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Conference on Empirical Methods in Natural Language Processing · 会议 · Natural Language Processing

共收录 7868
2407.01878 2024-10-30 cs.CL

Compare without Despair: Reliable Preference Evaluation with Generation Separability

Sayan Ghosh, Tejas Srinivasan, Swabha Swayamdipta

Comments Corrected description of reference in Related Work; Findings of EMNLP 2024 Camera Ready Version

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2406.15741 2024-10-30 cs.CL cs.AI cs.LG

Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level

Zhaopeng Feng, Ruizhe Chen, Yan Zhang, Zijie Meng, Zuozhu Liu

Comments EMNLP 2024 Main. Data and code are available at https://github.com/fzp0424/MT-Ladder

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2406.12673 2024-10-30 cs.CL

Estimating Knowledge in Large Language Models Without Generating a Single Token

Daniela Gottesman, Mor Geva

Comments Accepted at EMNLP 2024 Main Conference

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2402.12291 2024-10-30 cs.CL

KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students

Matthew Shu, Nishant Balepur, Shi Feng, Jordan Boyd-Graber

Comments EMNLP 2024 (fixed error in testing throughput definition)

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2312.01678 2024-10-30 cs.AI cs.CL cs.DB cs.LG

Jellyfish: A Large Language Model for Data Preprocessing

Haochen Zhang, Yuyang Dong, Chuan Xiao, Masafumi Oyamada

Comments Accepted by EMNLP 2024, a.k.a. "Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing''

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2410.21061 2024-10-29 cs.CV cs.AI cs.MM

Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative Framework

Vladimir Arkhipkin, Viacheslav Vasilev, Andrei Filatov, Igor Pavlov, Julia Agafonova, Nikolai Gerasimenko, Anna Averchenkova, Evelina Mironova, Anton Bukashkin, Konstantin Kulikov, Andrey Kuznetsov, Denis Dimitrov

Comments Accepted for EMNLP 2024 (Demo track)

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2410.06741 2024-10-29 cs.CL cs.LG

CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models

Zi Gong, Hang Yu, Cong Liao, Bingchang Liu, Chaoyu Chen, Jianguo Li

Comments 15 pages, main conference of EMNLP 2024

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2407.04151 2024-10-29 cs.CL cs.AI cs.CR cs.LG

Securing Multi-turn Conversational Language Models From Distributed Backdoor Triggers

Terry Tong, Jiashu Xu, Qin Liu, Muhao Chen

Comments Findings of EMNLP 2024

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2406.14952 2024-10-29 cs.CL

ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models

Haiquan Zhao, Lingyu Li, Shisong Chen, Shuqi Kong, Jiaan Wang, Kexin Huang, Tianle Gu, Yixu Wang, Wang Jian, Dandan Liang, Zhixu Li, Yan Teng, Yanghua Xiao, Yingchun Wang

Comments EMNLP 2024

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2406.11801 2024-10-29 cs.CL

Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations

Rima Hazra, Sayan Layek, Somnath Banerjee, Soujanya Poria

Comments EMNLP 2024 Main. Codes are available at: https://github.com/declare-lab/safety-arithmetic

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2406.10203 2024-10-29 cs.CL

A Probability--Quality Trade-off in Aligned Language Models and its Relation to Sampling Adaptors

Naaman Tan, Josef Valvoda, Tianyu Liu, Anej Svete, Yanxia Qin, Kan Min-Yen, Ryan Cotterell

Comments EMNLP 2024

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2405.02144 2024-10-29 cs.CL

MedReadMe: A Systematic Study for Fine-grained Sentence Readability in Medical Domain

Chao Jiang, Wei Xu

Comments This paper has been accepted as oral presentation at EMNLP 2024 main conference

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2410.20817 2024-10-29 cs.CL

The Zeno's Paradox of `Low-Resource' Languages

Hellina Hailu Nigatu, Atnafu Lambebo Tonja, Benjamin Rosman, Thamar Solorio, Monojit Choudhury

Comments Accepted at EMNLP 2024

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2410.20219 2024-10-29 cs.CL

Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery

Yimin Deng, Yuxia Wu, Guoshuai Zhao, Li Zhu, Xueming Qian

Comments Accepted by EMNLP 2024 Findings

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2410.20200 2024-10-29 cs.CL

Reasoning or a Semblance of it? A Diagnostic Study of Transitive Reasoning in LLMs

Houman Mehrafarin, Arash Eshghi, Ioannis Konstas

Comments To appear in EMNLP Main 2024

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2410.20019 2024-10-29 cs.CL cs.CR

