url stringlengths 46 49 | text stringlengths 20k 205k |
|---|---|
https://aclanthology.org/2024.emnlp-main.1.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1–14
November 12-16, 2024 ©2024 Association for Computational Linguistics
UNIGEN: Universal Domain Generalization
for Sentiment Classification via Zero-shot Dataset Generation
Juhwan Choi1, Yeonghwa Kim1, Seunguk Yu1, Jungmin ... |
https://aclanthology.org/2024.emnlp-main.2.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 15–29
November 12-16, 2024 ©2024 Association for Computational Linguistics
MULTI -NEWS +: Cost-efficient Dataset Cleansing
via LLM-based Data Annotation
Juhwan Choi1, Jungmin Yun1, Kyohoon Jin2 and YoungBin Kim1,2
1Department ... |
https://aclanthology.org/2024.emnlp-main.3.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 30–45
November 12-16, 2024 ©2024 Association for Computational Linguistics
FIZZ: Factual Inconsistency Detection by Zoom-in Summary and
Zoom-out Document
Joonho Yang1, Seunghyun Yoon2, Byeongjeong Kim1, Hwanhee Lee1†
1Departme... |
https://aclanthology.org/2024.emnlp-main.4.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 46–74
November 12-16, 2024 ©2024 Association for Computational Linguistics
Prompts have evil twins
Rimon Melamed
GWU
rmelamed@gwu.edu
Lucas H. McCabe
GWU and LMI
lucasmccabe@gwu.edu
Tanay Wakhare
MIT
twakhare@mit.edu
Yejin Kim... |
https://aclanthology.org/2024.emnlp-main.5.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 75–92
November 12-16, 2024 ©2024 Association for Computational Linguistics
Table Question Answering for Low-resourced Indic Languages
Vaishali Pal1,2 Evangelos Kanoulas1 Andrew Yates1 Maarten de Rijke1
1University of Amsterdam... |
https://aclanthology.org/2024.emnlp-main.6.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 93–127
November 12-16, 2024 ©2024 Association for Computational Linguistics
ImageInWords: Unlocking Hyper-Detailed Image Descriptions
Roopal Garg1 Andrea Burns1 Burcu Karagol Ayan1
Yonatan Bitton1 Ceslee Montgomery1 Yasumasa O... |
https://aclanthology.org/2024.emnlp-main.7.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 128–145
November 12-16, 2024 ©2024 Association for Computational Linguistics
LLM-Based Agent Society Investigation: Collaboration and Confrontation
in Avalon Gameplay
Yihuai Lan1∗, Zhiqiang Hu3∗, Lei Wang4, Yang Wang5, Deheng ... |
https://aclanthology.org/2024.emnlp-main.8.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 146–158
November 12-16, 2024 ©2024 Association for Computational Linguistics
When LLMs Meet Acoustic Landmarks: An Efficient Approach to
Integrate Speech into Large Language Models for Depression Detection
Xiangyu Zhang1, Hexi... |
https://aclanthology.org/2024.emnlp-main.9.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 159–171
November 12-16, 2024 ©2024 Association for Computational Linguistics
Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed
up Speech Diffusion Model
Xiangyu Zhang1∗, Daijiao Liu1∗, Hexin Liu3, Qiquan Zha... |
https://aclanthology.org/2024.emnlp-main.10.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 172–186
November 12-16, 2024 ©2024 Association for Computational Linguistics
Hateful Word in Context Classification
Sanne Hoeken1, Sina Zarrieß1 and Özge Alaçam1,2
1Computational Linguistics, Department of Linguistics, Bielefe... |
https://aclanthology.org/2024.emnlp-main.11.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 187–205
November 12-16, 2024 ©2024 Association for Computational Linguistics
Eyes Don’t Lie: Subjective Hate Annotation and Detection with Gaze
Özge Alaçam1,2, Sanne Hoeken1, and Sina Zarrieß1
1Computational Linguistics, Depar... |
https://aclanthology.org/2024.emnlp-main.12.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 206–212
November 12-16, 2024 ©2024 Association for Computational Linguistics
NumeroLogic: Number Encoding
for Enhanced LLMs’ Numerical Reasoning
Eli Schwartz1, Leshem Choshen2,3, Joseph Shtok1,
