ACL

AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets

Pietro Lesci, Andreas Vlachos

Comments Published at the NAACL 2024 Conference (main)

Journal ref Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) (2024)

Diable: Efficient Dialogue State Tracking as Operations on Tables

Pietro Lesci, Yoshinari Fujinuma, Momchil Hardalov, Chao Shang, Yassine Benajiba, Lluis Marquez

Comments Accepted to ACL 2023 (Findings)

Journal ref Findings of the Association for Computational Linguistics: ACL 2023

TAMS: Translation-Assisted Morphological Segmentation

Enora Rice, Ali Marashian, Luke Gessler, Alexis Palmer, Katharina von der Wense

Comments Submitted to ACL ARR on December 15th 2023

Diverse Perspectives, Divergent Models: Cross-Cultural Evaluation of Depression Detection on Twitter

Nuredin Ali, Charles Chuankai Zhang, Ned Mayo, Stevie Chancellor

Comments 6 pages, 2 figures, NAACL 2024 Main Conference

Journal ref 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)

Generalized Measures of Anticipation and Responsivity in Online Language Processing

Mario Giulianelli, Andreas Opedal, Ryan Cotterell

Comments Findings of the Association for Computational Linguistics: EMNLP 2024

Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning

Jiachun Li, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao

Comments Accepted as a long paper to ACL 2024 Main, 25 pages, 22 figures

Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data

Xinzhe Li, Ming Liu, Shang Gao

Journal ref ACL2023 Third Workshop on Trustworthy Natural Language Processing

Can Pretrained Language Models Derive Correct Semantics from Corrupt Subwords under Noise?

Xinzhe Li, Ming Liu, Shang Gao

Journal ref SEM2023 Co-located with ACL 2023

Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation

Wen Wu, Bo Li, Chao Zhang, Chung-Cheng Chiu, Qiujia Li, Junwen Bai, Tara N. Sainath, Philip C. Woodland

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

Adapting Large Language Models for Document-Level Machine Translation

Minghao Wu, Thuy-Trang Vu, Lizhen Qu, George Foster, Gholamreza Haffari

Comments 25 pages, 18 tables, 7 figures; ARR Feb 2024, 4/3/2, meta 2, rejected by ACL2024; ARR June 2024, 4.5/3/2, meta 3, rejected by EMNLP2024;

NatLogAttack: A Framework for Attacking Natural Language Inference Models with Natural Logic

Zi'ou Zheng, Xiaodan Zhu

Comments Published as a conference paper at ACL 2023

Automatic Summarization of Long Documents

Naman Chhibbar, Jugal Kalita

Comments 9 pages (including bibliography) with 6 figures. ACL 2023 proceedings format

Exploiting Positional Bias for Query-Agnostic Generative Content in Search

Andrew Parry, Sean MacAvaney, Debasis Ganguly

Comments 8 pages, 4 main figures, 7 appendix pages, 2 appendix figures, Accepted to ACL 2024 Findings

Large Language Models Can Learn Temporal Reasoning

Siheng Xiong, Ali Payani, Ramana Kompella, Faramarz Fekri

Comments ACL24 (main)

UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation

Xun Liang, Shichao Song, Simin Niu, Zhiyu Li, Feiyu Xiong, Bo Tang, Yezhaohui Wang, Dawei He, Peng Cheng, Zhonghao Wang, Haiying Deng

Comments Accepted by ACL 2024

Text-to-OverpassQL: A Natural Language Interface for Complex Geodata Querying of OpenStreetMap

Michael Staniek, Raphael Schumann, Maike Züfle, Stefan Riezler

Journal ref Transactions of the Association for Computational Linguistics (2024) 12: 562 to 575

Activation Scaling for Steering and Interpreting Language Models

Niklas Stoehr, Kevin Du, Vésteinn Snæbjarnarson, Robert West, Ryan Cotterell, Aaron Schein

Comments Findings of the Association for Computational Linguistics: EMNLP 2024

ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models

Aparna Elangovan, Ling Liu, Lei Xu, Sravan Bodapati, Dan Roth

Comments Accepted in ACL 2024

Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering

Shamane Siriwardhana, Rivindu Weerasekera, Elliott Wen, Tharindu Kaluarachchi, Rajib Rana, Suranga Nanayakkara

Comments This paper is awaiting publication at Transactions of the Association for Computational Linguistics. This is a pre-MIT Press publication version. For associated huggingface transformers code, see https://github.com/huggingface/transformers/tree/main/examples/research_projects/rag-end2end-retriever

Robust Pronoun Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased?

Vagrant Gautam, Eileen Bingert, Dawei Zhu, Anne Lauscher, Dietrich Klakow

Comments Transactions of the Association for Computational Linguistics (presented at EMNLP 2024)

VALOR-EVAL: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models

Haoyi Qiu, Wenbo Hu, Zi-Yi Dou, Nanyun Peng

Comments ACL 2024 Findings

SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graphs

Hanzhu Chen, Xu Shen, Qitan Lv, Jie Wang, Xiaoqi Ni, Jieping Ye

Comments ACL 2024 Main

Can Language Models Take A Hint? Prompting for Controllable Contextualized Commonsense Inference

Pedro Colon-Hernandez, Nanxi Liu, Chelsea Joe, Peter Chin, Claire Yin, Henry Lieberman, Yida Xin, Cynthia Breazeal

Comments Submitted to ACL Rolling Review. arXiv admin note: text overlap with arXiv:2302.05406

Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model Development

Pranab Sahoo, Ayush Kumar Singh, Sriparna Saha, Aman Chadha, Samrat Mondal

Comments ACL Findings 2024

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs

Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Zheng Li, Ruirui Li, Xianfeng Tang, Suhang Wang, Yu Meng, Jiawei Han

Comments 21 pages. Code: https://github.com/PeterGriffinJin/Graph-CoT

Journal ref ACL 2024

DocLens: Multi-aspect Fine-grained Evaluation for Medical Text Generation

Yiqing Xie, Sheng Zhang, Hao Cheng, Pengfei Liu, Zelalem Gero, Cliff Wong, Tristan Naumann, Hoifung Poon, Carolyn Rose

Comments ACL Camera Ready Version

The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants

Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa

Comments ACL 2024

Journal ref Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics 749-775 2024

Unveiling the Achilles' Heel of NLG Evaluators: A Unified Adversarial Framework Driven by Large Language Models

Yiming Chen, Chen Zhang, Danqing Luo, Luis Fernando D'Haro, Robby T. Tan, Haizhou Li

Comments ACL24 Findings

HRGraph: Leveraging LLMs for HR Data Knowledge Graphs with Information Propagation-based Job Recommendation

Azmine Toushik Wasi

Comments 7 Pages, 4 Figures. View in ACL Anthology: https://aclanthology.org/2024.kallm-1.6/

Journal ref Proceedings of the 1st Workshop on Knowledge Graphs and Large Language Models (KaLLM 2024), Association for Computational Linguistics 2024

Statements: Universal Information Extraction from Tables with Large Language Models for ESG KPIs

Lokesh Mishra, Sohayl Dhibi, Yusik Kim, Cesar Berrospi Ramis, Shubham Gupta, Michele Dolfi, Peter Staar

Comments Accepted at the NLP4Climate workshop in the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)

Journal ref Proceedings of the 1st Workshop on Natural Language Processing Meets Climate Change (ClimateNLP 2024), pages 193-214, Bangkok, Thailand. Association for Computational Linguistics