ACL

COKE: A Cognitive Knowledge Graph for Machine Theory of Mind

Jincenzi Wu, Zhuang Chen, Jiawen Deng, Sahand Sabour, Helen Meng, Minlie Huang

Comments ACL 2024

SBAAM! Eliminating Transcript Dependency in Automatic Subtitling

Marco Gaido, Sara Papi, Matteo Negri, Mauro Cettolo, Luisa Bentivogli

Comments Accepted to ACL 2024 main conference

GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving

Jiaxin Zhang, Zhongzhi Li, Mingliang Zhang, Fei Yin, Chenglin Liu, Yashar Moshfeghi

Comments Accepted in ACL 2024 Findings

EasyGen: Easing Multimodal Generation with BiDiffuser and LLMs

Xiangyu Zhao, Bo Liu, Qijiong Liu, Guangyuan Shi, Xiao-Ming Wu

Comments Accepted by ACL 2024, main conference

ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale

Markus Frohmann, Carolin Holtermann, Shahed Masoudian, Anne Lauscher, Navid Rekabsaz

Comments Accepted to Findings of the ACL: ACL 2024

Benchmarking Large Language Models on CFLUE -- A Chinese Financial Language Understanding Evaluation Dataset

Jie Zhu, Junhui Li, Yalong Wen, Lifan Guo

Comments Accepted by ACL 2024

Journal ref The 62nd Annual Meeting of the Association for Computational Linguistics(ACL),2024

A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models

Zihao Xu, Yi Liu, Gelei Deng, Yuekang Li, Stjepan Picek

Comments 18 pages, 9 figures, Accepted in ACL 2024

Are self-explanations from Large Language Models faithful?

Andreas Madsen, Sarath Chandar, Siva Reddy

Comments The 62nd Annual Meeting of the Association for Computational Linguistics

Temporal Knowledge Question Answering via Abstract Reasoning Induction

Ziyang Chen, Dongfang Li, Xiang Zhao, Baotian Hu, Min Zhang

Comments Accepted by ACL 2024. 17 pages, 10 figures

ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base

Siyu Yuan, Jiangjie Chen, Changzhi Sun, Jiaqing Liang, Yanghua Xiao, Deqing Yang

Comments Accepted to ACL 2024

Listen Again and Choose the Right Answer: A New Paradigm for Automatic Speech Recognition with Large Language Models

Yuchen Hu, Chen Chen, Chengwei Qin, Qiushi Zhu, Eng Siong Chng, Ruizhe Li

Comments 14 pages, Accepted by ACL 2024

GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators

Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Ruizhe Li, Dong Zhang, Zhehuai Chen, Eng Siong Chng

Comments 18 pages, Accepted by ACL 2024. This work is open sourced at: https://github.com/YUCHEN005/GenTranslate

Sowing the Wind, Reaping the Whirlwind: The Impact of Editing Language Models

Rima Hazra, Sayan Layek, Somnath Banerjee, Soujanya Poria

Comments Accepted at ACL 2024

PACE: Improving Prompt with Actor-Critic Editing for Large Language Model

Yihong Dong, Kangcheng Luo, Xue Jiang, Zhi Jin, Ge Li

Comments Accepted to ACL

Parameter-Efficient Instruction Tuning of Large Language Models For Extreme Financial Numeral Labelling

Subhendu Khatuya, Rajdeep Mukherjee, Akash Ghosh, Manjunath Hegde, Koustuv Dasgupta, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal

Comments This work has been accepted to appear at North American Chapter of the Association for Computational Linguistics (NAACL), 2024

Tailoring Instructions to Student's Learning Levels Boosts Knowledge Distillation

Yuxin Ren, Zihan Zhong, Xingjian Shi, Yi Zhu, Chun Yuan, Mu Li

Comments Accepted at ACL 2023, main conference. Code available at https://github.com/twinkle0331/LGTM

Dubbing in Practice: A Large Scale Study of Human Localization With Insights for Automatic Dubbing

William Brannon, Yogesh Virkar, Brian Thompson

Comments Accepted at TACL. pre-MIT Press publication version

Journal ref Transactions of ACL, vol. 11, pp. 419-435 (2023)

SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models

Raghuveer Peri, Sai Muralidhar Jayanthi, Srikanth Ronanki, Anshu Bhatia, Karel Mundnich, Saket Dingliwal, Nilaksh Das, Zejiang Hou, Goeric Huybrechts, Srikanth Vishnubhotla, Daniel Garcia-Romero, Sundararajan Srinivasan, Kyu J Han, Katrin Kirchhoff

Comments 9+6 pages, Submitted to ACL 2024

Log-linear Guardedness and its Implications

Shauli Ravfogel, Yoav Goldberg, Ryan Cotterell

Comments Accepted as a long paper in ACL 2023

Next Visit Diagnosis Prediction via Medical Code-Centric Multimodal Contrastive EHR Modelling with Hierarchical Regularisation

Heejoon Koo

Comments Accepted to EACL 2024 (The 18th Conference of the European Chapter of the Association for Computational Linguistics)

DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises

Jiasheng Ye, Zaixiang Zheng, Yu Bao, Lihua Qian, Mingxuan Wang

Comments camera-ready version, accepted by Transaction of ACL (TACL)

Does mBERT understand Romansh? Evaluating word embeddings using word alignment

Eyal Liron Dolev

Journal ref In Proceedings of the 8th edition of the Swiss Text Analytics Conference, 2023, pages 41-53, Neuchatel, Switzerland. Association for Computational Linguistics

Deferred NAM: Low-latency Top-K Context Injection via Deferred Context Encoding for Non-Streaming ASR

Zelin Wu, Gan Song, Christopher Li, Pat Rondon, Zhong Meng, Xavier Velez, Weiran Wang, Diamantino Caseiro, Golan Pundak, Tsendsuren Munkhdalai, Angad Chandorkar, Rohit Prabhavalkar

Comments 9 pages, 3 figures, accepted by NAACL 2024 - Industry Track

Journal ref 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics - Industry Track

Visual Grounding Methods for VQA are Working for the Wrong Reasons!

Robik Shrestha, Kushal Kafle, Christopher Kanan

Comments Published in ACL 2020 under the title "A negative case analysis of visual grounding methods for VQA"

Threat Behavior Textual Search by Attention Graph Isomorphism

Chanwoo Bae, Guanhong Tao, Zhuo Zhang, Xiangyu Zhang

Journal ref Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). 2024

Shears: Unstructured Sparsity with Neural Low-rank Adapter Search

J. Pablo Muñoz, Jinjie Yuan, Nilesh Jain

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

Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step

Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang, Yejin Choi

Comments ACL 2023

Language of Bargaining

Mourad Heddaya, Solomon Dworkin, Chenhao Tan, Rob Voigt, Alexander Zentefis

Comments ACL 2023 Main Conference

Journal ref Association for Computational Linguistics (2023, Volume 1: Long Papers) pp 13161-13185

The Effect of Data Partitioning Strategy on Model Generalizability: A Case Study of Morphological Segmentation

Zoey Liu, Bonnie J. Dorr

Comments Accepted to 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (16 pages including 9 tables and 1 figure)

TLDR at SemEval-2024 Task 2: T5-generated clinical-Language summaries for DeBERTa Report Analysis

Spandan Das, Vinay Samuel, Shahriar Noroozizadeh

Journal ref In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 507-516, Mexico City, Mexico. Association for Computational Linguistics