Sivan Doveh1, Leonid Karlinsky2,... |
https://aclanthology.org/2024.emnlp-main.13.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 213–227
November 12-16, 2024 ©2024 Association for Computational Linguistics
“Thinking” Fair and Slow: On the Efficacy of Structured Prompts for
Debiasing Language Models
Shaz Furniturewala1,5*, Surgan Jandial2*†, Abhinav Java... |
https://aclanthology.org/2024.emnlp-main.14.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 228–236
November 12-16, 2024 ©2024 Association for Computational Linguistics
A Usage-centric Take on Intent Understanding in E-Commerce
Wendi Zhou1† Tianyi Li1 Pavlos Vougiouklis2 Mark Steedman1 Jeff Z. Pan1,2∗
1University of ... |
https://aclanthology.org/2024.emnlp-main.15.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 237–250
November 12-16, 2024 ©2024 Association for Computational Linguistics
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs
Oded Ovadia*, Meni Brief*, Moshik Mishaeli, and Oren Elisha
Microsoft, Israel
Abstrac... |
https://aclanthology.org/2024.emnlp-main.16.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 251–267
November 12-16, 2024 ©2024 Association for Computational Linguistics
Systematic Biases in LLM Simulations of Debates
Amir Taubenfeld12∗ Yaniv Dover34 Roi Reichart5 Ariel Goldstein236
*Corresponding Author: amirt@google... |
https://aclanthology.org/2024.emnlp-main.17.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 268–283
November 12-16, 2024 ©2024 Association for Computational Linguistics
Studying and Mitigating Biases in Sign Language Understanding Models
Katherine Atwell
Northeastern University
atwell.ka@northeastern.edu
Danielle Bra... |
https://aclanthology.org/2024.emnlp-main.18.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 284–312
November 12-16, 2024 ©2024 Association for Computational Linguistics
Uncertainty in Language Models: Assessment through Rank-Calibration
Xinmeng Huang*† Shuo Li∗† Mengxin Yu† Matteo Sesia‡ Hamed Hassani†
Insup Lee† Osb... |
https://aclanthology.org/2024.emnlp-main.19.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 313–333
November 12-16, 2024 ©2024 Association for Computational Linguistics
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of
Large Language Models in Tool Learning
Junjie Ye1, Yilong Wu 1, Songyang Gao 1, Ca... |
https://aclanthology.org/2024.emnlp-main.20.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 334–350
November 12-16, 2024 ©2024 Association for Computational Linguistics
Learning Planning-based Reasoning via Trajectories Collection and
Process Reward Synthesizing
Fangkai Jiao1,2 Chengwei Qin1 Zhengyuan Liu2
Nancy F. C... |
https://aclanthology.org/2024.emnlp-main.21.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 351–361
November 12-16, 2024 ©2024 Association for Computational Linguistics
Scaling Properties of Speech Language Models
Santiago Cuervo and Ricard Marxer
Université de Toulon, Aix Marseille Université, CNRS, LIS. Toulon, Fra... |
https://aclanthology.org/2024.emnlp-main.22.pdf | “We Demand Justice!”:
Towards Social Context Grounding of Political Texts
Rajkumar Pujari and Chengfei Wu and Dan Goldwasser
Purdue University, West Lafayette, USA
{rpujari,wu1491,dgoldwas}@purdue.edu
Abstract
Political discourse on social media often con-
tains similar language with opposing intended
meanings. For exa... |
https://aclanthology.org/2024.emnlp-main.23.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 373–387
November 12-16, 2024 ©2024 Association for Computational Linguistics
An Experimental Analysis on Evaluating Patent Citations
Rabindra Nath Nandi
Hishab Singapore Pte. Ltd
rabindro.rath@gmail.com
Suman Kalyan Maity
Miss... |
https://aclanthology.org/2024.emnlp-main.24.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 388–409
November 12-16, 2024 ©2024 Association for Computational Linguistics
Fine-Tuning Large Language Models to Translate:
Will a Touch of Noisy Data in Misaligned Languages Suffice?
