ACL

SymTax: Symbiotic Relationship and Taxonomy Fusion for Effective Citation Recommendation

Karan Goyal, Mayank Goel, Vikram Goyal, Mukesh Mohania

Comments Accepted in ACL 2024

Layer-Condensed KV Cache for Efficient Inference of Large Language Models

Haoyi Wu, Kewei Tu

Comments Accepted to ACL2024 main conference

M$^3$AV: A Multimodal, Multigenre, and Multipurpose Audio-Visual Academic Lecture Dataset

Zhe Chen, Heyang Liu, Wenyi Yu, Guangzhi Sun, Hongcheng Liu, Ji Wu, Chao Zhang, Yu Wang, Yanfeng Wang

Comments ACL 2024 Main Conference. Project website: https://jack-zc8.github.io/M3AV-dataset-page

Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains

Vilém Zouhar, Shuoyang Ding, Anna Currey, Tatyana Badeka, Jenyuan Wang, Brian Thompson

Comments Accepted at ACL 2024

Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models?

Ning Bian, Xianpei Han, Hongyu Lin, Yaojie Lu, Ben He, Le Sun

Comments Accepted to ACL 2024

Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions

Liyan Xu, Jiangnan Li, Mo Yu, Jie Zhou

Comments Accepted to ACL 2024

ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance Labeling

Lingxi Zhang, Yue Yu, Kuan Wang, Chao Zhang

Comments ACL 2024

Journal ref ACL 2024

PAT-Questions: A Self-Updating Benchmark for Present-Anchored Temporal Question-Answering

Jannat Ara Meem, Muhammad Shihab Rashid, Yue Dong, Vagelis Hristidis

Comments Accepted to Findings of ACL '24

Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation

Haonan Chen, Zhicheng Dou, Kelong Mao, Jiongnan Liu, Ziliang Zhao

Comments ACL 2024

Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use

Yuhan Chen, Ang Lv, Ting-En Lin, Changyu Chen, Yuchuan Wu, Fei Huang, Yongbin Li, Rui Yan

Comments ACL 2024 main

Competition-Level Problems are Effective LLM Evaluators

Yiming Huang, Zhenghao Lin, Xiao Liu, Yeyun Gong, Shuai Lu, Fangyu Lei, Yaobo Liang, Yelong Shen, Chen Lin, Nan Duan, Weizhu Chen

Comments ACL 2024

Iterative Forward Tuning Boosts In-Context Learning in Language Models

Jiaxi Yang, Binyuan Hui, Min Yang, Bailin Wang, Bowen Li, Binhua Li, Fei Huang, Yongbin Li

Comments 14 pages, 6 figures, ACL 2024

Probing Language Models for Pre-training Data Detection

Zhenhua Liu, Tong Zhu, Chuanyuan Tan, Haonan Lu, Bing Liu, Wenliang Chen

Comments Accepted by ACL-2024 main conference

Unsupervised Distractor Generation via Large Language Model Distilling and Counterfactual Contrastive Decoding

Fanyi Qu, Hao Sun, Yunfang Wu

Comments Accepted as a long paper in ACL 2024 findings

Demonstration Augmentation for Zero-shot In-context Learning

Yi Su, Yunpeng Tai, Yixin Ji, Juntao Li, Bowen Yan, Min Zhang

Comments Accepted to ACL 2024 Findings

Selectively Answering Visual Questions

Julian Martin Eisenschlos, Hernán Maina, Guido Ivetta, Luciana Benotti

Comments To be published in the findings of the 2024 Annual Meeting of the Association for Computational Linguistics

The Power of Summary-Source Alignments

Ori Ernst, Ori Shapira, Aviv Slobodkin, Sharon Adar, Mohit Bansal, Jacob Goldberger, Ran Levy, Ido Dagan

Comments Accepted to ACL-Findings 2024

FOCUS: Forging Originality through Contrastive Use in Self-Plagiarism for Language Models

Kaixin Lan, Tao Fang, Derek F. Wong, Yabo Xu, Lidia S. Chao, Cecilia G. Zhao

Comments 16 pages, 8 figures. The paper has been accepted by ACL 2024 (Findings), with Kaixin Lan and Tao Fang contributing equally, and Derek F. Wong serving as the corresponding author

Picturing Ambiguity: A Visual Twist on the Winograd Schema Challenge

Brendan Park, Madeline Janecek, Naser Ezzati-Jivan, Yifeng Li, Ali Emami

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

Subtle Biases Need Subtler Measures: Dual Metrics for Evaluating Representative and Affinity Bias in Large Language Models

Abhishek Kumar, Sarfaroz Yunusov, Ali Emami

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

Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs

Bilgehan Sel, Priya Shanmugasundaram, Mohammad Kachuee, Kun Zhou, Ruoxi Jia, Ming Jin

Comments ACL 2024, long paper

Feature-Adaptive and Data-Scalable In-Context Learning

Jiahao Li, Quan Wang, Licheng Zhang, Guoqing Jin, Zhendong Mao

Comments Accepted at ACL 2024 main conference

CACL: Community-Aware Heterogeneous Graph Contrastive Learning for Social Media Bot Detection

Sirry Chen, Shuo Feng, Songsong Liang, Chen-Chen Zong, Jing Li, Piji Li

Comments Accepted by ACL 2024 findings

MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning

Inderjeet Nair, Lu Wang

Comments Accepted at ACL 2024(main)

Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation

Tianqi Zhong, Zhaoyi Li, Quan Wang, Linqi Song, Ying Wei, Defu Lian, Zhendong Mao

Comments Accepted to ACL 2024 (Main); 32 pages

Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models

Lei Li, Yuqi Wang, Runxin Xu, Peiyi Wang, Xiachong Feng, Lingpeng Kong, Qi Liu

Comments Project page: https://mm-arxiv.github.io, Camera Ready Version of ACL 2024

Here's a Free Lunch: Sanitizing Backdoored Models with Model Merge

Ansh Arora, Xuanli He, Maximilian Mozes, Srinibas Swain, Mark Dras, Qiongkai Xu

Comments accepted to ACL2024 (Findings)

KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models

Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang

Comments Accepted to ACL 2024 (main conference); 19 pages, 5 figures, 19 tables, code is available at: https://github.com/zhuohaoyu/KIEval

Comparing Inferential Strategies of Humans and Large Language Models in Deductive Reasoning

Philipp Mondorf, Barbara Plank

Comments ACL 2024 main, 31 pages, 19 figures

Balanced Data Sampling for Language Model Training with Clustering

Yunfan Shao, Linyang Li, Zhaoye Fei, Hang Yan, Dahua Lin, Xipeng Qiu

Comments ACL 2024 (findings), Code is released at https://github.com/choosewhatulike/cluster-clip