and editing model. It operates on continuous latent representations
from a low frame rate 48 kHz stereo variational auto encoder codec. Based on a
diffusion transformer architecture trained on a flow-matching objective the
model can ... | 2024-07-04T05:38:49Z | null | null | null | null | null | null | null | null | null | null |
2,407.03653 | reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis | ['Kai Norman Clasen', 'Leonard Hackel', 'Tom Burgert', 'Gencer Sumbul', 'Begüm Demir', 'Volker Markl'] | ['cs.CV', 'eess.IV'] | This paper presents refined BigEarthNet (reBEN) that is a large-scale,
multi-modal remote sensing dataset constructed to support deep learning (DL)
studies for remote sensing image analysis. The reBEN dataset consists of
549,488 pairs of Sentinel-1 and Sentinel-2 image patches. To construct reBEN,
we initially consider... | 2024-07-04T05:48:28Z | Accepted at IEEE International Geoscience and Remote Sensing
Symposium (IGARSS) 2025. Our code is available at
https://github.com/rsim-tu-berlin/bigearthnet-pipeline | null | null | reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis | ['Kai Norman Clasen', 'L. Hackel', 'Tom Burgert', 'Gencer Sumbul', 'Begum Demir', 'Volker Markl'] | 2,024 | arXiv.org | 12 | 28 | ['Computer Science', 'Engineering'] |
2,407.03893 | Do Generalised Classifiers really work on Human Drawn Sketches? | ['Hmrishav Bandyopadhyay', 'Pinaki Nath Chowdhury', 'Aneeshan Sain', 'Subhadeep Koley', 'Tao Xiang', 'Ayan Kumar Bhunia', 'Yi-Zhe Song'] | ['cs.CV', 'cs.AI'] | This paper, for the first time, marries large foundation models with human
sketch understanding. We demonstrate what this brings -- a paradigm shift in
terms of generalised sketch representation learning (e.g., classification).
This generalisation happens on two fronts: (i) generalisation across unknown
categories (i.e... | 2024-07-04T12:37:08Z | ECCV 2024 | null | null | null | null | null | null | null | null | null |
2,407.03925 | Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly
Sparse Graphs | ['Hrishikesh Viswanath', 'Yue Chang', 'Aleksey Panas', 'Julius Berner', 'Peter Yichen Chen', 'Aniket Bera'] | ['cs.LG'] | Simulating complex physical systems governed by Lagrangian dynamics often
requires solving partial differential equations (PDEs) over high-resolution
spatial domains, resulting in substantial computational costs. We present
GIOROM (\textit{G}raph \textit{I}nf\textit{O}rmed \textit{R}educed
\textit{O}rder \textit{M}odel... | 2024-07-04T13:37:26Z | null | null | null | null | null | null | null | null | null | null |
2,407.03941 | Narrow Transformer: StarCoder-Based Java-LM For Desktop | ['Kamalkumar Rathinasamy', 'Balaji A J', 'Ankush Kumar', 'Gagan Gayari', 'Harshini K', 'Rajab Ali Mondal', 'Sreenivasa Raghavan K S', 'Swayam Singh', 'Mohammed Rafee Tarafdar'] | ['cs.SE', 'cs.AI', 'cs.CL', 'I.2.7'] | This paper presents NT-Java-1.1B, an open-source specialized code language
model built on StarCoderBase-1.1B, designed for coding tasks in Java
programming. NT-Java-1.1B achieves state-of-the-art performance, surpassing its
base model and majority of other models of similar size on MultiPL-E Java code
benchmark. While ... | 2024-07-04T13:54:24Z | Updated Authors list | null | null | null | null | null | null | null | null | null |
2,407.03958 | Stark: Social Long-Term Multi-Modal Conversation with Persona
Commonsense Knowledge | ['Young-Jun Lee', 'Dokyong Lee', 'Junyoung Youn', 'Kyeongjin Oh', 'Byungsoo Ko', 'Jonghwan Hyeon', 'Ho-Jin Choi'] | ['cs.CL', 'cs.CV'] | Humans share a wide variety of images related to their personal experiences
within conversations via instant messaging tools. However, existing works focus
on (1) image-sharing behavior in singular sessions, leading to limited
long-term social interaction, and (2) a lack of personalized image-sharing
behavior. In this ... | 2024-07-04T14:26:49Z | Project website: https://stark-dataset.github.io | null | null | null | null | null | null | null | null | null |
2,407.03963 | LLM-jp: A Cross-organizational Project for the Research and Development
of Fully Open Japanese LLMs | ['LLM-jp', ':', 'Akiko Aizawa', 'Eiji Aramaki', 'Bowen Chen', 'Fei Cheng', 'Hiroyuki Deguchi', 'Rintaro Enomoto', 'Kazuki Fujii', 'Kensuke Fukumoto', 'Takuya Fukushima', 'Namgi Han', 'Yuto Harada', 'Chikara Hashimoto', 'Tatsuya Hiraoka', 'Shohei Hisada', 'Sosuke Hosokawa', 'Lu Jie', 'Keisuke Kamata', 'Teruhito Kanazawa... | ['cs.CL', 'cs.AI'] | This paper introduces LLM-jp, a cross-organizational project for the research
and development of Japanese large language models (LLMs). LLM-jp aims to
develop open-source and strong Japanese LLMs, and as of this writing, more than
1,500 participants from academia and industry are working together for this
purpose. This... | 2024-07-04T14:33:03Z | null | null | null | null | null | null | null | null | null | null |
2,407.0402 | LLMAEL: Large Language Models are Good Context Augmenters for Entity
Linking | ['Amy Xin', 'Yunjia Qi', 'Zijun Yao', 'Fangwei Zhu', 'Kaisheng Zeng', 'Xu Bin', 'Lei Hou', 'Juanzi Li'] | ['cs.CL'] | Entity Linking (EL) models are well-trained at mapping mentions to their
corresponding entities according to a given context. However, EL models
struggle to disambiguate long-tail entities due to their limited training data.
Meanwhile, large language models (LLMs) are more robust at interpreting
uncommon mentions. Yet,... | 2024-07-04T15:55:13Z | null | null | null | null | null | null | null | null | null | null |
2,407.04082 | DASS: Distilled Audio State Space Models Are Stronger and More
Duration-Scalable Learners | ['Saurabhchand Bhati', 'Yuan Gong', 'Leonid Karlinsky', 'Hilde Kuehne', 'Rogerio Feris', 'James Glass'] | ['eess.AS'] | State-space models (SSMs) have emerged as an alternative to Transformers for
audio modeling due to their high computational efficiency with long inputs.
While recent efforts on Audio SSMs have reported encouraging results, two main
limitations remain: First, in 10-second short audio tagging tasks, Audio SSMs
still unde... | 2024-07-04T17:46:19Z | null | null | null | null | null | null | null | null | null | null |
2,407.04172 | ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild | ['Ahmed Masry', 'Megh Thakkar', 'Aayush Bajaj', 'Aaryaman Kartha', 'Enamul Hoque', 'Shafiq Joty'] | ['cs.AI', 'cs.CL', 'cs.CV'] | Given the ubiquity of charts as a data analysis, visualization, and
decision-making tool across industries and sciences, there has been a growing
interest in developing pre-trained foundation models as well as general purpose
instruction-tuned models for chart understanding and reasoning. However,
existing methods suff... | 2024-07-04T22:16:40Z | null | null | null | null | null | null | null | null | null | null |
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