ACL

Revisiting Knowledge Distillation for Autoregressive Language Models

Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao

Comments Accepted to ACL2024 Main Conference

ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding

Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao

Comments Accepted to ACL2024 Findings

SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs

Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu

Comments ACL 2024 Long Paper

Quantifying the Persona Effect in LLM Simulations

Tiancheng Hu, Nigel Collier

Comments ACL 2024 Main

AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation

Zhaowei Wang, Wei Fan, Qing Zong, Hongming Zhang, Sehyun Choi, Tianqing Fang, Xin Liu, Yangqiu Song, Ginny Y. Wong, Simon See

Comments Accepted by ACL 2024

Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint

Zhipeng Chen, Kun Zhou, Wayne Xin Zhao, Junchen Wan, Fuzheng Zhang, Di Zhang, Ji-Rong Wen

Comments 18 pages, Findings of ACL2024

Speech language models lack important brain-relevant semantics

Subba Reddy Oota, Emin Çelik, Fatma Deniz, Mariya Toneva

Comments 26 pages, 20 figures, The 62nd Annual Meeting of the Association for Computational Linguistics, Long paper - Main

Striking Gold in Advertising: Standardization and Exploration of Ad Text Generation

Masato Mita, Soichiro Murakami, Akihiko Kato, Peinan Zhang

Comments Accepted to ACL2024 (main, long)

ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer

Arkadiy Saakyan, Smaranda Muresan

Comments ACL 2024 Main, Camera Ready

Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender?

Haozhe An, Christabel Acquaye, Colin Wang, Zongxia Li, Rachel Rudinger

Comments ACL 2024

Prompt-Based Length Controlled Generation with Multiple Control Types

Renlong Jie, Xiaojun Meng, Lifeng Shang, Xin Jiang, Qun Liu

Comments Accepted by ACL 2024 findings. arXiv admin note: text overlap with arXiv:2308.12030

Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models

Abhishek Kumar, Robert Morabito, Sanzhar Umbet, Jad Kabbara, Ali Emami

Comments 9 pages (excluding references), accepted to ACL 2024 Main Conference

MMToM-QA: Multimodal Theory of Mind Question Answering

Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu

Comments ACL 2024. 26 pages, 11 figures, 7 tables

Explore Spurious Correlations at the Concept Level in Language Models for Text Classification

Yuhang Zhou, Paiheng Xu, Xiaoyu Liu, Bang An, Wei Ai, Furong Huang

Comments 14 pages, 4 page appendix, Accepted by ACL 2024 Main

Perturbed examples reveal invariances shared by language models

Ruchit Rawal, Mariya Toneva

Comments Accepted at ACL 2024 (Findings)

On the Evaluation of Speech Foundation Models for Spoken Language Understanding

Siddhant Arora, Ankita Pasad, Chung-Ming Chien, Jionghao Han, Roshan Sharma, Jee-weon Jung, Hira Dhamyal, William Chen, Suwon Shon, Hung-yi Lee, Karen Livescu, Shinji Watanabe

Comments Accepted at ACL Findings 2024

Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness

Maximilian Spliethöver, Sai Nikhil Menon, Henning Wachsmuth

Comments Accepted to Findings of the Association for Computational Linguistics: ACL 2024

Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments

Zhenrui Yue, Huimin Zeng, Lanyu Shang, Yifan Liu, Yang Zhang, Dong Wang

Comments Accepted to ACL 2024

FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text Generation

Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Kezhi Mao

Comments ACL 2024

Empowering Character-level Text Infilling by Eliminating Sub-Tokens

Houxing Ren, Mingjie Zhan, Zhongyuan Wu, Hongsheng Li

Comments Accepted to ACL 2024 (main conference)

VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wild

Puyuan Peng, Po-Yao Huang, Shang-Wen Li, Abdelrahman Mohamed, David Harwath

Comments ACL 2024. Data, code, and model weights are available at https://github.com/jasonppy/VoiceCraft

EUROPA: A Legal Multilingual Keyphrase Generation Dataset

Olivier Salaün, Frédéric Piedboeuf, Guillaume Le Berre, David Alfonso Hermelo, Philippe Langlais

Comments 19 pages, 2 figures, accepted at ACL 2024

MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning

Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng

Comments Published as a conference paper at ACL Findings 2024

How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering

Jinxin Liu, Shulin Cao, Jiaxin Shi, Tingjian Zhang, Lunyiu Nie, Linmei Hu, Lei Hou, Juanzi Li

Comments ACL Findings 2024

GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives

Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo, Aida Mostafazadeh Davani, Alicia Parrish, Alex Taylor, Mark Díaz, Ding Wang, Gregory Serapio-García

Comments Presented as a long paper at NAACL 2024 main conference

Journal ref 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics

EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification

Huanhuan Ma, Weizhi Xu, Yifan Wei, Liuji Chen, Liang Wang, Qiang Liu, Shu Wu, Liang Wang

Comments ACL 2024 findings paper

Towards the TopMost: A Topic Modeling System Toolkit

Xiaobao Wu, Fengjun Pan, Anh Tuan Luu

Comments Accepted to ACL 2024 System Demonstrations Track

Language Complexity and Speech Recognition Accuracy: Orthographic Complexity Hurts, Phonological Complexity Doesn't

Chihiro Taguchi, David Chiang

Comments 11 pages, 5 figures, 5 tables, submitted to ACL 2024

Unlearning Traces the Influential Training Data of Language Models

Masaru Isonuma, Ivan Titov

Comments 14 pages, to appear in ACL2024 main conference (long paper)

Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?

Zhaochen Su, Juntao Li, Jun Zhang, Tong Zhu, Xiaoye Qu, Pan Zhou, Yan Bowen, Yu Cheng, Min zhang

Comments This paper has been accepted to the ACL 2024 main conference