EMNLP

SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation

Minda Hu, Licheng Zong, Hongru Wang, Jingyan Zhou, Jingjing Li, Yichen Gao, Kam-Fai Wong, Yu Li, Irwin King

Comments This work has been accepted by EMNLP 2024

RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning

Haoyu Wang, Tianci Liu, Ruirui Li, Monica Cheng, Tuo Zhao, Jing Gao

Comments EMNLP 2024 main

GPT-4 Jailbreaks Itself with Near-Perfect Success Using Self-Explanation

Govind Ramesh, Yao Dou, Wei Xu

Comments Accepted to EMNLP 2024 Main Conference

Modeling Bilingual Sentence Processing: Evaluating RNN and Transformer Architectures for Cross-Language Structural Priming

Demi Zhang, Bushi Xiao, Chao Gao, Sangpil Youm, Bonnie J Dorr

Comments This study evaluates the performance of RNN and Transformer models in replicating Chinese-English structural priming. Accepted by EMNLP Multilingual Representation Learning (MRL) Workshop 2024

Large Language Models in the Clinic: A Comprehensive Benchmark

Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xianfeng Tang, Chen Luo, Ming Zeng, Haoming Jiang, Yifan Gao, Priyanka Nigam, Sreyashi Nag, Bing Yin, Yining Hua, Xuan Zhou, Omid Rohanian, Anshul Thakur, Lei Clifton, David A. Clifton

Comments Accepted at EMNLP 2024 Main Conference

Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel

Brendan King, Jeffrey Flanigan

Comments To be presented at Empirical Methods in Natural Language Processing (EMNLP 2024). 18 Pages, 8 Figures

Empowering Air Travelers: A Chatbot for Canadian Air Passenger Rights

Maksym Taranukhin, Sahithya Ravi, Gabor Lukacs, Evangelos Milios, Vered Shwartz

Comments Accepted to The Natural Legal Language Processing Workshop at EMNLP 2024

CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models

Zexuan Qiu, Jingjing Li, Shijue Huang, Xiaoqi Jiao, Wanjun Zhong, Irwin King

Comments Findings of EMNLP 2024

BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering

Haoyu Wang, Ruirui Li, Haoming Jiang, Jinjin Tian, Zhengyang Wang, Chen Luo, Xianfeng Tang, Monica Cheng, Tuo Zhao, Jing Gao

Comments EMNLP 2024 main

Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context

Somnath Banerjee, Amruit Sahoo, Sayan Layek, Avik Dutta, Rima Hazra, Animesh Mukherjee

Comments Accepted at EMNLP 2024

Energy and Carbon Considerations of Fine-Tuning BERT

Xiaorong Wang, Clara Na, Emma Strubell, Sorelle Friedler, Sasha Luccioni

Comments EMNLP 2023 Findings; First two authors contributed equally; 12 pages

To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing

Sireesh Gururaja, Amanda Bertsch, Clara Na, David Gray Widder, Emma Strubell

Comments Accepted to EMNLP 2023

ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment

Tarek Naous, Michael J. Ryan, Anton Lavrouk, Mohit Chandra, Wei Xu

Comments Accepted to EMNLP 2024 Main Conference

LLM-Based Robust Product Classification in Commerce and Compliance

Sina Gholamian, Gianfranco Romani, Bartosz Rudnikowicz, Stavroula Skylaki

Comments Camera-ready version for Customizable NLP Workshop at EMNLP 2024. 11 pages

Towards Supporting Legal Argumentation with NLP: Is More Data Really All You Need?

T. Y. S. S Santosh, Kevin D. Ashley, Katie Atkinson, Matthias Grabmair

Comments Accepted to NLLP Workshop, EMNLP 2024

GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation

Wenjie Zhou, Zhenxin Ding, Xiaodong Zhang, Haibo Shi, Junfeng Wang, Dawei Yin

Comments Accepted by EMNLP 2024 Industry Track

Discovering Knowledge-Critical Subnetworks in Pretrained Language Models

Deniz Bayazit, Negar Foroutan, Zeming Chen, Gail Weiss, Antoine Bosselut

Comments EMNLP 2024

DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG

Jinyoung Kim, Dayoon Ko, Gunhee Kim

Comments EMNLP 2024 Main

Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMs

Sihang Zhao, Youliang Yuan, Xiaoying Tang, Pinjia He

Comments EMNLP 2024 Findings

SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation

Xinping Zhao, Dongfang Li, Yan Zhong, Boren Hu, Yibin Chen, Baotian Hu, Min Zhang

Comments 15 pages, 6 figures, 5 tables. Accepted by EMNLP 2024 (main)

Gender Bias in Decision-Making with Large Language Models: A Study of Relationship Conflicts

Sharon Levy, William D. Adler, Tahilin Sanchez Karver, Mark Dredze, Michelle R. Kaufman

Comments EMNLP Findings 2024

Enhancing AI Assisted Writing with One-Shot Implicit Negative Feedback

Benjamin Towle, Ke Zhou

Comments Accepted to appear at EMNLP 2024

Mitigating the Impact of Reference Quality on Evaluation of Summarization Systems with Reference-Free Metrics

Théo Gigant, Camille Guinaudeau, Marc Decombas, Frédéric Dufaux

Journal ref The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Nov 2024, Miami (FL), United States

Fill In The Gaps: Model Calibration and Generalization with Synthetic Data

Yang Ba, Michelle V. Mancenido, Rong Pan

Comments Accepted to EMNLP 2024 Main Conference (Long paper)

Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths

Yew Ken Chia, Guizhen Chen, Weiwen Xu, Luu Anh Tuan, Soujanya Poria, Lidong Bing

Comments EMNLP 2024 camera ready version

Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning

Shramay Palta, Nishant Balepur, Peter Rankel, Sarah Wiegreffe, Marine Carpuat, Rachel Rudinger

Comments EMNLP 2024 Camera Ready

MisinfoEval: Generative AI in the Era of "Alternative Facts"

Saadia Gabriel, Liang Lyu, James Siderius, Marzyeh Ghassemi, Jacob Andreas, Asu Ozdaglar

Comments EMNLP 2024. Correspondence can be sent to skgabrie at cs dot ucla dot edu

Dissecting Fine-Tuning Unlearning in Large Language Models

Yihuai Hong, Yuelin Zou, Lijie Hu, Ziqian Zeng, Di Wang, Haiqin Yang

Comments Accepted in EMNLP 2024 Main (Short paper)

Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on Large Language Models

Eldar Kurtic, Amir Moeini, Dan Alistarh

Comments EMNLP 2024

The Generation Gap: Exploring Age Bias in the Value Systems of Large Language Models

Siyang Liu, Trish Maturi, Bowen Yi, Siqi Shen, Rada Mihalcea

Comments 5 pages

Journal ref The 2024 Conference on Empirical Methods in Natural Language Processing