Dawei Zhu1 Pinzhen Chen2 Miaoran Zhang1
B... |
https://aclanthology.org/2024.emnlp-main.25.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 410–423
November 12-16, 2024 ©2024 Association for Computational Linguistics
Consolidating Ranking and Relevance Predictions
of Large Language Models through Post-Processing
Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman,
Xua... |
https://aclanthology.org/2024.emnlp-main.26.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 424–444
November 12-16, 2024 ©2024 Association for Computational Linguistics
Strength Lies in Differences!Improving Strategy Planning for
Non-collaborative Dialogues via Diversified User Simulation
Tong Zhang♠♡, Chen Huang ♠♡,... |
https://aclanthology.org/2024.emnlp-main.27.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 445–463
November 12-16, 2024 ©2024 Association for Computational Linguistics
Impeding LLM-assisted Cheating in Introductory Programming
Assignments via Adversarial Perturbation
Saiful Islam Salim*, Rubin Yuchan Yang*, Alexande... |
https://aclanthology.org/2024.emnlp-main.28.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 464–478
November 12-16, 2024 ©2024 Association for Computational Linguistics
Clustering and Ranking: Diversity-preserved Instruction Selection
through Expert-aligned Quality Estimation
Yuan Ge1∗, Yilun Liu2, Chi Hu1, Weibin Me... |
https://aclanthology.org/2024.emnlp-main.29.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 479–494
November 12-16, 2024 ©2024 Association for Computational Linguistics
On the Influence of Gender and Race in
Romantic Relationship Prediction from Large Language Models
Abhilasha Sancheti∗ Haozhe An∗ Rachel Rudinger
Uni... |
https://aclanthology.org/2024.emnlp-main.30.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 495–507
November 12-16, 2024 ©2024 Association for Computational Linguistics
EmphAssess : a Prosodic Benchmark on Assessing Emphasis Transfer in
Speech-to-Speech Models
Maureen de Seyssel∗ 1,2 Antony D’Avirro1 Adina Williams1 ... |
https://aclanthology.org/2024.emnlp-main.31.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 508–521
November 12-16, 2024 ©2024 Association for Computational Linguistics
On Fake News Detection with LLM Enhanced Semantics Mining
Xiaoxiao Ma1,2, †*, Yuchen Zhang1,3†, Kaize Ding4, Jian Yang1, Jia Wu1, Hao Fan3
1School of... |
https://aclanthology.org/2024.emnlp-main.32.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 522–556
November 12-16, 2024 ©2024 Association for Computational Linguistics
On Sensitivity of Learning with Limited Labelled Data to the Effects of
Randomness: Impact of Interactions and Systematic Choices
Branislav Pecher♠†‡... |
https://aclanthology.org/2024.emnlp-main.33.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 557–568
November 12-16, 2024 ©2024 Association for Computational Linguistics
Evaluating the Instruction-Following Robustness of
Large Language Models to Prompt Injection
Zekun Li1, Baolin Peng2, Pengcheng He3*, Xifeng Yan1
1Un... |
https://aclanthology.org/2024.emnlp-main.34.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 569–579
November 12-16, 2024 ©2024 Association for Computational Linguistics
A Study of Nationality Bias in Names and Perplexity using Off-the-Shelf
Affect-related Tweet Classifiers
Valentin Barriere
Universidad de Chile – DCC... |
https://aclanthology.org/2024.emnlp-main.35.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 580–606
November 12-16, 2024 ©2024 Association for Computational Linguistics
Mitigating the Alignment Tax of RLHF
Yong Lin1*, Hangyu Lin2*, Wei Xiong3*, Shizhe Diao4*, Jianmeng Liu2, Jipeng Zhang2, Rui Pan3,
Haoxiang Wang3, We... |
https://aclanthology.org/2024.emnlp-main.36.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 607–625
November 12-16, 2024 ©2024 Association for Computational Linguistics
Evaluating Readability and Faithfulness of Concept-based Explanations
Meng Li1∗, Haoran Jin2∗, Ruixuan Huang2, Zhihao Xu1,
Defu Lian2, Zijia Lin3, Di... |
https://aclanthology.org/2024.emnlp-main.37.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 626–642
November 12-16, 2024 ©2024 Association for Computational Linguistics
