NAACL

LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations

Qianli Wang, Tatiana Anikina, Nils Feldhus, Josef van Genabith, Leonhard Hennig, Sebastian Möller

Comments Accepted to NAACL 2024 HCI+NLP workshop; camera-ready version

AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages

Jiayi Wang, David Ifeoluwa Adelani, Sweta Agrawal, Marek Masiak, Ricardo Rei, Eleftheria Briakou, Marine Carpuat, Xuanli He, Sofia Bourhim, Andiswa Bukula, Muhidin Mohamed, Temitayo Olatoye, Tosin Adewumi, Hamam Mokayed, Christine Mwase, Wangui Kimotho, Foutse Yuehgoh, Anuoluwapo Aremu, Jessica Ojo, Shamsuddeen Hassan Muhammad, Salomey Osei, Abdul-Hakeem Omotayo, Chiamaka Chukwuneke, Perez Ogayo, Oumaima Hourrane, Salma El Anigri, Lolwethu Ndolela, Thabiso Mangwana, Shafie Abdi Mohamed, Ayinde Hassan, Oluwabusayo Olufunke Awoyomi, Lama Alkhaled, Sana Al-Azzawi, Naome A. Etori, Millicent Ochieng, Clemencia Siro, Samuel Njoroge, Eric Muchiri, Wangari Kimotho, Lyse Naomi Wamba Momo, Daud Abolade, Simbiat Ajao, Iyanuoluwa Shode, Ricky Macharm, Ruqayya Nasir Iro, Saheed S. Abdullahi, Stephen E. Moore, Bernard Opoku, Zainab Akinjobi, Abeeb Afolabi, Nnaemeka Obiefuna, Onyekachi Raphael Ogbu, Sam Brian, Verrah Akinyi Otiende, Chinedu Emmanuel Mbonu, Sakayo Toadoum Sari, Yao Lu, Pontus Stenetorp

Comments Accepted by NAACL 2024

MisgenderMender: A Community-Informed Approach to Interventions for Misgendering

Tamanna Hossain, Sunipa Dev, Sameer Singh

Comments NAACL 2024

Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning

Yanhui Guo, Shaoyuan Xu, Jinmiao Fu, Jia Liu, Chaosheng Dong, Bryan Wang

Comments Accepted to NAACL 2024 findings

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

On-the-fly Definition Augmentation of LLMs for Biomedical NER

Monica Munnangi, Sergey Feldman, Byron C Wallace, Silvio Amir, Tom Hope, Aakanksha Naik

Comments To appear at NAACL 2024 (Main)

"You are an expert annotator": Automatic Best-Worst-Scaling Annotations for Emotion Intensity Modeling

Christopher Bagdon, Prathamesh Karmalker, Harsha Gurulingappa, Roman Klinger

Comments accepted for publication in NAACL 2024

Key ingredients for effective zero-shot cross-lingual knowledge transfer in generative tasks

Nadezhda Chirkova, Vassilina Nikoulina

Comments NAACL 2024 final version. arXiv admin note: text overlap with arXiv:2310.09917

Empirical study of pretrained multilingual language models for zero-shot cross-lingual knowledge transfer in generation

Nadezhda Chirkova, Sheng Liang, Vassilina Nikoulina

Comments This preprint describes a preliminary study for our follow-up work arXiv:2402.12279 (NAACL 2024), in which we investigate important factors for enabling zero-shot cross-lingual transfer in generative tasks

Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models

Raphael Tang, Xinyu Zhang, Xueguang Ma, Jimmy Lin, Ferhan Ture

Comments Accepted for publication at NAACL 2024. First two authors contributed equally; 10 pages, 6 figures

SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation

Abe Bohan Hou, Jingyu Zhang, Tianxing He, Yichen Wang, Yung-Sung Chuang, Hongwei Wang, Lingfeng Shen, Benjamin Van Durme, Daniel Khashabi, Yulia Tsvetkov

Comments Accepted to NAACL 24 Main

Empowering Diffusion Models on the Embedding Space for Text Generation

Zhujin Gao, Junliang Guo, Xu Tan, Yongxin Zhu, Fang Zhang, Jiang Bian, Linli Xu

Comments NAACL 2024

Using Adaptive Empathetic Responses for Teaching English

Li Siyan, Teresa Shao, Zhou Yu, Julia Hirschberg

Comments Accepted to BEA workshop at NAACL 2024

Lost in Space: Probing Fine-grained Spatial Understanding in Vision and Language Resamplers

