ACL

Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning

Jingbiao Mei, Jinghong Chen, Weizhe Lin, Bill Byrne, Marcus Tomalin

Comments ACL 2024 Main. The code is available from: https://github.com/JingbiaoMei/RGCL

ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models

Haoran Luo, Haihong E, Zichen Tang, Shiyao Peng, Yikai Guo, Wentai Zhang, Chenghao Ma, Guanting Dong, Meina Song, Wei Lin, Yifan Zhu, Luu Anh Tuan

Comments Accepted by Findings of ACL 2024

Journal ref ACL 2024

GraphLSS: Integrating Lexical, Structural, and Semantic Features for Long Document Extractive Summarization

Margarita Bugueño, Hazem Abou Hamdan, Gerard de Melo

Comments Short paper submitted to ACL ARR November cycle

It Is Not About What You Say, It Is About How You Say It: A Surprisingly Simple Approach for Improving Reading Comprehension

Sagi Shaier, Lawrence E Hunter, Katharina von der Wense

Comments Accepted to ACL Findings

Empowering Cross-lingual Abilities of Instruction-tuned Large Language Models by Translation-following demonstrations

Leonardo Ranaldi, Giulia Pucci, Andre Freitas

Journal ref 2024.findings-acl.473

Frustratingly Easy Label Projection for Cross-lingual Transfer

Yang Chen, Chao Jiang, Alan Ritter, Wei Xu

Comments This paper has been accepted at Findings of ACL 2023

Raccoon: Prompt Extraction Benchmark of LLM-Integrated Applications

Junlin Wang, Tianyi Yang, Roy Xie, Bhuwan Dhingra

Comments ACL 2024 Findings

README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP

Zonghai Yao, Nandyala Siddharth Kantu, Guanghao Wei, Hieu Tran, Zhangqi Duan, Sunjae Kwon, Zhichao Yang, README annotation team, Hong Yu

Comments To appear in Findings of the Association for Computational Linguistics: EMNLP 2024. We sincerely appreciate the tremendous efforts of the entire README annotation team throughout the expert annotation process of the README dataset

Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization

George Chrysostomou, Zhixue Zhao, Miles Williams, Nikolaos Aletras

Comments TACL 2024 (Presented at EMNLP 2024)

Journal ref Transactions of the Association for Computational Linguistics (2024) 12: 1163-1181

Many-to-English Machine Translation Tools, Data, and Pretrained Models

Thamme Gowda, Zhao Zhang, Chris A Mattmann, Jonathan May

Comments To-appear: ACL 2021 System Demonstrations

Token-wise Influential Training Data Retrieval for Large Language Models

Huawei Lin, Jikai Long, Zhaozhuo Xu, Weijie Zhao

Comments Accepted to ACL 2024. Keywords: Influence Function, Influence Estimation, Training Data Attribution

Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections

Maria Leonor Pacheco, Tunazzina Islam, Lyle Ungar, Ming Yin, Dan Goldwasser

Comments Accepted to Findings of ACL: ACL 2023

1024m at SMM4H 2024: Tasks 3, 5 & 6 -- Ensembles of Transformers and Large Language Models for Medical Text Classification

Ram Mohan Rao Kadiyala, M. V. P. Chandra Sekhara Rao

Comments short paper , acl 2024

Large Language Models for Cross-lingual Emotion Detection

Ram Mohan Rao Kadiyala

Comments 6 pages , accepted to acl 2024

Toward Robust RALMs: Revealing the Impact of Imperfect Retrieval on Retrieval-Augmented Language Models

Seong-Il Park, Jay-Yoon Lee

Comments Accepted for publication in Transactions of the Association for Computational Linguistics (TACL)

A Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Speech Translation

Zhengrui Ma, Qingkai Fang, Shaolei Zhang, Shoutao Guo, Yang Feng, Min Zhang

Comments ACL 2024; Codes and demos are at https://github.com/ictnlp/NAST-S2x

Generating Signed Language Instructions in Large-Scale Dialogue Systems

Mert İnan, Katherine Atwell, Anthony Sicilia, Lorna Quandt, Malihe Alikhani

Comments 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024) Industry Track

A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus

Eduard Poesina, Cornelia Caragea, Radu Tudor Ionescu

Comments Accepted at ACL 2024 (Main)

LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding

Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, Basil Hosmer, Bram Wasti, Liangzhen Lai, Anas Mahmoud, Bilge Acun, Saurabh Agarwal, Ahmed Roman, Ahmed A Aly, Beidi Chen, Carole-Jean Wu

Comments ACL 2024

Framing in the Presence of Supporting Data: A Case Study in U.S. Economic News

Alexandria Leto, Elliot Pickens, Coen D. Needell, David Rothschild, Maria Leonor Pacheco

Comments published in ACL 2024; total pages: 19; main body pages: 8; total figures: 19

WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models

Virginia K. Felkner, Ho-Chun Herbert Chang, Eugene Jang, Jonathan May

Comments Accepted to ACL 2023 (main conference). This version corrects a bug found in evaluation code after publication. General findings have not changed, but tables 5 and 6 and figure 1 have been corrected

I run as fast as a rabbit, can you? A Multilingual Simile Dialogue Dataset

Longxuan Ma, Weinan Zhang, Shuhan Zhou, Churui Sun, Changxin Ke, Ting Liu

Comments 13 Pages, 1 Figure, 12 Tables, ACL 2023 findings

Improving Bilingual Lexicon Induction with Cross-Encoder Reranking

Yaoyiran Li, Fangyu Liu, Ivan Vulić, Anna Korhonen

Comments Findings of EMNLP 2022

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2022, pages 4100-4116

Modeling Intensification for Sign Language Generation: A Computational Approach

Mert İnan, Yang Zhong, Sabit Hassan, Lorna Quandt, Malihe Alikhani

Comments 15 pages, Findings of the Association for Computational Linguistics: ACL 2022

Journal ref https://aclanthology.org/2022.findings-acl.228

Improving Word Translation via Two-Stage Contrastive Learning

Yaoyiran Li, Fangyu Liu, Nigel Collier, Anna Korhonen, Ivan Vulić

Comments ACL 2022 Main

Journal ref Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022 ,pages 4353-4374

Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs

Naihao Deng, Zhenjie Sun, Ruiqi He, Aman Sikka, Yulong Chen, Lin Ma, Yue Zhang, Rada Mihalcea

Comments Accepted to ACL 2024 Findings; Naihao and Zhenjie contributed equally to the project; Data available at: https://github.com/dnaihao/Tables-as-Texts-or-Images

Parsing Akkadian Verbs with Prolog

Aaron Macks

Comments 6 pages, 9 figures, presented at ACL-02 the Association of Computational Linguistics, 2002

Continual Dialogue State Tracking via Reason-of-Select Distillation

Yujie Feng, Bo Liu, Xiaoyu Dong, Zexin Lu, Li-Ming Zhan, Albert Y. S. Lam, Xiao-Ming Wu

Comments Accepted to ACL 2024 Findings

Beyond Demographics: Aligning Role-playing LLM-based Agents Using Human Belief Networks

Yun-Shiuan Chuang, Krirk Nirunwiroj, Zach Studdiford, Agam Goyal, Vincent V. Frigo, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers

Journal ref Findings of the Association for Computational Linguistics (ACL): EMNLP 2024

Causal Estimation of Memorisation Profiles

Pietro Lesci, Clara Meister, Thomas Hofmann, Andreas Vlachos, Tiago Pimentel

Comments Published at the ACL 2024 Conference (main)

Journal ref Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2024)