Personality-aware Student Simulation for Conversational
Intelligent Tutoring Systems
Zhengyuan Liu❖*, Stella Xin Yin♠*, Geyu Lin❖, Nancy F. Chen❖
♠Na... |
https://aclanthology.org/2024.emnlp-main.38.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 643–659
November 12-16, 2024 ©2024 Association for Computational Linguistics
MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for
Superior Planning and Decision-Making
Dayuan Fu1,2, Biqing Qi1,3*, Yihuai Gao4,... |
https://aclanthology.org/2024.emnlp-main.39.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 660–677
November 12-16, 2024 ©2024 Association for Computational Linguistics
COCOLOFA: A Dataset of News Comments with Common Logical
Fallacies Written by LLM-Assisted Crowds
Min-Hsuan Yeh1 Ruyuan Wan2 Ting-Hao ‘Kenneth’ Huang... |
https://aclanthology.org/2024.emnlp-main.40.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 678–702
November 12-16, 2024 ©2024 Association for Computational Linguistics
Tokenization Is More Than Compression
Craig W. Schmidt† Varshini Reddy† Haoran Zhang†,‡ Alec Alameddine†
Omri Uzan§ Yuval Pinter§ Chris Tanner†,¶
†Ke... |
https://aclanthology.org/2024.emnlp-main.41.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 703–718
November 12-16, 2024 ©2024 Association for Computational Linguistics
FLIRT: Feedback Loop In-context Red Teaming
Ninareh Mehrabi*
Palash Goyal Christophe Dupuy Qian Hu Shalini Ghosh
Richard Zemel Kai-Wei Chang Aram Gal... |
https://aclanthology.org/2024.emnlp-main.42.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 719–736
November 12-16, 2024 ©2024 Association for Computational Linguistics
Successfully Guiding Humans with Imperfect Instructions by Highlighting
Potential Errors and Suggesting Corrections
♠Lingjun Zhao and ♣Nguyen X. Khan... |
https://aclanthology.org/2024.emnlp-main.43.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 737–749
November 12-16, 2024 ©2024 Association for Computational Linguistics
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts
for Instruction Tuning on General Tasks
Haoyuan Wu♠, Haisheng Zheng♡, Zhuolun ... |
https://aclanthology.org/2024.emnlp-main.44.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 750–766
November 12-16, 2024 ©2024 Association for Computational Linguistics
GeoGPT4V: Towards Geometric Multi-modal Large Language Models
with Geometric Image Generation
Shihao Cai1 * ‡, Keqin Bao1 *, Hangyu Guo2, Jizhi Zhang... |
https://aclanthology.org/2024.emnlp-main.45.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 767–783
November 12-16, 2024 ©2024 Association for Computational Linguistics
DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities
Thong Nguyen1, Shubham Chatterjee2, Sean MacAvaney3
Ian Mackie3, Jeff Dalton2, ... |
https://aclanthology.org/2024.emnlp-main.46.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 784–801
November 12-16, 2024 ©2024 Association for Computational Linguistics
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for
Sparse Architectural Large Language Models
Zihan Wang12*, Deli Chen1, Damai Dai1... |
https://aclanthology.org/2024.emnlp-main.47.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 802–816
November 12-16, 2024 ©2024 Association for Computational Linguistics
LONG EMBED : Extending Embedding Models for Long Context Retrieval
Dawei Zhu*♡♠ Liang Wang♢ Nan Yang♢ Yifan Song♡♠ Wenhao Wu♡♠
Furu Wei♢ Sujian Li♡♠♣... |
https://aclanthology.org/2024.emnlp-main.48.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 817–838
November 12-16, 2024 ©2024 Association for Computational Linguistics
Making Large Language Models Better Reasoners with
Orchestrated Streaming Experiences
Xiangyang Liu Junliang He Xipeng Qiu *
School of Computer Scien... |
https://aclanthology.org/2024.emnlp-main.49.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 839–856
November 12-16, 2024 ©2024 Association for Computational Linguistics
Overcome Noise and Bias: Segmentation-Aided Multi-Granularity
Denoising and Debiasing for Enhanced Quarduples Extraction in Dialogue
Xianlong Luo1,2 ... |
https://aclanthology.org/2024.emnlp-main.50.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 857–867
