EMNLP

WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions

Seyedali Mohammadi, Edward Raff, Jinendra Malekar, Vedant Palit, Francis Ferraro, Manas Gaur

Comments Accepted in BlackboxNLP @ EMNLP 2024

Journal ref Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, pages 364-388, November 2024, Miami, Florida, US. Association for Computational Linguistics

Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis

Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang

Comments Accepted by EMNLP 2024 Main

Filtered Direct Preference Optimization

Tetsuro Morimura, Mitsuki Sakamoto, Yuu Jinnai, Kenshi Abe, Kaito Ariu

Comments EMNLP 2024

Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization

Lei Xu, Mohammed Asad Karim, Saket Dingliwal, Aparna Elangovan

Comments Accepted to EMNLP 2024 Industry Track. Code available at https://github.com/amazon-science/SigExt

AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning

Yifan Yang, Kai Zhen, Ershad Banijamal, Athanasios Mouchtaris, Zheng Zhang

Comments Accepted for publication in EMNLP 2024

Large Language Models for Data Annotation and Synthesis: A Survey

Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu

Comments Accepted to EMNLP 2024 Main

Methods of Automatic Matrix Language Determination for Code-Switched Speech

Olga Iakovenko, Thomas Hain

Comments EMNLP 2024

Journal ref In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 5791-5800, Miami, Florida, USA. Association for Computational Linguistics

Detecting Temporal Ambiguity in Questions

Bhawna Piryani, Abdelrahman Abdallah, Jamshid Mozafari, Adam Jatowt

Comments Accepted at EMNLP 2024 Findings

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2024

EchoSight: Advancing Visual-Language Models with Wiki Knowledge

Yibin Yan, Weidi Xie

Comments Accepted by EMNLP 2024 findings; Project Page: https://go2heart.github.io/echosight

CogErgLLM: Exploring Large Language Model Systems Design Perspective Using Cognitive Ergonomics

Azmine Toushik Wasi, Mst Rafia Islam

Comments 10 Page, 3 Figures. Accepted in: (i) ICML'24: LLMs & Cognition Workshop (Non-archival; OpenReview: https://openreview.net/forum?id=63C9YSc77p) (ii) EMNLP'24 : NLP for Science Workshop (Archival; ACL Anthology: https://aclanthology.org/2024.nlp4science-1.22/)

Journal ref Proceedings of the 1st Workshop on NLP for Science (NLP4Science), EMNLP 2024

Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation

Branislav Pecher, Jan Cegin, Robert Belanec, Jakub Simko, Ivan Srba, Maria Bielikova

Comments Accepted to the Findings of the EMNLP'24 Conference

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2024

On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices

Branislav Pecher, Ivan Srba, Maria Bielikova

Comments Accepted to the EMNLP'24 Main Conference

Journal ref Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

GLaPE: Gold Label-agnostic Prompt Evaluation and Optimization for Large Language Model

Xuanchang Zhang, Zhuosheng Zhang, Hai Zhao

Comments EMNLP 2024

Authorship Obfuscation in Multilingual Machine-Generated Text Detection

Dominik Macko, Robert Moro, Adaku Uchendu, Ivan Srba, Jason Samuel Lucas, Michiharu Yamashita, Nafis Irtiza Tripto, Dongwon Lee, Jakub Simko, Maria Bielikova

Comments Accepted to EMNLP 2024 Findings

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2024

Explainable Identification of Hate Speech towards Islam using Graph Neural Networks

Azmine Toushik Wasi

Comments Accepted in: (i) NeurIPS 2023 : Muslims in ML Workshop (Non-archival) (https://www.musiml.org/schedule/#:~:text=Azmine%20Toushik%20Wasi) (ii) EMNLP 2024 : NLP for Positive Impact Workshop (Archival; ACL Anthology: https://aclanthology.org/2024.nlp4pi-1.23/)

Journal ref Proceedings of the Third Workshop on NLP for Positive Impact, EMNLP 2024

AMREx: AMR for Explainable Fact Verification

Chathuri Jayaweera, Sangpil Youm, Bonnie Dorr

Comments This study implements, evaluates, and analyzes an Abstract Meaning Representation (AMR) based partially explainable system for fact verification/ veracity classification. Accepted by EMNLP Workshop on Fact Extraction and VERification (FEVER) 2024, 11 pages, 7 figures,

Multi-label Sequential Sentence Classification via Large Language Model

Mengfei Lan, Lecheng Zheng, Shufan Ming, Halil Kilicoglu

Comments Accepted by EMNLP 2024 Findings

"What is the value of {templates}?" Rethinking Document Information Extraction Datasets for LLMs

Ran Zmigrod, Pranav Shetty, Mathieu Sibue, Zhiqiang Ma, Armineh Nourbakhsh, Xiaomo Liu, Manuela Veloso

Comments Accepted to EMNLP Findings 2024

Faithfulness and the Notion of Adversarial Sensitivity in NLP Explanations

Supriya Manna, Niladri Sett

Comments Accepted as a Full Paper at EMNLP 2024 Workshop BlackBoxNLP

Journal ref Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2024

Exploring Hint Generation Approaches in Open-Domain Question Answering

Jamshid Mozafari, Abdelrahman Abdallah, Bhawna Piryani, Adam Jatowt

Comments Accepted at EMNLP 2024

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2024

Irrelevant Alternatives Bias Large Language Model Hiring Decisions

Kremena Valkanova, Pencho Yordanov

Journal ref https://aclanthology.org/2024.findings-emnlp.405

On the Relationship between Truth and Political Bias in Language Models

Suyash Fulay, William Brannon, Shrestha Mohanty, Cassandra Overney, Elinor Poole-Dayan, Deb Roy, Jad Kabbara

Comments EMNLP 2024

Journal ref Proc. EMNLP (2024) 9004-9018

Instruction Pre-Training: Language Models are Supervised Multitask Learners

Daixuan Cheng, Yuxian Gu, Shaohan Huang, Junyu Bi, Minlie Huang, Furu Wei

Comments EMNLP 2024 Main Conference

Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation

Jirui Qi, Gabriele Sarti, Raquel Fernández, Arianna Bisazza

Comments Accepted by EMNLP 2024 Main Conference. Code and data released at https://github.com/Betswish/MIRAGE

Journal ref Proceedings of EMNLP (2024) 6037-6053

NALA: an Effective and Interpretable Entity Alignment Method

Chuanhao Xu, Jingwei Cheng, Fu Zhang

Comments 21 pages. EMNLP 2024 Findings (Accepted)

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2024 (pp. 13752-13772)

CoTAR: Chain-of-Thought Attribution Reasoning with Multi-level Granularity

Moshe Berchansky, Daniel Fleischer, Moshe Wasserblat, Peter Izsak

Comments Findings of the Association for Computational Linguistics: EMNLP 2024

MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration

Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See Kiong Ng, Jiashi Feng

Comments EMNLP 2024

LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble

Yujeong Lee, Sangwoo Shin, Wei-Jin Park, Honguk Woo

Comments Findings of EMNLP-2024 Camera Ready Version

Finding Blind Spots in Evaluator LLMs with Interpretable Checklists

Sumanth Doddapaneni, Mohammed Safi Ur Rahman Khan, Sshubam Verma, Mitesh M. Khapra

Comments EMNLP 2024

Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation

Raphael Tang, Xinyu Zhang, Lixinyu Xu, Yao Lu, Wenyan Li, Pontus Stenetorp, Jimmy Lin, Ferhan Ture

Comments Published at EMNLP 2024; outstanding paper award; 14 pages, 11 figures