EMNLP

ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness

Archiki Prasad, Swarnadeep Saha, Xiang Zhou, Mohit Bansal

Comments EMNLP 2023 camera-ready (21 pages)

Unnatural Error Correction: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text

Qi Cao, Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa

Comments EMNLP 2023 (with an additional analysis section in appendix)

Mavericks at BLP-2023 Task 1: Ensemble-based Approach Using Language Models for Violence Inciting Text Detection

Saurabh Page, Sudeep Mangalvedhekar, Kshitij Deshpande, Tanmay Chavan, Sheetal Sonawane

Comments 6 pages, 1 figure, accepted at the BLP Workshop, EMNLP 2023

Mavericks at NADI 2023 Shared Task: Unravelling Regional Nuances through Dialect Identification using Transformer-based Approach

Vedant Deshpande, Yash Patwardhan, Kshitij Deshpande, Sudeep Mangalvedhekar, Ravindra Murumkar

Comments 5 pages, 1 figure, accepted at the NADI ArabicNLP Workshop, EMNLP 2023

Mavericks at ArAIEval Shared Task: Towards a Safer Digital Space -- Transformer Ensemble Models Tackling Deception and Persuasion

Sudeep Mangalvedhekar, Kshitij Deshpande, Yash Patwardhan, Vedant Deshpande, Ravindra Murumkar

Comments 6 pages, 1 figure, accepted at the ArAIEval ArabicNLP workshop, EMNLP conference 2023

CoRec: An Easy Approach for Coordination Recognition

Qing Wang, Haojie Jia, Wenfei Song, Qi Li

Comments Accepted by EMNLP 2023 Main Conference (oral presentation)

Evaluating the Rationale Understanding of Critical Reasoning in Logical Reading Comprehension

Akira Kawabata, Saku Sugawara

Comments Accepted to EMNLP 2023

Uncertainty Guided Global Memory Improves Multi-Hop Question Answering

Alsu Sagirova, Mikhail Burtsev

Comments 12 pages, 7 figures. EMNLP 2023. Our code is available at https://github.com/Aloriosa/GEMFormer

ROBBIE: Robust Bias Evaluation of Large Generative Language Models

David Esiobu, Xiaoqing Tan, Saghar Hosseini, Megan Ung, Yuchen Zhang, Jude Fernandes, Jane Dwivedi-Yu, Eleonora Presani, Adina Williams, Eric Michael Smith

Comments EMNLP 2023

Filtered Semi-Markov CRF

Urchade Zaratiana, Nadi Tomeh, Niama El Khbir, Pierre Holat, Thierry Charnois

Comments EMNLP 2023 (Findings)

An Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives

Young Min Cho, Sunny Rai, Lyle Ungar, João Sedoc, Sharath Chandra Guntuku

Comments Accepted in EMNLP 2023 Main Conference, camera ready

Locally Differentially Private Document Generation Using Zero Shot Prompting

Saiteja Utpala, Sara Hooker, Pin Yu Chen

Comments Accepted at EMNLP 2023 (Findings)

Probing Quantifier Comprehension in Large Language Models: Another Example of Inverse Scaling

Akshat Gupta

Comments Accepted to BlackboxNLP (EMNLP 2023)

Controlling Pre-trained Language Models for Grade-Specific Text Simplification

Sweta Agrawal, Marine Carpuat

Comments EMNLP 2023

Editing Large Language Models: Problems, Methods, and Opportunities

Yunzhi Yao, Peng Wang, Bozhong Tian, Siyuan Cheng, Zhoubo Li, Shumin Deng, Huajun Chen, Ningyu Zhang

Comments EMNLP 2023. Updated with new experiments

Multi-turn Response Selection using Dialogue Dependency Relations

Qi Jia, Yizhu Liu, Siyu Ren, Kenny Q. Zhu, Haifeng Tang

Comments Accepted for publication as a long paper in EMNLP2020

Journal ref Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Temporal Information Extraction by Predicting Relative Time-lines

Artuur Leeuwenberg, Marie-Francine Moens

Comments Accepted at the Conference on Empirical Methods in Natural Language Processing (EMNLP 2018). Small correction in Eq. 6 on 30 Nov. 2023

An Attribution Method for Siamese Encoders

Lucas Möller, Dmitry Nikolaev, Sebastian Padó

Comments Accepted to EMNLP'23

Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback

Wei Shen, Rui Zheng, Wenyu Zhan, Jun Zhao, Shihan Dou, Tao Gui, Qi Zhang, Xuanjing Huang

Comments EMNLP 2023 findings, Length Bias in RLHF, Mitigate bias in reward modeling

Unveiling the Implicit Toxicity in Large Language Models

Jiaxin Wen, Pei Ke, Hao Sun, Zhexin Zhang, Chengfei Li, Jinfeng Bai, Minlie Huang

Comments EMNLP 2023 Main Conference

CESAR: Automatic Induction of Compositional Instructions for Multi-turn Dialogs

Taha Aksu, Devamanyu Hazarika, Shikib Mehri, Seokhwan Kim, Dilek Hakkani-Tür, Yang Liu, Mahdi Namazifar

Comments EMNLP 2023

Elo Uncovered: Robustness and Best Practices in Language Model Evaluation

Meriem Boubdir, Edward Kim, Beyza Ermis, Sara Hooker, Marzieh Fadaee

Comments 22 pages, 7 figures, 2 tables. Revised version of the paper accepted at GEM Workshop, EMNLP 2023

Quantifying the redundancy between prosody and text

Lukas Wolf, Tiago Pimentel, Evelina Fedorenko, Ryan Cotterell, Alex Warstadt, Ethan Wilcox, Tamar Regev

Comments Published at The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Assessing the influence of attractor-verb distance on grammatical agreement in humans and language models

Christos-Nikolaos Zacharopoulos, Théo Desbordes, Mathias Sablé-Meyer

Comments 10 pages (5 main, 2 refs, 3 supplementary) ; 5 figures (3 main, 2 supplementary) ; accepted at EMNLP 2023 (no DOI yet)

Debiasing Multimodal Models via Causal Information Minimization

Vaidehi Patil, Adyasha Maharana, Mohit Bansal

Comments EMNLP 2023 Findings (16 pages)

Text2Tree: Aligning Text Representation to the Label Tree Hierarchy for Imbalanced Medical Classification

Jiahuan Yan, Haojun Gao, Zhang Kai, Weize Liu, Danny Chen, Jian Wu, Jintai Chen

Comments EMNLP 2023 Findings. Code: https://github.com/jyansir/Text2Tree

Influence Scores at Scale for Efficient Language Data Sampling

Nikhil Anand, Joshua Tan, Maria Minakova

Comments Accepted at EMNLP '23

An Exploration of Left-Corner Transformations

Andreas Opedal, Eleftheria Tsipidi, Tiago Pimentel, Ryan Cotterell, Tim Vieira

Comments Main conference long paper at EMNLP 2023

Improving Image Captioning via Predicting Structured Concepts

Ting Wang, Weidong Chen, Yuanhe Tian, Yan Song, Zhendong Mao

Comments Accepted by EMNLP 2023 (Main Conference, Oral)

Pre-training Language Models for Comparative Reasoning

Mengxia Yu, Zhihan Zhang, Wenhao Yu, Meng Jiang

Comments EMNLP 2023 - Camera Ready. Typos fixed