NAACL

AceGPT, Localizing Large Language Models in Arabic

Huang Huang, Fei Yu, Jianqing Zhu, Xuening Sun, Hao Cheng, Dingjie Song, Zhihong Chen, Abdulmohsen Alharthi, Bang An, Juncai He, Ziche Liu, Zhiyi Zhang, Junying Chen, Jianquan Li, Benyou Wang, Lian Zhang, Ruoyu Sun, Xiang Wan, Haizhou Li, Jinchao Xu

Comments Accepted to NAACL main conference. https://github.com/FreedomIntelligence/AceGPT

SLIDE: Reference-free Evaluation for Machine Translation using a Sliding Document Window

Vikas Raunak, Tom Kocmi, Matt Post

Comments NAACL 2024

MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response

Zihao Deng, Yinghao Ma, Yudong Liu, Rongchen Guo, Ge Zhang, Wenhu Chen, Wenhao Huang, Emmanouil Benetos

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

ExpertQA: Expert-Curated Questions and Attributed Answers

Chaitanya Malaviya, Subin Lee, Sihao Chen, Elizabeth Sieber, Mark Yatskar, Dan Roth

Comments Accepted to NAACL 2024. Dataset & code is available at https://github.com/chaitanyamalaviya/expertqa

Instruction-following Evaluation through Verbalizer Manipulation

Shiyang Li, Jun Yan, Hai Wang, Zheng Tang, Xiang Ren, Vijay Srinivasan, Hongxia Jin

Comments NAACL 2024 findings

This Land is {Your, My} Land: Evaluating Geopolitical Biases in Language Models

Bryan Li, Samar Haider, Chris Callison-Burch

Comments NAACL 2024 main conference

PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Hang Jiang, Xiajie Zhang, Xubo Cao, Cynthia Breazeal, Deb Roy, Jad Kabbara

Comments First version in 05/2023. Accepted at NAACL Findings 2024

UniArk: Improving Generalisation and Consistency for Factual Knowledge Extraction through Debiasing

Yijun Yang, Jie He, Pinzhen Chen, Víctor Gutiérrez-Basulto, Jeff Z. Pan

Comments NAACL 2024

What Makes Math Word Problems Challenging for LLMs?

KV Aditya Srivatsa, Ekaterina Kochmar

Comments Accepted to NAACL Findings 2024

OVM, Outcome-supervised Value Models for Planning in Mathematical Reasoning

Fei Yu, Anningzhe Gao, Benyou Wang

Comments Accepted to NAACL findings. https://github.com/FreedomIntelligence/OVM

R-Spin: Efficient Speaker and Noise-invariant Representation Learning with Acoustic Pieces

Heng-Jui Chang, James Glass

Comments Accepted to NAACL 2024

A Robust Semantics-based Watermark for Large Language Model against Paraphrasing

Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang

Comments Accepted to NAACL findings 2024

Unlocking Emergent Modularity in Large Language Models

Zihan Qiu, Zeyu Huang, Jie Fu

Comments NAACL2024 Main Conference

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

Efficient Benchmarking of Language Models

Yotam Perlitz, Elron Bandel, Ariel Gera, Ofir Arviv, Liat Ein-Dor, Eyal Shnarch, Noam Slonim, Michal Shmueli-Scheuer, Leshem Choshen

Comments Accepted to NAACL main track

End-to-End Beam Retrieval for Multi-Hop Question Answering

Jiahao Zhang, Haiyang Zhang, Dongmei Zhang, Yong Liu, Shen Huang

Comments Accepted by NAACL 2024 Main Conference. Code is available at https://github.com/canghongjian/beam_retriever

XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models

Paul Röttger, Hannah Rose Kirk, Bertie Vidgen, Giuseppe Attanasio, Federico Bianchi, Dirk Hovy

Comments Accepted at NAACL 2024 (Main Conference)

Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models

Wei He, Shichun Liu, Jun Zhao, Yiwen Ding, Yi Lu, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang

Comments Accepted to NAACL 2024 Findings

Heterogeneity over Homogeneity: Investigating Multilingual Speech Pre-Trained Models for Detecting Audio Deepfake

Orchid Chetia Phukan, Gautam Siddharth Kashyap, Arun Balaji Buduru, Rajesh Sharma

Comments Accepted to NAACL (Findings) 2024

On the True Distribution Approximation of Minimum Bayes-Risk Decoding

Atsumoto Ohashi, Ukyo Honda, Tetsuro Morimura, Yuu Jinnai

Comments NAACL 2024 (main conference)

Benchmark Transparency: Measuring the Impact of Data on Evaluation

Venelin Kovatchev, Matthew Lease

Comments Accepted at NAACL 2024

CoUDA: Coherence Evaluation via Unified Data Augmentation

Dawei Zhu, Wenhao Wu, Yifan Song, Fangwei Zhu, Ziqiang Cao, Sujian Li

Comments NAACL 2024

CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency Models

Xiang Li, Fan Bu, Ambuj Mehrish, Yingting Li, Jiale Han, Bo Cheng, Soujanya Poria

Comments Accepted by Findings of NAACL 2024. Code is available at https://github.com/XiangLi2022/CM-TTS

DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations

Weihao Zeng, Dayuan Fu, Keqing He, Yejie Wang, Yukai Xu, Weiran Xu

Comments NAACL 2024 (Findings)

Addressing Both Statistical and Causal Gender Fairness in NLP Models

Hannah Chen, Yangfeng Ji, David Evans

Comments NAACL 2024 (Findings)

Do Vision-Language Models Understand Compound Nouns?

Sonal Kumar, Sreyan Ghosh, S Sakshi, Utkarsh Tyagi, Dinesh Manocha

Comments Accepted to NAACL 2024 Main Conference

CoDa: Constrained Generation based Data Augmentation for Low-Resource NLP

Chandra Kiran Reddy Evuru, Sreyan Ghosh, Sonal Kumar, Ramaneswaran S, Utkarsh Tyagi, Dinesh Manocha

Comments Accepted to NAACL 2024 Findings

A Likelihood Ratio Test of Genetic Relationship among Languages

V. S. D. S. Mahesh Akavarapu, Arnab Bhattacharya

Comments Accepted at NAACL-2024 (Main Conference)

DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation

Aru Maekawa, Satoshi Kosugi, Kotaro Funakoshi, Manabu Okumura

Comments Accepted by Findings of NAACL 2024

Aligning Large Language Models with Recommendation Knowledge

Yuwei Cao, Nikhil Mehta, Xinyang Yi, Raghunandan Keshavan, Lukasz Heldt, Lichan Hong, Ed H. Chi, Maheswaran Sathiamoorthy

Comments Accepted to the NAACL 2024 Findings

Causal Inference for Human-Language Model Collaboration

Bohan Zhang, Yixin Wang, Paramveer S. Dhillon

Comments 9 pages (Accepted for publication at NAACL 2024 (Main Conference))