NAACL

Empirical Analysis of Large Vision-Language Models against Goal Hijacking via Visual Prompt Injection

Subaru Kimura, Ryota Tanaka, Shumpei Miyawaki, Jun Suzuki, Keisuke Sakaguchi

Comments 8 pages, 6 figures, Accepted to NAACL 2024 SRW

X-LLaVA: Optimizing Bilingual Large Vision-Language Alignment

Dongjae Shin, Hyeonseok Lim, Inho Won, Changsu Choi, Minjun Kim, Seungwoo Song, Hangyeol Yoo, Sangmin Kim, Kyungtae Lim

Journal ref https://aclanthology.org/2024.findings-naacl.158

Weakly Supervised Text-to-SQL Parsing through Question Decomposition

Tomer Wolfson, Daniel Deutch, Jonathan Berant

Comments Accepted for publication in Findings of NAACL 2022. Author's final version

The #Somos600M Project: Generating NLP resources that represent the diversity of the languages from LATAM, the Caribbean, and Spain

María Grandury

Comments 16 pages and 10 figures in total, includes English and Spanish version, to be published in proceedings North American Chapter of the Association for Computational Linguistics Conference: LatinX in AI (LXAI) Research Workshop, Mexico City, Mexico, June 2024

Tailoring Vaccine Messaging with Common-Ground Opinions

Rickard Stureborg, Sanxing Chen, Ruoyu Xie, Aayushi Patel, Christopher Li, Chloe Qinyu Zhu, Tingnan Hu, Jun Yang, Bhuwan Dhingra

Comments NAACL Findings 2024

Fine-grained Gender Control in Machine Translation with Large Language Models

Minwoo Lee, Hyukhun Koh, Minsung Kim, Kyomin Jung

Comments NAACL 2024 Main track long paper

SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models

Manav Nitin Kapadnis, Sohan Patnaik, Abhilash Nandy, Sourjyadip Ray, Pawan Goyal, Debdoot Sheet

Comments 8 pages, 3 figures, 4 tables, Accepted as oral at Clinical NLP workshop at NAACL 2024

On Learning to Summarize with Large Language Models as References

Yixin Liu, Kejian Shi, Katherine S He, Longtian Ye, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan

Comments NAACL 2024, GitHub Repo: https://github.com/yixinL7/SumLLM

FarFetched: Entity-centric Reasoning and Claim Validation for the Greek Language based on Textually Represented Environments

Dimitris Papadopoulos, Katerina Metropoulou, Nikolaos Matsatsinis, Nikolaos Papadakis

Comments DeepLo NAACL 2022

Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization

Yixin Liu, Alexander R. Fabbri, Jiawen Chen, Yilun Zhao, Simeng Han, Shafiq Joty, Pengfei Liu, Dragomir Radev, Chien-Sheng Wu, Arman Cohan

Comments NAACL 2024 Findings, GitHub Repo: https://github.com/yale-nlp/InstruSum, LLM-evaluators Leaderboard: https://huggingface.co/spaces/yale-nlp/InstruSumEval

SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning

Bin Wang, Zhengyuan Liu, Xin Huang, Fangkai Jiao, Yang Ding, AiTi Aw, Nancy F. Chen

Comments Published at NAACL 2024. Code: https://seaeval.github.io/

XferBench: a Data-Driven Benchmark for Emergent Language

Brendon Boldt, David Mortensen

Comments 15 pages, 5 figures

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), 1475-1489

Change My Frame: Reframing in the Wild in r/ChangeMyView

Arturo Martínez Peguero, Taro Watanabe

Comments 3 pages, NAACL 2024 workshop

Guylingo: The Republic of Guyana Creole Corpora

Christopher Clarke, Roland Daynauth, Charlene Wilkinson, Hubert Devonish, Jason Mars

Comments Accepted to NAACL 2024 Main Conference Special Theme Track: Languages of Latin America and The Caribbean

