ACL

Collaboration or Corporate Capture? Quantifying NLP's Reliance on Industry Artifacts and Contributions

Will Aitken, Mohamed Abdalla, Karen Rudie, Catherine Stinson

Comments ACL 2024 Main Conference

Prompt Optimization via Adversarial In-Context Learning

Xuan Long Do, Yiran Zhao, Hannah Brown, Yuxi Xie, James Xu Zhao, Nancy F. Chen, Kenji Kawaguchi, Michael Shieh, Junxian He

Comments ACL 2024

Reducing Privacy Risks in Online Self-Disclosures with Language Models

Yao Dou, Isadora Krsek, Tarek Naous, Anubha Kabra, Sauvik Das, Alan Ritter, Wei Xu

Comments Accepted at ACL 2024

ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs

Justin Chih-Yao Chen, Swarnadeep Saha, Mohit Bansal

Comments ACL 2024 (Camera-Ready)

SafetyBench: Evaluating the Safety of Large Language Models

Zhexin Zhang, Leqi Lei, Lindong Wu, Rui Sun, Yongkang Huang, Chong Long, Xiao Liu, Xuanyu Lei, Jie Tang, Minlie Huang

Comments ACL 2024 Main Conference

EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models

Peng Wang, Ningyu Zhang, Bozhong Tian, Zekun Xi, Yunzhi Yao, Ziwen Xu, Mengru Wang, Shengyu Mao, Xiaohan Wang, Siyuan Cheng, Kangwei Liu, Yuansheng Ni, Guozhou Zheng, Huajun Chen

Comments ACL 2024 System Demonstrations; Code: https://github.com/zjunlp/EasyEdit HF Demo: https://huggingface.co/spaces/zjunlp/EasyEdit Video: https://youtu.be/Gm6T0QaaskU Docs: https://zjunlp.gitbook.io/easyedit

Hybrid Alignment Training for Large Language Models

Chenglong Wang, Hang Zhou, Kaiyan Chang, Bei Li, Yongyu Mu, Tong Xiao, Tongran Liu, Jingbo Zhu

Comments accepted by ACL (Findings) 2024

DUAL-REFLECT: Enhancing Large Language Models for Reflective Translation through Dual Learning Feedback Mechanisms

Andong Chen, Lianzhang Lou, Kehai Chen, Xuefeng Bai, Yang Xiang, Muyun Yang, Tiejun Zhao, Min Zhang

Comments Accepted to ACL 2024 main conference

Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning

Everlyn Asiko Chimoto, Jay Gala, Orevaoghene Ahia, Julia Kreutzer, Bruce A. Bassett, Sara Hooker

Comments Accepted to ACL 2024 Findings

XNLP: An Interactive Demonstration System for Universal Structured NLP

Hao Fei, Meishan Zhang, Min Zhang, Tat-Seng Chua

Comments ACL 2024 Demonstration Paper

Co-training for Low Resource Scientific Natural Language Inference

Mobashir Sadat, Cornelia Caragea

Comments Accepted in ACL 2024 (main conference)

Unveiling the Spectrum of Data Contamination in Language Models: A Survey from Detection to Remediation

Chunyuan Deng, Yilun Zhao, Yuzhao Heng, Yitong Li, Jiannan Cao, Xiangru Tang, Arman Cohan

Comments ACL 2024 Camera-Ready Version

Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs

Siyuan Wang, Zhongyu Wei, Yejin Choi, Xiang Ren

Comments Accepted as a long paper to ACL 2024 Main

AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters

Li Lucy, Suchin Gururangan, Luca Soldaini, Emma Strubell, David Bamman, Lauren F. Klein, Jesse Dodge

Comments 28 pages, 13 figures. Association for Computational Linguistics (ACL) 2024

Empowering Multi-step Reasoning across Languages via Tree-of-Thoughts

Leonardo Ranaldi, Giulia Pucci, Federico Ranaldi, Elena Sofia Ruzzetti, Fabio Massimo Zanzotto

