NAACL

How are Prompts Different in Terms of Sensitivity?

Sheng Lu, Hendrik Schuff, Iryna Gurevych

Comments NAACL 2024 Main

KU-DMIS at EHRSQL 2024:Generating SQL query via question templatization in EHR

Hajung Kim, Chanhwi Kim, Hoonick Lee, Kyochul Jang, Jiwoo Lee, Kyungjae Lee, Gangwoo Kim, Jaewoo Kang

Comments Published at ClinicalNLP workshop @ NAACL 2024

Eigenpruning: an Interpretability-Inspired PEFT Method

Tomás Vergara-Browne, Álvaro Soto, Akiko Aizawa

Comments Extended abstract accepted to LatinX at NAACL 2024

Automatic Generation of Model and Data Cards: A Step Towards Responsible AI

Jiarui Liu, Wenkai Li, Zhijing Jin, Mona Diab

Comments NAACL 2024 (Oral)

PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers

Myeonghwa Lee, Seonho An, Min-Soo Kim

Comments NAACL 2024

Pointer-Generator Networks for Low-Resource Machine Translation: Don't Copy That!

Niyati Bafna, Philipp Koehn, David Yarowsky

Comments 5 pages, Accepted at Workshop on Insights from Negative Results in NLP (NAACL) 2024

SportQA: A Benchmark for Sports Understanding in Large Language Models

Haotian Xia, Zhengbang Yang, Yuqing Wang, Rhys Tracy, Yun Zhao, Dongdong Huang, Zezhi Chen, Yan Zhu, Yuan-fang Wang, Weining Shen

Comments NAACL 2024

Contextualizing Argument Quality Assessment with Relevant Knowledge

Darshan Deshpande, Zhivar Sourati, Filip Ilievski, Fred Morstatter

Comments Accepted at NAACL 2024

Curated Datasets and Neural Models for Machine Translation of Informal Registers between Mayan and Spanish Vernaculars

Andrés Lou, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez, Víctor M. Sánchez-Cartagena

Comments 13 pages, 3 figures, 8 tables, Submitted to NAACL 2024

Journal ref 2024.naacl-long.156

Instruction Tuning with Human Curriculum

Bruce W. Lee, Hyunsoo Cho, Kang Min Yoo

Comments NAACL 2024

Mitigating Bias for Question Answering Models by Tracking Bias Influence

Mingyu Derek Ma, Jiun-Yu Kao, Arpit Gupta, Yu-Hsiang Lin, Wenbo Zhao, Tagyoung Chung, Wei Wang, Kai-Wei Chang, Nanyun Peng

Comments To appear at NAACL 2024 main conference

Exploring Self-supervised Logic-enhanced Training for Large Language Models

Fangkai Jiao, Zhiyang Teng, Bosheng Ding, Zhengyuan Liu, Nancy F. Chen, Shafiq Joty

Comments 16 pages, NAACL 2024

Complex Claim Verification with Evidence Retrieved in the Wild

Jifan Chen, Grace Kim, Aniruddh Sriram, Greg Durrett, Eunsol Choi

Comments NAACL 2024

Identifying Self-Disclosures of Use, Misuse and Addiction in Community-based Social Media Posts

Chenghao Yang, Tuhin Chakrabarty, Karli R Hochstatter, Melissa N Slavin, Nabila El-Bassel, Smaranda Muresan

Comments NAACL 2024 Findings (Camera-Ready Version). Codes and Data are available at https://github.com/yangalan123/OpioidID

GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives

Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo, Aida Mostafazadeh Davani, Alicia Parrish, Alex Taylor, Mark Díaz, Ding Wang, Gregory Serapio-García

Comments Presented as a long paper at NAACL 2024 main conference

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

Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis

Wenhao Zhu, Hongyi Liu, Qingxiu Dong, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen, Lei Li

Comments Accepted to Findings of NAACL 2024

Chain-of-Though (CoT) prompting strategies for medical error detection and correction

Zhaolong Wu, Abul Hasan, Jinge Wu, Yunsoo Kim, Jason P. Y. Cheung, Teng Zhang, Honghan Wu

Comments accepted as NAACL workshop

M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine Translation

Benjamin Hsu, Xiaoyu Liu, Huayang Li, Yoshinari Fujinuma, Maria Nadejde, Xing Niu, Yair Kittenplon, Ron Litman, Raghavendra Pappagari

Comments NAACL 2024, dataset at https://github.com/amazon-science/m3t-multi-modal-translation-bench

BookSQL: A Large Scale Text-to-SQL Dataset for Accounting Domain

Rahul Kumar, Amar Raja Dibbu, Shrutendra Harsola, Vignesh Subrahmaniam, Ashutosh Modi

Comments Accepted at NAACL 2024; 20 Pages (main + appendix)

UICoder: Finetuning Large Language Models to Generate User Interface Code through Automated Feedback

Jason Wu, Eldon Schoop, Alan Leung, Titus Barik, Jeffrey P. Bigham, Jeffrey Nichols

Comments Accepted to NAACL 2024

Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual Alignment

Chong Li, Shaonan Wang, Jiajun Zhang, Chengqing Zong

Comments NAACL 2024; Our code is available at https://github.com/chongli17/CrossLingualAlignment

Multilingual Nonce Dependency Treebanks: Understanding how Language Models represent and process syntactic structure

David Arps, Laura Kallmeyer, Younes Samih, Hassan Sajjad

Comments NAACL 2024. Our software is available at https://github.com/davidarps/spud

BCAmirs at SemEval-2024 Task 4: Beyond Words: A Multimodal and Multilingual Exploration of Persuasion in Memes

Amirhossein Abaskohi, Amirhossein Dabiriaghdam, Lele Wang, Giuseppe Carenini

Comments 12 pages, 5 tables, 2 figures, Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024) @ NAACL 2024

Anna Karenina Strikes Again: Pre-Trained LLM Embeddings May Favor High-Performing Learners

Abigail Gurin Schleifer, Beata Beigman Klebanov, Moriah Ariely, Giora Alexandron

Comments 9 pages (not including bibliography), Appendix and 10 tables. Accepted to the 19th Workshop on Innovative Use of NLP for Building Educational Applications, Co-located with NAACL 2024

Language Models are Alignable Decision-Makers: Dataset and Application to the Medical Triage Domain

Brian Hu, Bill Ray, Alice Leung, Amy Summerville, David Joy, Christopher Funk, Arslan Basharat

Comments 15 pages total (including appendix), NAACL 2024 Industry Track

Verifiable Generation with Subsentence-Level Fine-Grained Citations

Shuyang Cao, Lu Wang

Comments NAACL 2024 Findings

Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise

Giwon Hong, Jeonghwan Kim, Junmo Kang, Sung-Hyon Myaeng, Joyce Jiyoung Whang

Comments NAACL 2024 (Findings; Long Paper)

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation

Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, Mohit Bansal, Jason Weston, Xian Li

Comments NAACL 2024 (19 pages, 7 figures, 11 tables)

PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning

Tianrong Zhang, Zhaohan Xi, Ting Wang, Prasenjit Mitra, Jinghui Chen

Comments NAACL 2024

R-Tuning: Instructing Large Language Models to Say `I Don't Know'

Hanning Zhang, Shizhe Diao, Yong Lin, Yi R. Fung, Qing Lian, Xingyao Wang, Yangyi Chen, Heng Ji, Tong Zhang

Comments NAACL 2024