November 12-16, 2024 ©2024 Association for Computational Linguistics
Integrating Plutchik’s Theory with Mixture of Experts for Enhancing
Emotion Classification
Dongjun Lim
Sungkyunkwan University
Suwon, South Korea
fla... |
https://aclanthology.org/2024.emnlp-main.51.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 868–881
November 12-16, 2024 ©2024 Association for Computational Linguistics
In-context Contrastive Learning for Event Causality Identification
Chao Liang 1 Wei Xiang 2 Bang Wang 1 ∗
1 School of Electronic Information and Comm... |
https://aclanthology.org/2024.emnlp-main.52.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 882–912
November 12-16, 2024 ©2024 Association for Computational Linguistics
What’s Mine becomes Yours: Defining, Annotating and Detecting
Context-Dependent Paraphrases in News Interview Dialogs
Anna Wegmann1, Tijs van den Bro... |
https://aclanthology.org/2024.emnlp-main.53.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 913–929
November 12-16, 2024 ©2024 Association for Computational Linguistics
Language Models Learn Rare Phenomena from Less Rare Phenomena:
The Case of the Missing AANNs
Kanishka Misra Kyle Mahowald
Department of Linguistics
T... |
https://aclanthology.org/2024.emnlp-main.54.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 930–957
November 12-16, 2024 ©2024 Association for Computational Linguistics
Large Language Models for Data Annotation and Synthesis: A Survey
Zhen Tan♠∗, Dawei Li♠∗, Song Wang♣∗, Alimohammad Beigi♠ , Bohan Jiang♠ ,
Amrita Bha... |
https://aclanthology.org/2024.emnlp-main.55.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 958–976
November 12-16, 2024 ©2024 Association for Computational Linguistics
Chain-of-Dictionary Prompting Elicits Translation
in Large Language Models∗
Hongyuan Lu♡†, Haoran Yang♡†, Haoyang Huang♠
Dongdong Zhang♠,Wai Lam♡, Fu... |
https://aclanthology.org/2024.emnlp-main.56.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 977–995
November 12-16, 2024 ©2024 Association for Computational Linguistics
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for
Memory-Efficient Large Language Models Fine-Tuning
Yifan Yang1 Kai Zhen2 Ershad Banijamali2 ... |
https://aclanthology.org/2024.emnlp-main.57.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 996–1008
November 12-16, 2024 ©2024 Association for Computational Linguistics
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of
Pre-trained Language Model for Knowledge Editing and Fine-tuning
Haoyu Wang†, Tianci Liu... |
https://aclanthology.org/2024.emnlp-main.58.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1009–1025
November 12-16, 2024 ©2024 Association for Computational Linguistics
BlendFilter: Advancing Retrieval-Augmented Large Language Models
via Query Generation Blending and Knowledge Filtering
Haoyu Wang†, Ruirui Li⋆, Hao... |
https://aclanthology.org/2024.emnlp-main.59.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1026–1046
November 12-16, 2024 ©2024 Association for Computational Linguistics
HEART -felt Narratives:
Tracing Empathy and Narrative Style in Personal Stories with LLMs
Jocelyn Shen1 Joel Mire2 Hae Won Park1
Cynthia Breazeal1 ... |
https://aclanthology.org/2024.emnlp-main.60.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1047–1067
November 12-16, 2024 ©2024 Association for Computational Linguistics
Eliminating Biased Length Reliance of Direct Preference Optimization via
Down-Sampled KL Divergence
Junru Lu1∗,3, Jiazheng Li2*, Siyu An3, Meng Zha... |
https://aclanthology.org/2024.emnlp-main.61.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1068–1080
November 12-16, 2024 ©2024 Association for Computational Linguistics
Bridging Cultures in the Kitchen: A Framework and Benchmark for
Cross-Cultural Recipe Retrieval
Tianyi Hu Maria Maistro Daniel Hershcovich
Departme... |
https://aclanthology.org/2024.emnlp-main.62.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1081–1093
November 12-16, 2024 ©2024 Association for Computational Linguistics
RULE: Reliable Multimodal RAG for Factuality
in Medical Vision Language Models
Peng Xia1∗, Kangyu Zhu2∗, Haoran Li3, Hongtu Zhu1,
Yun Li1, Gang Li1... |