Comments Findings of the Association for Computational Linguistics: NAACL 2024

Journal ref 2024.findings-naacl.78

Black-Box Prompt Optimization: Aligning Large Language Models without Model Training

Jiale Cheng, Xiao Liu, Kehan Zheng, Pei Ke, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang

Comments Accepted to ACL 2024

The Role of Global and Local Context in Named Entity Recognition

Arthur Amalvy, Vincent Labatut, Richard Dufour

Comments Accepted to ACL2023

Journal ref 61st Annual Meeting of the Association for Computational Linguistics, 2023, p.714-722

A Data-Driven Guided Decoding Mechanism for Diagnostic Captioning

Panagiotis Kaliosis, John Pavlopoulos, Foivos Charalampakos, Georgios Moschovis, Ion Androutsopoulos

Comments [Pre-print] ACL Findings 2024, 17 pages, 7 figures, 7 tables

Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models

Dohyun Lee, Daniel Rim, Minseok Choi, Jaegul Choo

Comments Accepted to ACL2024 findings

AutoCAP: Towards Automatic Cross-lingual Alignment Planning for Zero-shot Chain-of-Thought

Yongheng Zhang, Qiguang Chen, Min Li, Wanxiang Che, Libo Qin

Comments Accepted by ACL2024 Findings

Reasoning Like a Doctor: Improving Medical Dialogue Systems via Diagnostic Reasoning Process Alignment

Kaishuai Xu, Yi Cheng, Wenjun Hou, Qiaoyu Tan, Wenjie Li

Comments Accepted by ACL 2024 Findings

Enhancing Distractor Generation for Multiple-Choice Questions with Retrieval Augmented Pretraining and Knowledge Graph Integration

Han-Cheng Yu, Yu-An Shih, Kin-Man Law, Kai-Yu Hsieh, Yu-Chen Cheng, Hsin-Chih Ho, Zih-An Lin, Wen-Chuan Hsu, Yao-Chung Fan

Comments Findings at ACL 2024

ManWav: The First Manchu ASR Model

Jean Seo, Minha Kang, Sungjoo Byun, Sangah Lee

Comments ACL2024/Field Matters

Symmetric Dot-Product Attention for Efficient Training of BERT Language Models

Martin Courtois, Malte Ostendorff, Leonhard Hennig, Georg Rehm

Comments to be published in Findings of the Association for Computational Linguistics: ACL 2024

Structured Tree Alignment for Evaluation of (Speech) Constituency Parsing

Freda Shi, Kevin Gimpel, Karen Livescu

Comments ACL 2024 camera-ready

LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs

Kai Wang, Yuwei Xu, Zhiyong Wu, Siqiang Luo

Comments Accepted by Findings of ACL2024

MapGPT: Map-Guided Prompting with Adaptive Path Planning for Vision-and-Language Navigation

Jiaqi Chen, Bingqian Lin, Ran Xu, Zhenhua Chai, Xiaodan Liang, Kwan-Yee K. Wong

Comments LLM/VLM-based VLN Agents. Accepted to ACL 2024. Project: https://chen-judge.github.io/MapGPT/

Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation

Jiaxin Bai, Yicheng Wang, Tianshi Zheng, Yue Guo, Xin Liu, Yangqiu Song

Comments Accepted by ACL 2024

CDEval: A Benchmark for Measuring the Cultural Dimensions of Large Language Models

Yuhang Wang, Yanxu Zhu, Chao Kong, Shuyu Wei, Xiaoyuan Yi, Xing Xie, Jitao Sang

Comments Accepted by the Cross-Cultural Considerations in NLP Workshop @ ACL 2024

All Languages Matter: On the Multilingual Safety of Large Language Models

Wenxuan Wang, Zhaopeng Tu, Chang Chen, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, Michael R. Lyu

Comments Accepted by ACL 2024 Findings. The first multilingual safety benchmark for large language models