Georgios Pantazopoulos, Alessandro Suglia, Oliver Lemon, Arash Eshghi

Comments NAACL 2024

UnibucLLM: Harnessing LLMs for Automated Prediction of Item Difficulty and Response Time for Multiple-Choice Questions

Ana-Cristina Rogoz, Radu Tudor Ionescu

Comments Accepted at BEA 2024 (NAACL Workshop)

Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models

Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sangmin Bae, Namgyu Ho, Sung Ju Hwang, Se-young Yun

Comments 15 pages, 10 figures, 5 tables; accepted to NAACL 2024

COPAL-ID: Indonesian Language Reasoning with Local Culture and Nuances

Haryo Akbarianto Wibowo, Erland Hilman Fuadi, Made Nindyatama Nityasya, Radityo Eko Prasojo, Alham Fikri Aji

Comments 8 pages, Camera Ready (NAACL 2024 - Main)

REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking

Nacime Bouziani, Shubhi Tyagi, Joseph Fisher, Jens Lehmann, Andrea Pierleoni

Comments Accepted at NAACL Industry Track 2024

mOthello: When Do Cross-Lingual Representation Alignment and Cross-Lingual Transfer Emerge in Multilingual Models?

Tianze Hua, Tian Yun, Ellie Pavlick

Comments Accepted at Findings of NAACL 2024. Project Webpage: https://multilingual-othello.github.io/

Improving Socratic Question Generation using Data Augmentation and Preference Optimization

Nischal Ashok Kumar, Andrew Lan

Comments Published at the 19th BEA Workshop co-located with NAACL-2024

When LLMs are Unfit Use FastFit: Fast and Effective Text Classification with Many Classes

Asaf Yehudai, Elron Bendel

Comments Accepted to NAACL

Advancing the Robustness of Large Language Models through Self-Denoised Smoothing

Jiabao Ji, Bairu Hou, Zhen Zhang, Guanhua Zhang, Wenqi Fan, Qing Li, Yang Zhang, Gaowen Liu, Sijia Liu, Shiyu Chang

Comments Accepted by NAACL 2024. Jiabao, Bairu, Zhen, Guanhua contributed equally. This is an updated version of the paper: arXiv:2307.07171

Sequential Compositional Generalization in Multimodal Models

Semih Yagcioglu, Osman Batur İnce, Aykut Erdem, Erkut Erdem, Desmond Elliott, Deniz Yuret

Comments Accepted to the main conference of NAACL (2024) as a long paper

Enhancing Argument Summarization: Prioritizing Exhaustiveness in Key Point Generation and Introducing an Automatic Coverage Evaluation Metric

Mohammad Khosravani, Chenyang Huang, Amine Trabelsi

Comments NAACL 2024 Main Conference

Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models

Wanyong Feng, Jaewook Lee, Hunter McNichols, Alexander Scarlatos, Digory Smith, Simon Woodhead, Nancy Otero Ornelas, Andrew Lan

Comments NAACL 2024 findings

Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models

Yue Zhou, Yada Zhu, Diego Antognini, Yoon Kim, Yang Zhang

Comments Accepted to the main conference of NAACL (2024)

Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning

Xiao Li, Yong Jiang, Shen Huang, Pengjun Xie, Gong Cheng, Fei Huang

Comments 11 pages, 4 figures, 4 tables. Accepted to NAACL 2024

More Room for Language: Investigating the Effect of Retrieval on Language Models

David Samuel, Lucas Georges Gabriel Charpentier, Sondre Wold

Comments NAACL 2024

Corpus Considerations for Annotator Modeling and Scaling

Olufunke O. Sarumi, Béla Neuendorf, Joan Plepi, Lucie Flek, Jörg Schlötterer, Charles Welch

Comments Accepted at NAACL 2024

mEdIT: Multilingual Text Editing via Instruction Tuning

Vipul Raheja, Dimitris Alikaniotis, Vivek Kulkarni, Bashar Alhafni, Dhruv Kumar

Comments Accepted to NAACL 2024 (Main). 23 pages, 8 tables, 11 figures