ACL

AI "News" Content Farms Are Easy to Make and Hard to Detect: A Case Study in Italian

Giovanni Puccetti, Anna Rogers, Chiara Alzetta, Felice Dell'Orletta, Andrea Esuli

Comments In proceedings of ACL 2024

When to Trust LLMs: Aligning Confidence with Response Quality

Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding

Comments Accepted by ACL 2024. Code: https://github.com/TaoShuchang/CONQORD

SEER: Facilitating Structured Reasoning and Explanation via Reinforcement Learning

Guoxin Chen, Kexin Tang, Chao Yang, Fuying Ye, Yu Qiao, Yiming Qian

Comments Camera ready version for ACL 2024 Main Conference

MPCODER: Multi-user Personalized Code Generator with Explicit and Implicit Style Representation Learning

Zhenlong Dai, Chang Yao, WenKang Han, Ying Yuan, Zhipeng Gao, Jingyuan Chen

Comments Accepted by ACL 2024, Main Conference

In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery

Matteo Merler, Katsiaryna Haitsiukevich, Nicola Dainese, Pekka Marttinen

Comments 18 pages, 11 figures

Journal ref ACL Student Research Workshop 2024

Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder

Jiaqi Wang, Zhenxi Song, Zhengyu Ma, Xipeng Qiu, Min Zhang, Zhiguo Zhang

Comments 8 pages (excluding references), accepted by ACL 2024 Main Conference

Journal ref Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, Volume 1, pages 7278-7292, August 2024, Bangkok, Thailand

CodeInsight: A Curated Dataset of Practical Coding Solutions from Stack Overflow

Nathanaël Beau, Benoît Crabbé

Comments Accepted to ACL 2024 Findings

Probing Omissions and Distortions in Transformer-based RDF-to-Text Models

Juliette Faille, Albert Gatt, Claire Gardent

Comments Accepted for publication in Transactions of the ACL (TACL)

Overview of the First Shared Task on Clinical Text Generation: RRG24 and "Discharge Me!"

Justin Xu, Zhihong Chen, Andrew Johnston, Louis Blankemeier, Maya Varma, Jason Hom, William J. Collins, Ankit Modi, Robert Lloyd, Benjamin Hopkins, Curtis Langlotz, Jean-Benoit Delbrouck

Comments ACL Proceedings. BioNLP workshop

Journal ref Proceedings of the 23rd Workshop on Biomedical Natural Language Processing (2024) 85-98

JumpCoder: Go Beyond Autoregressive Coder via Online Modification

Mouxiang Chen, Hao Tian, Zhongxin Liu, Xiaoxue Ren, Jianling Sun

Comments ACL 2024 (main)

Benchmarking Cognitive Biases in Large Language Models as Evaluators

Ryan Koo, Minhwa Lee, Vipul Raheja, Jong Inn Park, Zae Myung Kim, Dongyeop Kang

Comments Publishsed at ACL 2024. 29 pages, 9 figures, 14 tables

MedCycle: Unpaired Medical Report Generation via Cycle-Consistency

Elad Hirsch, Gefen Dawidowicz, Ayellet Tal

Journal ref Findings of the Association for Computational Linguistics NAACL, 2024, 1929-1944

Bilingual Rhetorical Structure Parsing with Large Parallel Annotations

Elena Chistova

Journal ref Findings of the Association for Computational Linguistics ACL 2024

CHECKWHY: Causal Fact Verification via Argument Structure

Jiasheng Si, Yibo Zhao, Yingjie Zhu, Haiyang Zhu, Wenpeng Lu, Deyu Zhou

Comments Accepted by ACL2024; Awarded as Outstanding Paper Award and Area Chair Award

HOTVCOM: Generating Buzzworthy Comments for Videos

Yuyan Chen, Yiwen Qian, Songzhou Yan, Jiyuan Jia, Zhixu Li, Yanghua Xiao, Xiaobo Li, Ming Yang, Qingpei Guo

Comments Accepted to ACL 2024 (Findings)

MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations

Gia-Bao Dinh Ho, Chang Wei Tan, Zahra Zamanzadeh Darban, Mahsa Salehi, Gholamreza Haffari, Wray Buntine

Comments Accepted by ACL 2024 main conference

Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?

Yuyan Chen, Tianhao Yu, Yueze Li, Songzhou Yan, Sijia Liu, Jiaqing Liang, Yanghua Xiao

Comments Accepted to ACL 2024 (Findings)

WisPerMed at BioLaySumm: Adapting Autoregressive Large Language Models for Lay Summarization of Scientific Articles

Tabea M. G. Pakull, Hendrik Damm, Ahmad Idrissi-Yaghir, Henning Schäfer, Peter A. Horn, Christoph M. Friedrich

Comments 4 pages, 6 figure, 3 tables, acctepted at: BIONLP 2024 and Shared Tasks @ ACL 2024

Deciphering Hate: Identifying Hateful Memes and Their Targets

Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque, Sarah M. Preum

Comments Accepted to ACL 2024, 13 pages

EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models

Yuyan Chen, Hao Wang, Songzhou Yan, Sijia Liu, Yueze Li, Yi Zhao, Yanghua Xiao

Comments Accepted to ACL 2024 (Findings)

Latxa: An Open Language Model and Evaluation Suite for Basque

Julen Etxaniz, Oscar Sainz, Naiara Perez, Itziar Aldabe, German Rigau, Eneko Agirre, Aitor Ormazabal, Mikel Artetxe, Aitor Soroa

Comments ACL 2024

Journal ref Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14952--14972. 2024

MetaSumPerceiver: Multimodal Multi-Document Evidence Summarization for Fact-Checking

Ting-Chih Chen, Chia-Wei Tang, Chris Thomas

Comments 16 pages, 7 figures, The 62nd Annual Meeting of the Association for Computational Linguistics

On Measuring Faithfulness or Self-consistency of Natural Language Explanations

Letitia Parcalabescu, Anette Frank

Comments Paper accepted for publication at ACL 2024 Main (Bangkok, Thailand); 10 main paper pages, 30 appendix pages

Human Inspired Progressive Alignment and Comparative Learning for Grounded Word Acquisition

Yuwei Bao, Barrett Martin Lattimer, Joyce Chai

Journal ref ACL 2023

MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks

Letitia Parcalabescu, Anette Frank

Comments Published at ACL 2023 Main (Toronto); 10 pages, 14 appendix pages, 11 figures, 3 tables

Do Language Models Exhibit Human-like Structural Priming Effects?

Jaap Jumelet, Willem Zuidema, Arabella Sinclair

Comments ACL Findings 2024

Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering

Zhengliang Shi, Weiwei Sun, Shen Gao, Pengjie Ren, Zhumin Chen, Zhaochun Ren

Comments ACL 2024 (main conference)

CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion

Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Wai Lam, Lizhuang Ma

Comments ACL Findings 2024, Code is available at https://github.com/renqibing/CodeAttack

Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training

Haode Zhang, Haowen Liang, Liming Zhan, Albert Y. S. Lam, Xiao-Ming Wu

Comments ACL 2023, Findings

Interpretable Multimodal Misinformation Detection with Logic Reasoning

Hui Liu, Wenya Wang, Haoliang Li

Comments Accepted by Findings of ACL 23. 9 pages, 6 figures