ACL

Filtered Corpus Training (FiCT) Shows that Language Models can Generalize from Indirect Evidence

Abhinav Patil, Jaap Jumelet, Yu Ying Chiu, Andy Lapastora, Peter Shen, Lexie Wang, Clevis Willrich, Shane Steinert-Threlkeld

Comments Forthcoming in Transactions of the Association for Computational Linguistics (TACL). This is a pre-MIT Press publication version. For code and trained models, see http://github.com/CLMBRs/corpus-filtering

I am a Strange Dataset: Metalinguistic Tests for Language Models

Tristan Thrush, Jared Moore, Miguel Monares, Christopher Potts, Douwe Kiela

Comments ACL 2024

LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning

Mingyang Zhang, Hao Chen, Chunhua Shen, Zhen Yang, Linlin Ou, Xinyi Yu, Bohan Zhuang

Comments accepted by acl 2024 findings

Synthesizing Text-to-SQL Data from Weak and Strong LLMs

Jiaxi Yang, Binyuan Hui, Min Yang, Jian Yang, Junyang Lin, Chang Zhou

Comments 12 pages, 7 figures, ACL 2024

Making Long-Context Language Models Better Multi-Hop Reasoners

Yanyang Li, Shuo Liang, Michael R. Lyu, Liwei Wang

Comments ACL 2024 Main Conference Camera Ready; Dataset, model, and code are available at https://github.com/LaVi-Lab/LongContextReasoner

Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization

Yanghai Zhang, Ye Liu, Shiwei Wu, Kai Zhang, Xukai Liu, Qi Liu, Enhong Chen

Comments In ACL-Findings 2024

Understanding Retrieval Robustness for Retrieval-Augmented Image Captioning

Wenyan Li, Jiaang Li, Rita Ramos, Raphael Tang, Desmond Elliott

Comments 9 pages, long paper at ACL 2024

The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities

David Stap, Eva Hasler, Bill Byrne, Christof Monz, Ke Tran

Comments Accepted to ACL 2024 (long, main). Latest version includes link to the IdiomsInCtx-MT dataset

ColorSwap: A Color and Word Order Dataset for Multimodal Evaluation

Jirayu Burapacheep, Ishan Gaur, Agam Bhatia, Tristan Thrush

Comments ACL Findings 2024

Accelerating Multilingual Language Model for Excessively Tokenized Languages

Jimin Hong, Gibbeum Lee, Jaewoong Cho

Comments Accepted to ACL 2024 Findings

GADePo: Graph-Assisted Declarative Pooling Transformers for Document-Level Relation Extraction

Andrei C. Coman, Christos Theodoropoulos, Marie-Francine Moens, James Henderson

Comments Accepted to KnowledgeNLP workshop at ACL 2024

ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews

Mike D'Arcy, Alexis Ross, Erin Bransom, Bailey Kuehl, Jonathan Bragg, Tom Hope, Doug Downey

Comments ACL 2024, 10 pages, 2 figures

Beyond Orthography: Automatic Recovery of Short Vowels and Dialectal Sounds in Arabic

Yassine El Kheir, Hamdy Mubarak, Ahmed Ali, Shammur Absar Chowdhury

Comments Accepted ACL 2024 Main Conference

Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction

Albert Sawczyn, Katsiaryna Viarenich, Konrad Wojtasik, Aleksandra Domogała, Marcin Oleksy, Maciej Piasecki, Tomasz Kajdanowicz

Comments Accepted for ACL 2024 (findings)

Decoupled Vocabulary Learning Enables Zero-Shot Translation from Unseen Languages

Carlos Mullov, Ngoc-Quan Pham, Alexander Waibel

Comments Accepted to ACL 2024

Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models

Weihong Zhong, Xiaocheng Feng, Liang Zhao, Qiming Li, Lei Huang, Yuxuan Gu, Weitao Ma, Yuan Xu, Bing Qin

