ACL

Generalisation First, Memorisation Second? Memorisation Localisation for Natural Language Classification Tasks

Verna Dankers, Ivan Titov

Comments Published in ACL Findings 2024; 19 pages total (9 in the main paper, 4 pages with limitations, acknowledgments and references, 6 pages with appendices)

PLUGH: A Benchmark for Spatial Understanding and Reasoning in Large Language Models

Alexey Tikhonov

Comments Wordplay Workshop @ ACL 2024

HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position

Kechi Zhang, Ge Li, Huangzhao Zhang, Zhi Jin

Comments Camera Ready version for ACL 2024 (main)

What Evidence Do Language Models Find Convincing?

Alexander Wan, Eric Wallace, Dan Klein

Comments ACL 2024 (Main)

CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges

Kechi Zhang, Jia Li, Ge Li, Xianjie Shi, Zhi Jin

Comments Camera Ready version for ACL 2024 (main)

DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Long and Specialized Documents

Yilun Zhao, Yitao Long, Hongjun Liu, Ryo Kamoi, Linyong Nan, Lyuhao Chen, Yixin Liu, Xiangru Tang, Rui Zhang, Arman Cohan

Comments ACL 2024 Oral

Learning Fine-Grained Grounded Citations for Attributed Large Language Models

Lei Huang, Xiaocheng Feng, Weitao Ma, Yuxuan Gu, Weihong Zhong, Xiachong Feng, Weijiang Yu, Weihua Peng, Duyu Tang, Dandan Tu, Bing Qin

Comments Accepted by ACL 2024 Findings

Compromesso! Italian Many-Shot Jailbreaks Undermine the Safety of Large Language Models

Fabio Pernisi, Dirk Hovy, Paul Röttger

Comments Accepted at ACL 2024 (Student Research Workshop)

Enhancing Robustness of Retrieval-Augmented Language Models with In-Context Learning

Seong-Il Park, Seung-Woo Choi, Na-Hyun Kim, Jay-Yoon Lee

Comments 10 pages, 2 figures

Journal ref KnowledgeNLP@ACL 2024

Exploring Reasoning Biases in Large Language Models Through Syllogism: Insights from the NeuBAROCO Dataset

Kentaro Ozeki, Risako Ando, Takanobu Morishita, Hirohiko Abe, Koji Mineshima, Mitsuhiro Okada

Comments To appear in Findings of the Association for Computational Linguistics: ACL 2024

Explicating the Implicit: Argument Detection Beyond Sentence Boundaries

Paul Roit, Aviv Slobodkin, Eran Hirsch, Arie Cattan, Ayal Klein, Valentina Pyatkin, Ido Dagan

Comments 9 pages, ACL 2024

Diffusion Guided Language Modeling

Justin Lovelace, Varsha Kishore, Yiwei Chen, Kilian Q. Weinberger

Comments ACL Findings 2024

Simplifying Translations for Children: Iterative Simplification Considering Age of Acquisition with LLMs

Masashi Oshika, Makoto Morishita, Tsutomu Hirao, Ryohei Sasano, Koichi Takeda

Comments Findings of ACL 2024

Can Rule-Based Insights Enhance LLMs for Radiology Report Classification? Introducing the RadPrompt Methodology

Panagiotis Fytas, Anna Breger, Ian Selby, Simon Baker, Shahab Shahipasand, Anna Korhonen

Comments Accepted at BioNLP, ACL 2024

Human Speech Perception in Noise: Can Large Language Models Paraphrase to Improve It?

Anupama Chingacham, Miaoran Zhang, Vera Demberg, Dietrich Klakow

Comments Accepted at HuCLLM @ ACL 2024

NACL: A General and Effective KV Cache Eviction Framework for LLMs at Inference Time

Yilong Chen, Guoxia Wang, Junyuan Shang, Shiyao Cui, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun, Dianhai Yu, Hua Wu

Comments Accepted by ACL 2024 (main conference, long paper)

PAGED: A Benchmark for Procedural Graphs Extraction from Documents

Weihong Du, Wenrui Liao, Hongru Liang, Wenqiang Lei

Comments Accepted to The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)

Cross-domain Named Entity Recognition via Graph Matching

Junhao Zheng, Haibin Chen, Qianli Ma

Comments Findings of ACL; available at Findings 2022 https://aclanthology.org/2022.findings-acl.210/; Improve presentation

Tell Me What's Next: Textual Foresight for Generic UI Representations

Andrea Burns, Kate Saenko, Bryan A. Plummer

Comments Accepted to ACL 2024 Findings. Data and code to be released at https://github.com/aburns4/textualforesight

IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages

Harman Singh, Nitish Gupta, Shikhar Bharadwaj, Dinesh Tewari, Partha Talukdar

Comments ACL 2024

MediSwift: Efficient Sparse Pre-trained Biomedical Language Models

Vithursan Thangarasa, Mahmoud Salem, Shreyas Saxena, Kevin Leong, Joel Hestness, Sean Lie

Comments 14 pages, 2 Figures, 5 Tables (Main Paper) + 3 pages (Supplementary Material). Published at ACL 2024

Towards Privacy-Aware Sign Language Translation at Scale

Phillip Rust, Bowen Shi, Skyler Wang, Necati Cihan Camgöz, Jean Maillard

Comments ACL 2024

Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models

Junhao Zheng, Shengjie Qiu, Qianli Ma

Comments ACL 2024 main conference (Oral)

FinanceMath: Knowledge-Intensive Math Reasoning in Finance Domains

Yilun Zhao, Hongjun Liu, Yitao Long, Rui Zhang, Chen Zhao, Arman Cohan

Comments ACL 2024 Oral

LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction

Hanzhang Zhou, Junlang Qian, Zijian Feng, Hui Lu, Zixiao Zhu, Kezhi Mao

Comments Accepted to ACL 2024

Functional Overlap Reranking for Neural Code Generation

Hung Quoc To, Minh Huynh Nguyen, Nghi D. Q. Bui

Comments ACL 2024, Long Findings

LLM Performance Predictors are good initializers for Architecture Search

Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Dujian Ding

Comments ACL 2024 Findings

Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts

Ganesh Jawahar, Haichuan Yang, Yunyang Xiong, Zechun Liu, Dilin Wang, Fei Sun, Meng Li, Aasish Pappu, Barlas Oguz, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Raghuraman Krishnamoorthi, Vikas Chandra

Comments ACL 2024 Findings

MoExtend: Tuning New Experts for Modality and Task Extension

Shanshan Zhong, Shanghua Gao, Zhongzhan Huang, Wushao Wen, Marinka Zitnik, Pan Zhou

Comments ACL 2024 - SRW

StructEval: Deepen and Broaden Large Language Model Assessment via Structured Evaluation

Boxi Cao, Mengjie Ren, Hongyu Lin, Xianpei Han, Feng Zhang, Junfeng Zhan, Le Sun

Comments ACL 2024;Benchmark at https://github.com/c-box/StructEval ;Leaderboard at https://huggingface.co/spaces/Bowieee/StructEval_leaderboard