Attacks against Abstractive Text Summarization Models through Lead Bias and Influence Functions

Poojitha Thota, Shirin Nilizadeh

Comments 10 pages, 3 figures, Accepted at EMNLP Findings 2024

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2410.20008 2024-10-29 cs.CL cs.LG

Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models

Zheng Zhao, Yftah Ziser, Shay B. Cohen

Comments Accepted to EMNLP 2024

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2410.12891 2024-10-29 cs.CL cs.AI cs.HC

Multi-trait User Simulation with Adaptive Decoding for Conversational Task Assistants

Rafael Ferreira, David Semedo, João Magalhães

Comments Preprint from EMNLP 2024 Findings

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2409.14703 2024-10-29 cs.LG cs.CL cs.MM

MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification

Siddhant Bikram Shah, Shuvam Shiwakoti, Maheep Chaudhary, Haohan Wang

Comments Accepted to EMNLP 2024 (Main)

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2408.06941 2024-10-29 cs.IR

OpenResearcher: Unleashing AI for Accelerated Scientific Research

Yuxiang Zheng, Shichao Sun, Lin Qiu, Dongyu Ru, Cheng Jiayang, Xuefeng Li, Jifan Lin, Binjie Wang, Yun Luo, Renjie Pan, Yang Xu, Qingkai Min, Zizhao Zhang, Yiwen Wang, Wenjie Li, Pengfei Liu

Comments Accepted to Demo track of EMNLP 2024

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2408.06273 2024-10-29 cs.CL

FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data

Haoran Sun, Renren Jin, Shaoyang Xu, Leiyu Pan, Supryadi, Menglong Cui, Jiangcun Du, Yikun Lei, Lei Yang, Ling Shi, Juesi Xiao, Shaolin Zhu, Deyi Xiong

Comments Accepted to EMNLP 2024 Industry Track

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2407.16637 2024-10-29 cs.CL cs.AI cs.LG

Course-Correction: Safety Alignment Using Synthetic Preferences

Rongwu Xu, Yishuo Cai, Zhenhong Zhou, Renjie Gu, Haiqin Weng, Yan Liu, Tianwei Zhang, Wei Xu, Han Qiu

Comments Paper accepted to EMNLP 2024. Camera-ready version. We have released our dataset and scripts at https://github.com/pillowsofwind/Course-Correction

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2407.03967 2024-10-29 cs.CL cs.AI cs.RO

Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks

Amit Parekh, Nikolas Vitsakis, Alessandro Suglia, Ioannis Konstas

Comments Accepted at EMNLP 2024 (main)

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2406.16536 2024-10-29 cs.CL

C-LLM: Learn to Check Chinese Spelling Errors Character by Character

Kunting Li, Yong Hu, Liang He, Fandong Meng, Jie Zhou

Comments Accepted to EMNLP 2024 Main

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2406.10471 2024-10-29 cs.CL

Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts

Zhaoxuan Tan, Zheyuan Liu, Meng Jiang

Comments EMNLP 2024 Main

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2405.10051 2024-10-29 cs.CR cs.CL

MarkLLM: An Open-Source Toolkit for LLM Watermarking

Leyi Pan, Aiwei Liu, Zhiwei He, Zitian Gao, Xuandong Zhao, Yijian Lu, Binglin Zhou, Shuliang Liu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu

Comments EMNLP 2024 Demo

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2404.11055 2024-10-29 cs.CL

Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis

Zhiheng Lyu, Zhijing Jin, Fernando Gonzalez, Rada Mihalcea, Bernhard Schölkopf, Mrinmaya Sachan

Comments EMNLP 2024 Findings

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2402.14086 2024-10-29 cs.CL cs.AI cs.LG

LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons

Zheng-Xin Yong, Cristina Menghini, Stephen H. Bach

Comments EMNLP Findings 2024

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2402.12327 2024-10-29 cs.AI cs.CL cs.CY cs.MA econ.GN q-fin.EC

Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agents

Zengqing Wu, Run Peng, Shuyuan Zheng, Qianying Liu, Xu Han, Brian Inhyuk Kwon, Makoto Onizuka, Shaojie Tang, Chuan Xiao

Comments EMNLP 2024 Findings. Source codes available at https://github.com/wuzengqing001225/SABM_ShallWeTeamUp

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2311.06647 2024-10-29 cs.CL

Robust Text Classification: Analyzing Prototype-Based Networks

Zhivar Sourati, Darshan Deshpande, Filip Ilievski, Kiril Gashteovski, Sascha Saralajew

Comments Published at EMNLP Findings 2024

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