Neurocache: Efficient Vector Retrieval for Long-range Language Modeling

Ali Safaya, Deniz Yuret

Comments Long paper, published at the main conference NAACL'24

Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation

Hao Wang, Tetsuro Morimura, Ukyo Honda, Daisuke Kawahara

Comments NAACL SRW 2024

Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer

Hele-Andra Kuulmets, Taido Purason, Agnes Luhtaru, Mark Fishel

Journal ref Findings of the Association for Computational Linguistics: NAACL 2024, pages 3309-3325

Rethinking Machine Ethics -- Can LLMs Perform Moral Reasoning through the Lens of Moral Theories?

Jingyan Zhou, Minda Hu, Junan Li, Xiaoying Zhang, Xixin Wu, Irwin King, Helen Meng

Journal ref Findings of the Association for Computational Linguistics: NAACL 2024

Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark

Stephen Mayhew, Terra Blevins, Shuheng Liu, Marek Šuppa, Hila Gonen, Joseph Marvin Imperial, Börje F. Karlsson, Peiqin Lin, Nikola Ljubešić, LJ Miranda, Barbara Plank, Arij Riabi, Yuval Pinter

Comments NAACL 2024 Camera-ready

How Well Do Large Language Models Truly Ground?

Hyunji Lee, Sejune Joo, Chaeeun Kim, Joel Jang, Doyoung Kim, Kyoung-Woon On, Minjoon Seo

Comments published at NAACL 2022

SEMQA: Semi-Extractive Multi-Source Question Answering

Tal Schuster, Adam D. Lelkes, Haitian Sun, Jai Gupta, Jonathan Berant, William W. Cohen, Donald Metzler

Comments NAACL 2024

UINav: A Practical Approach to Train On-Device Automation Agents

Wei Li, Fu-Lin Hsu, Will Bishop, Folawiyo Campbell-Ajala, Max Lin, Oriana Riva

Journal ref NAACL 2024 Industry Track

Do prompt positions really matter?

Junyu Mao, Stuart E. Middleton, Mahesan Niranjan

Comments 8 pages, 2 figures

Journal ref Findings of the Association for Computational Linguistics: NAACL 2024, 2024, pp. 4102-4130

Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers

Yuan Wang, Xuyang Wu, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang

Comments Accepted at NAACL 2024 Main Conference

Automated Adversarial Discovery for Safety Classifiers

Yash Kumar Lal, Preethi Lahoti, Aradhana Sinha, Yao Qin, Ananth Balashankar

Comments Published at Fourth Workshop on TrustworthyNLP (TrustNLP) at NAACL 2024

PatentEval: Understanding Errors in Patent Generation

You Zuo, Kim Gerdes, Eric Villemonte de La Clergerie, Benoît Sagot

Journal ref NAACL2024 - 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Jun 2024, Mexico City, Mexico

LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Chi Han, Qifan Wang, Hao Peng, Wenhan Xiong, Yu Chen, Heng Ji, Sinong Wang

Comments NAACL 2024 Outstanding paper, 9 pages, 6 figures

Self-Regulated Data-Free Knowledge Amalgamation for Text Classification

Prashanth Vijayaraghavan, Hongzhi Wang, Luyao Shi, Tyler Baldwin, David Beymer, Ehsan Degan

Comments 12 pages, 5 Figures, Proceedings of NAACL 2024

iACOS: Advancing Implicit Sentiment Extraction with Informative and Adaptive Negative Examples

Xiancai Xu, Jia-Dong Zhang, Lei Xiong, Zhishang Liu

Journal ref NAACL 2024 (Volume 1: Long Papers)

Empowering Multi-step Reasoning across Languages via Tree-of-Thoughts

Leonardo Ranaldi, Giulia Pucci, Federico Ranaldi, Elena Sofia Ruzzetti, Fabio Massimo Zanzotto

Comments Findings of the Association for Computational Linguistics: NAACL 2024

Journal ref 2024.findings-naacl.78