NAACL

On Large Language Models' Hallucination with Regard to Known Facts

Che Jiang, Biqing Qi, Xiangyu Hong, Dayuan Fu, Yang Cheng, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou

Comments Accepted by NAACL 2024 MainConference

LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback

Wenda Xu, Daniel Deutsch, Mara Finkelstein, Juraj Juraska, Biao Zhang, Zhongtao Liu, William Yang Wang, Lei Li, Markus Freitag

Comments Accepted to NAACL 2024

CAMEL-Bench: A Comprehensive Arabic LMM Benchmark

Sara Ghaboura, Ahmed Heakl, Omkar Thawakar, Ali Alharthi, Ines Riahi, Abduljalil Saif, Jorma Laaksonen, Fahad S. Khan, Salman Khan, Rao M. Anwer

Comments 10 pages, 5 figures, NAACL

MADial-Bench: Towards Real-world Evaluation of Memory-Augmented Dialogue Generation

Junqing He, Liang Zhu, Rui Wang, Xi Wang, Reza Haffari, Jiaxing Zhang

Comments Submitted to NAACL 2025

DAIC-WOZ: On the Validity of Using the Therapist's prompts in Automatic Depression Detection from Clinical Interviews

Sergio Burdisso, Ernesto Reyes-Ramírez, Esaú Villatoro-Tello, Fernando Sánchez-Vega, Pastor López-Monroy, Petr Motlicek

Comments Accepted to Clinical NLP workshop at NAACL 2024

Reliability Estimation of News Media Sources: Birds of a Feather Flock Together

Sergio Burdisso, Dairazalia Sánchez-Cortés, Esaú Villatoro-Tello, Petr Motlicek

Comments Accepted to NAACL 2024 Main Conference

RKadiyala at SemEval-2024 Task 8: Black-Box Word-Level Text Boundary Detection in Partially Machine Generated Texts

Ram Mohan Rao Kadiyala

Comments published at naacl 2024

F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine Translation

Junhong Wu, Yuchen Liu, Chengqing Zong

Comments Accepted to the main conference of NAACL 2024

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

How Interpretable are Reasoning Explanations from Prompting Large Language Models?

Wei Jie Yeo, Ranjan Satapathy, Rick Siow Mong Goh, Erik Cambria

Comments NAACL Findings 2024

ERAS: Evaluating the Robustness of Chinese NLP Models to Morphological Garden Path Errors

Qinchan Li, Sophie Hao

Comments Under review in ARR/NAACL

STRUX: An LLM for Decision-Making with Structured Explanations

Yiming Lu, Yebowen Hu, Hassan Foroosh, Wei Jin, Fei Liu

Comments 10 pages, 7 figures, submitted to NAACL 2025

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)

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)

Building Knowledge-Guided Lexica to Model Cultural Variation

Shreya Havaldar, Salvatore Giorgi, Sunny Rai, Young-Min Cho, Thomas Talhelm, Sharath Chandra Guntuku, Lyle Ungar

Comments Accepted at NAACL 2024

Leveraging Customer Feedback for Multi-modal Insight Extraction

Sandeep Sricharan Mukku, Abinesh Kanagarajan, Pushpendu Ghosh, Chetan Aggarwal

Comments NAACL 2024

Commentary Generation from Data Records of Multiplayer Strategy Esports Game

Zihan Wang, Naoki Yoshinaga

Comments Accepted by NAACL SRW 2024

AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation

Haoyi Qiu, Kung-Hsiang Huang, Jingnong Qu, Nanyun Peng

Comments NAACL 2024

OrchestraLLM: Efficient Orchestration of Language Models for Dialogue State Tracking

Chia-Hsuan Lee, Hao Cheng, Mari Ostendorf

Comments updated version (NAACL camera ready)

Pronoun Logic

Rose Bohrer, Ashe Neth

Comments Accepted to Queer in AI Workshop @ NAACL 2024. https://www.queerinai.com/naacl-2024/

A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection

Ivo Verhoeven, Pushkar Mishra, Rahel Beloch, Helen Yannakoudakis, Ekaterina Shutova

Comments To be published at Findings of NAACL 2024

Journal ref https://aclanthology.org/2024.findings-naacl.30/

MedCycle: Unpaired Medical Report Generation via Cycle-Consistency

Elad Hirsch, Gefen Dawidowicz, Ayellet Tal

Journal ref Findings of the Association for Computational Linguistics NAACL, 2024, 1929-1944

Facilitating Opinion Diversity through Hybrid NLP Approaches

Michiel van der Meer

Comments Accepted at NAACL 2024, Student Research Workshop

ContraSim -- Analyzing Neural Representations Based on Contrastive Learning

Adir Rahamim, Yonatan Belinkov

Comments Accepted to NAACL 2024

Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization

Haode Zhang, Haowen Liang, Yuwei Zhang, Liming Zhan, Xiaolei Lu, Albert Y. S. Lam, Xiao-Ming Wu

Comments NAACL 2022, oral

A Preference-driven Paradigm for Enhanced Translation with Large Language Models

Dawei Zhu, Sony Trenous, Xiaoyu Shen, Dietrich Klakow, Bill Byrne, Eva Hasler

Comments Accepted to NAACL 2024 (long, main)

An Automatic Prompt Generation System for Tabular Data Tasks

Ashlesha Akella, Abhijit Manatkar, Brij Chavda, Hima Patel

Comments Accepted to NAACL 2024 Industry Track

Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing

Jaehun Jung, Peter West, Liwei Jiang, Faeze Brahman, Ximing Lu, Jillian Fisher, Taylor Sorensen, Yejin Choi

Comments NAACL 2024

Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales

Lucas E. Resck, Marcos M. Raimundo, Jorge Poco

Comments 27 pages, 22 figures, 8 tables; to appear in NAACL Findings 2024; code and data available at https://github.com/visual-ds/plausible-nlp-explanations

Journal ref NAACL Findings (2024) 4190-4216; NAACL 2024

Laying Anchors: Semantically Priming Numerals in Language Modeling

Mandar Sharma, Rutuja Murlidhar Taware, Pravesh Koirala, Nikhil Muralidhar, Naren Ramakrishnan

Comments Accepted to the findings of NAACL 2024