https://aclanthology.org/2024.emnlp-main.63.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1094–1106
November 12-16, 2024 ©2024 Association for Computational Linguistics
CryptoTrade: A Reflective LLM-based Agent to Guide
Zero-shot Cryptocurrency Trading
Yuan Li∗, Bingqiao Luo∗, Qian Wang∗, Nuo Chen, Xu Liu, Bingshen... |
https://aclanthology.org/2024.emnlp-main.64.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1107–1128
November 12-16, 2024 ©2024 Association for Computational Linguistics
A Survey on In-context Learning
Qingxiu Dong1, Lei Li1, Damai Dai1, Ce Zheng1, Jingyuan Ma1, Rui Li1, Heming Xia2,
Jingjing Xu3, Zhiyong Wu4, Baoba... |
https://aclanthology.org/2024.emnlp-main.65.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1129–1142
November 12-16, 2024 ©2024 Association for Computational Linguistics
DocHieNet: A Large and Diverse Dataset for Document Hierarchy Parsing
Hangdi Xing1*, Changxu Cheng2*, Feiyu Gao2†, Zirui Shao1,
Zhi Yu1†, Jiajun Bu... |
https://aclanthology.org/2024.emnlp-main.66.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1143–1166
November 12-16, 2024 ©2024 Association for Computational Linguistics
AMR-Evol: Adaptive Modular Response Evolution Elicits Better
Knowledge Distillation for Large Language Models in Code Generation
♠Ziyang Luo, ♡Xin ... |
https://aclanthology.org/2024.emnlp-main.67.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1167–1181
November 12-16, 2024 ©2024 Association for Computational Linguistics
EFUF: Efficient Fine-Grained Unlearning Framework for Mitigating
Hallucinations in Multimodal Large Language Models
Shangyu Xing Fei Zhao Zhen Wu *... |
https://aclanthology.org/2024.emnlp-main.68.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1182–1191
November 12-16, 2024 ©2024 Association for Computational Linguistics
Rethinking Pruning Large Language Models:
Benefits and Pitfalls of Reconstruction Error Minimization
Sungbin Shin1* Wonpyo Park2 Jaeho Lee1,2,3 Namh... |
https://aclanthology.org/2024.emnlp-main.69.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1192–1207
November 12-16, 2024 ©2024 Association for Computational Linguistics
LLMs Are Zero-Shot Context-Aware Simultaneous Translators
Roman Koshkin† Katsuhito Sudoh‡♣ Satoshi Nakamura‡♠
†Okinawa Institute of Science and Ten... |
https://aclanthology.org/2024.emnlp-main.70.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1208–1226
November 12-16, 2024 ©2024 Association for Computational Linguistics
AGENT REVIEW : Exploring Peer Review Dynamics with LLM Agents
Yiqiao Jin1∗, Qinlin Zhao2∗, Yiyang Wang1, Hao Chen3,
Kaijie Zhu4, Yijia Xiao5, Jindo... |
https://aclanthology.org/2024.emnlp-main.71.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1227–1240
November 12-16, 2024 ©2024 Association for Computational Linguistics
ChatRetriever: Adapting Large Language Models for Generalized and
Robust Conversational Dense Retrieval
Kelong Mao1, Chenlong Deng1, Haonan Chen1, ... |
https://aclanthology.org/2024.emnlp-main.72.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1241–1252
November 12-16, 2024 ©2024 Association for Computational Linguistics
Fairer Preferences Elicit Improved Human-Aligned
Large Language Model Judgments
Han Zhou1 Xingchen Wan2* Yinhong Liu1 Nigel Collier1
Ivan Vuli´c1 A... |
https://aclanthology.org/2024.emnlp-main.73.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1253–1265
November 12-16, 2024 ©2024 Association for Computational Linguistics
Learning Interpretable Legal Case Retrieval via Knowledge-Guided
Case Reformulation
Chenlong Deng, Kelong Mao, Zhicheng Dou*
Gaoling School of Arti... |
https://aclanthology.org/2024.emnlp-main.74.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1266–1280
November 12-16, 2024 ©2024 Association for Computational Linguistics
Effective Demonstration Annotation for In-Context Learning via
Language Model-Based Determinantal Point Process
Peng Wang♠, Xiaobin Wang♡, Chao Lou... |
https://aclanthology.org/2024.emnlp-main.75.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1281–1287
November 12-16, 2024 ©2024 Association for Computational Linguistics
Pre-trained Language Models Do Not Help Auto-regressive