Comments Accepted to ACL 2024 Main Conference. 21 pages, 20 figures

What Do Language Models Learn in Context? The Structured Task Hypothesis

Jiaoda Li, Yifan Hou, Mrinmaya Sachan, Ryan Cotterell

Comments This work is published in ACL 2024

SocialBench: Sociality Evaluation of Role-Playing Conversational Agents

Hongzhan Chen, Hehong Chen, Ming Yan, Wenshen Xu, Xing Gao, Weizhou Shen, Xiaojun Quan, Chenliang Li, Ji Zhang, Fei Huang, Jingren Zhou

Comments ACL 2024 Findings

Aligning Large Language Models for Controllable Recommendations

Wensheng Lu, Jianxun Lian, Wei Zhang, Guanghua Li, Mingyang Zhou, Hao Liao, Xing Xie

Comments 14 pages; Accepted by ACL 2024 main conference

InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents

Qiusi Zhan, Zhixiang Liang, Zifan Ying, Daniel Kang

Comments 36 pages, 6 figures, 13 tables (ACL 2024 Findings)

A Chinese Dataset for Evaluating the Safeguards in Large Language Models

Yuxia Wang, Zenan Zhai, Haonan Li, Xudong Han, Lizhi Lin, Zhenxuan Zhang, Jingru Zhao, Preslav Nakov, Timothy Baldwin

Comments 14 pages

Journal ref ACL2024-Findings

Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process Feedback

Chengfeng Dou, Zhi Jin, Wenpin Jiao, Haiyan Zhao, Yongqiang Zhao, Zhenwei Tao

Comments Accepted by ACL2024 Findings

Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation

Jiachen Zhao, Wenlong Zhao, Andrew Drozdov, Benjamin Rozonoyer, Md Arafat Sultan, Jay-Yoon Lee, Mohit Iyyer, Andrew McCallum

Comments ACL 2024

ANNA: Abstractive Text-to-Image Synthesis with Filtered News Captions

Aashish Anantha Ramakrishnan, Sharon X. Huang, Dongwon Lee

Comments To appear in the ACL 3rd Workshop on Advances in Language and Vision Research (ALVR), Bangkok, Thailand, August 2024, https://alvr-workshop.github.io

Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic Features

Mengyu Bu, Shuhao Gu, Yang Feng

Comments Accepted by ACL2024 Findings

Let's Go Real Talk: Spoken Dialogue Model for Face-to-Face Conversation

Se Jin Park, Chae Won Kim, Hyeongseop Rha, Minsu Kim, Joanna Hong, Jeong Hun Yeo, Yong Man Ro

Comments Accepted to ACL 2024 (Oral)

ArchCode: Incorporating Software Requirements in Code Generation with Large Language Models

Hojae Han, Jaejin Kim, Jaeseok Yoo, Youngwon Lee, Seung-won Hwang

Comments Accepted by ACL 2024 main conference

Leveraging LLM Reasoning Enhances Personalized Recommender Systems

Alicia Y. Tsai, Adam Kraft, Long Jin, Chenwei Cai, Anahita Hosseini, Taibai Xu, Zemin Zhang, Lichan Hong, Ed H. Chi, Xinyang Yi

Comments To be published at ACL 2024

Language models emulate certain cognitive profiles: An investigation of how predictability measures interact with individual differences

Patrick Haller, Lena S. Bolliger, Lena A. Jäger

Comments ACL 2024 Findings

MERA: A Comprehensive LLM Evaluation in Russian

Alena Fenogenova, Artem Chervyakov, Nikita Martynov, Anastasia Kozlova, Maria Tikhonova, Albina Akhmetgareeva, Anton Emelyanov, Denis Shevelev, Pavel Lebedev, Leonid Sinev, Ulyana Isaeva, Katerina Kolomeytseva, Daniil Moskovskiy, Elizaveta Goncharova, Nikita Savushkin, Polina Mikhailova, Denis Dimitrov, Alexander Panchenko, Sergei Markov

Comments The paper version comparable with the release code v.1.1.0 of the benchmark MERA. ACL-2024 main track camera ready version