ACL

Multimodal Reasoning with Multimodal Knowledge Graph

Junlin Lee, Yequan Wang, Jing Li, Min Zhang

Comments Accepted by ACL 2024 (Main Conference)

Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking

Zefeng Zhang, Jiawei Sheng, Chuang Zhang, Yunzhi Liang, Wenyuan Zhang, Siqi Wang, Tingwen Liu

Comments Findings of ACL 2024

CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Models

Qian Lou, Xin Liang, Jiaqi Xue, Yancheng Zhang, Rui Xie, Mengxin Zheng

Comments Accepted by ACL Findings 2024

PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference

Dongjie Yang, XiaoDong Han, Yan Gao, Yao Hu, Shilin Zhang, Hai Zhao

Comments Accepted by ACL 2024

BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering

Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam, Dong-Kyu Chae

Comments 7 pages, 3 figures. Accepted to LREC-COLING 2024. Read in ACL Anthology: https://aclanthology.org/2024.lrec-main.189/

Journal ref The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)

Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding

Xintong Wang, Jingheng Pan, Liang Ding, Chris Biemann

Comments Accepted to Findings of ACL 2024

Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient

Mingxin Li, Richong Zhang, Zhijie Nie

Comments Accepted at ACL 2024 Main Conference

TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space

Shaolei Zhang, Tian Yu, Yang Feng

Comments Accepted to ACL 2024 main conference, Project Page: https://ictnlp.github.io/TruthX-site/

Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models

Paul Röttger, Valentin Hofmann, Valentina Pyatkin, Musashi Hinck, Hannah Rose Kirk, Hinrich Schütze, Dirk Hovy

Comments Accepted at ACL 2024 (Main Conference)

RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering

Zihan Zhang, Meng Fang, Ling Chen

Comments Findings of ACL 2024

Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies

Nitesh Kumar, Usashi Chatterjee, Steven Schockaert

Comments Accepted in ACL 2024 (Findings)

Analysis of Multi-Source Language Training in Cross-Lingual Transfer

Seong Hoon Lim, Taejun Yun, Jinhyeon Kim, Jihun Choi, Taeuk Kim

Comments Accepted to ACL 2024

Learning to Edit: Aligning LLMs with Knowledge Editing

Yuxin Jiang, Yufei Wang, Chuhan Wu, Wanjun Zhong, Xingshan Zeng, Jiahui Gao, Liangyou Li, Xin Jiang, Lifeng Shang, Ruiming Tang, Qun Liu, Wei Wang

Comments 17 pages, 8 figures, 9 tables. ACL 2024 main camera-ready version

FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence

Sebastian Antony Joseph, Lily Chen, Jan Trienes, Hannah Louisa Göke, Monika Coers, Wei Xu, Byron C Wallace, Junyi Jessy Li

Comments Preprint has been updated to match the final revision for ACL 2024

WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing

Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao

Comments To be published in ACL Findings 2024

Towards Safer Large Language Models through Machine Unlearning

Zheyuan Liu, Guangyao Dou, Zhaoxuan Tan, Yijun Tian, Meng Jiang

Comments Accepted by ACL 2024 Findings

Self-Augmented In-Context Learning for Unsupervised Word Translation

Yaoyiran Li, Anna Korhonen, Ivan Vulić

Comments ACL 2024 Main Conference; 11 Pages, 3 Figures, 9 Tables

The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse

Wanli Yang, Fei Sun, Xinyu Ma, Xun Liu, Dawei Yin, Xueqi Cheng

Comments Accepted at Findings of ACL 2024

PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers

Weizhe Lin, Jingbiao Mei, Jinghong Chen, Bill Byrne

Comments ACL 2024; Project page: https://preflmr.github.io/

An Empirical Study of In-context Learning in LLMs for Machine Translation

Pranjal A. Chitale, Jay Gala, Raj Dabre

Comments Accepted to ACL 2024 Findings

The Unreasonable Effectiveness of Easy Training Data for Hard Tasks

Peter Hase, Mohit Bansal, Peter Clark, Sarah Wiegreffe

Comments ACL 2024. 23 pages, 20 figures

Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning

Kaiyi Zhang, Ang Lv, Yuhan Chen, Hansen Ha, Tao Xu, Rui Yan

Comments This paper has been accepted by ACL 2024 (Findings)

Experiential Co-Learning of Software-Developing Agents

Chen Qian, Yufan Dang, Jiahao Li, Wei Liu, Zihao Xie, Yifei Wang, Weize Chen, Cheng Yang, Xin Cong, Xiaoyin Che, Zhiyuan Liu, Maosong Sun

Comments Accepted to ACL 2024, https://github.com/OpenBMB/ChatDev

Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination

Nakyeong Yang, Taegwan Kang, Jungkyu Choi, Honglak Lee, Kyomin Jung

Comments accepted to ACL 2024

FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models

Yuxin Jiang, Yufei Wang, Xingshan Zeng, Wanjun Zhong, Liangyou Li, Fei Mi, Lifeng Shang, Xin Jiang, Qun Liu, Wei Wang

Comments 22 pages, 11 figures, 16 tables. ACL 2024 main camera-ready version

Forward-Backward Reasoning in Large Language Models for Mathematical Verification

Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok

Comments Accepted by Findings of ACL 2024

ChatDev: Communicative Agents for Software Development

Chen Qian, Wei Liu, Hongzhang Liu, Nuo Chen, Yufan Dang, Jiahao Li, Cheng Yang, Weize Chen, Yusheng Su, Xin Cong, Juyuan Xu, Dahai Li, Zhiyuan Liu, Maosong Sun

Comments Accepted to ACL 2024; https://github.com/OpenBMB/ChatDev

Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models

Qingyu Lu, Baopu Qiu, Liang Ding, Kanjian Zhang, Tom Kocmi, Dacheng Tao

Comments Findings of ACL 2024

EIT: Enhanced Interactive Transformer

Tong Zheng, Bei Li, Huiwen Bao, Tong Xiao, Jingbo Zhu

Comments Accepted by ACL2024 Main

Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding

Zhihan Zhang, Yixin Cao, Chenchen Ye, Yunshan Ma, Lizi Liao, Tat-Seng Chua

Comments Accepted to ACL 2024