Text-to-Image Generation
Yuhui Zhang1, Brandon McKinzie2, Zhe Gan3, Vaishaal Shankar3, Al... |
https://aclanthology.org/2024.emnlp-main.76.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1288–1299
November 12-16, 2024 ©2024 Association for Computational Linguistics
QUDS ELECT : Selective Decoding for Questions Under Discussion Parsing
Ashima Suvarna♡∗ Xiao Liu♢∗ Tanmay Parekh♡ Kai-Wei Chang♡ Nanyun Peng♡
♡Comp... |
https://aclanthology.org/2024.emnlp-main.77.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1300–1310
November 12-16, 2024 ©2024 Association for Computational Linguistics
Mitigating Language Bias of LMMs in Social Intelligence Understanding
with Virtual Counterfactual Calibration
Peng Chen 1, Xiao-Yu Guo 2, Yuan-Fang... |
https://aclanthology.org/2024.emnlp-main.78.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1311–1331
November 12-16, 2024 ©2024 Association for Computational Linguistics
Model Balancing Helps Low-data Training and Fine-tuning
Zihang Liu∗1, 2, Yuanzhe Hu∗1, 3, Tianyu Pang1, Yefan Zhou1,
Pu Ren4, Yaoqing Yang1
1Dartmo... |
https://aclanthology.org/2024.emnlp-main.79.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1332–1353
November 12-16, 2024 ©2024 Association for Computational Linguistics
1332of this simple recipe. Across two tasks (summa-
rization and open-ended dialog generation), two
reward optimization methods (reinforcement lear... |
https://aclanthology.org/2024.emnlp-main.80.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1354–1365
November 12-16, 2024 ©2024 Association for Computational Linguistics
Large Language Models as Foundations for Next-Gen Dense Retrieval: A
Comprehensive Empirical Assessment
Kun Luo1,2,3††Minghao Qin2† Zheng Liu2∗ ∗Sh... |
https://aclanthology.org/2024.emnlp-main.81.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1366–1381
November 12-16, 2024 ©2024 Association for Computational Linguistics
A New Pipeline for Knowledge Graph Reasoning Enhanced by Large
Language Models Without Fine-Tuning
Zhongwu Chen1, Long Bai2, Zixuan Li2, Zhen Huang... |
https://aclanthology.org/2024.emnlp-main.82.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1382–1400
November 12-16, 2024 ©2024 Association for Computational Linguistics
Towards Tool Use Alignment of Large Language Models
Zhi-Yuan Chen1, Shiqi Shen3, Guangyao Shen3, Gong Zhi3,
Xu Chen1,2, Yankai Lin1,2*
1Gaoling Sch... |
https://aclanthology.org/2024.emnlp-main.83.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1401–1418
November 12-16, 2024 ©2024 Association for Computational Linguistics
DecorateLM: Data Engineering through Corpus Rating, Tagging, and
Editing with Language Models
Ranchi Zhao1*, Zhen Leng Thai2*, Yifan Zhang1*, Sheng... |
https://aclanthology.org/2024.emnlp-main.84.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1419–1436
November 12-16, 2024 ©2024 Association for Computational Linguistics
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in
Large Language Models Using Only Attention Maps
Yung-Sung Chuang† Linlu Qiu† C... |
https://aclanthology.org/2024.emnlp-main.85.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1437–1454
November 12-16, 2024 ©2024 Association for Computational Linguistics
Controllable Preference Optimization: Toward Controllable
Multi-Objective Alignment
Yiju Guo*1, Ganqu Cui∗2, Lifan Yuan2, Ning Ding2, Zexu Sun1, Bo... |
https://aclanthology.org/2024.emnlp-main.86.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1455–1466
November 12-16, 2024 ©2024 Association for Computational Linguistics
Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest
Self-Supervised Learning for Conversational Recommendation
Yongsen Zheng1,2, Rui... |
https://aclanthology.org/2024.emnlp-main.87.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1467–1478
November 12-16, 2024 ©2024 Association for Computational Linguistics
Advancing Event Causality Identification via Heuristic Semantic
Dependency Inquiry Network
Haoran Li1, Qiang Gao2,3, Hongmei Wu2, Li Huang2,3*
1Col... |
https://aclanthology.org/2024.emnlp-main.88.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1479–1489
November 12-16, 2024 ©2024 Association for Computational Linguistics
Exploring Union and Intersection of Visual Regions for Generating
Questions, Answers, and Distractors
Wenjian Ding1, Yao Zhang2, Jun Wang3, Adam Ja... |
https://aclanthology.org/2024.emnlp-main.89.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1490–1507
November 12-16, 2024 ©2024 Association for Computational Linguistics
UniFashion: A Unified Vision-Language Model for Multimodal Fashion
Retrieval and Generation
Xiangyu Zhao1, Yuehan Zhang2, Wenlong Zhang1,3, Xiao-Mi... |
https://aclanthology.org/2024.emnlp-main.90.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1508–1519
November 12-16, 2024 ©2024 Association for Computational Linguistics
Tracking the perspectives of interacting language models
Hayden Helm
Nomic AI
hayden@nomic.ai
Brandon Duderstadt
Nomic AI
brandon@nomic.ai
Youngser... |
https://aclanthology.org/2024.emnlp-main.91.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1520–1530
November 12-16, 2024 ©2024 Association for Computational Linguistics
MAR: Matching-Augmented Reasoning for Enhancing Visual-based Entity
Question Answering
Zhengxuan Zhang1, Yin Wu1, Yuyu Luo1,2, Nan Tang1,2∗
1The Ho... |
https://aclanthology.org/2024.emnlp-main.92.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1531–1555
November 12-16, 2024 ©2024 Association for Computational Linguistics
Can Large Language Models Always Solve Easy Problems
if They Can Solve Harder Ones?
Zhe Yang1, Yichang Zhang2, Tianyu Liu2, Jian Yang2, Junyang Lin... |
https://aclanthology.org/2024.emnlp-main.93.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1556–1572
November 12-16, 2024 ©2024 Association for Computational Linguistics
Watch Every Step! LLM Agent Learning via
Iterative Step-Level Process Refinement
Weimin Xiong1, Yifan Song1, Xiutian Zhao2, Wenhao Wu1, Xun Wang1
K... |
https://aclanthology.org/2024.emnlp-main.94.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1573–1594
November 12-16, 2024 ©2024 Association for Computational Linguistics
STANDARDIZE : Aligning Language Models with Expert-Defined Standards
for Content Generation
Joseph Marvin ImperialΩ,Λ Gail ForeyΛ Harish Tayyar Mad... |
https://aclanthology.org/2024.emnlp-main.95.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1595–1609
November 12-16, 2024 ©2024 Association for Computational Linguistics
Cross-domain NER with Generated Task-Oriented Knowledge:
An Empirical Study from Information Density Perspective
Zhihao Zhang1, Sophia Yat Mei Lee2... |
https://aclanthology.org/2024.emnlp-main.96.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1610–1626
November 12-16, 2024 ©2024 Association for Computational Linguistics
Glue pizza and eat rocks- Exploiting Vulnerabilities in Retrieval-
Augmented Generative Models
W ARNING: This paper contains model outputs that ma... |
https://aclanthology.org/2024.emnlp-main.97.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1627–1639
November 12-16, 2024 ©2024 Association for Computational Linguistics
Predicate Debiasing in Vision-Language Models Integration for Scene
Graph Generation Enhancement
Yuxuan Wang and Xiaoyuan Liu
Nanyang Technological... |
https://aclanthology.org/2024.emnlp-main.98.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1640–1670
November 12-16, 2024 ©2024 Association for Computational Linguistics
SHIELD: Evaluation and Defense Strategies for Copyright Compliance in
LLM Text Generation
Xiaoze Liu1∗, Ting Sun∗, Tianyang Xu1, Feijie Wu1,
Cunxia... |
https://aclanthology.org/2024.emnlp-main.99.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1671–1685
November 12-16, 2024 ©2024 Association for Computational Linguistics
MatchTime: Towards Automatic Soccer Game Commentary Generation
Jiayuan Rao∗, Haoning Wu∗, Chang Liu, Yanfeng Wang†, Weidi Xie†
School of Artificial... |
https://aclanthology.org/2024.emnlp-main.100.pdf | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1686–1697
November 12-16, 2024 ©2024 Association for Computational Linguistics
Rethinking Token Reduction for State Space Models
Zheng Zhan1*, Yushu Wu1*, Zhenglun Kong12*, Changdi Yang1,
Yifan Gong1, Xuan Shen1, Xue Lin1, Pu ... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.