ACL

Towards Building a Robust Toxicity Predictor

Dmitriy Bespalov, Sourav Bhabesh, Yi Xiang, Liutong Zhou, Yanjun Qi

Comments ACL 2023 /

Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions

Jiahuan Li, Hao Zhou, Shujian Huang, Shanbo Cheng, Jiajun Chen

Comments accepted by Transaction of ACL, pre-MIT version

A Multi-Perspective Architecture for Semantic Code Search

Rajarshi Haldar, Lingfei Wu, Jinjun Xiong, Julia Hockenmaier

Comments ACL 2020

Journal ref 2020.acl-main.758

Which One? Leveraging Context Between Objects and Multiple Views for Language Grounding

Chancharik Mitra, Abrar Anwar, Rodolfo Corona, Dan Klein, Trevor Darrell, Jesse Thomason

Journal ref North American Chapter of the Association for Computational Linguistics (NAACL), 2024

AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents

Luca Gioacchini, Giuseppe Siracusano, Davide Sanvito, Kiril Gashteovski, David Friede, Roberto Bifulco, Carolin Lawrence

Comments Accepted at the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2024)

Advancing Regular Language Reasoning in Linear Recurrent Neural Networks

Ting-Han Fan, Ta-Chung Chi, Alexander I. Rudnicky

Comments Accepted at the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024). The first two authors contributed equally to this work

Learning to Rank Context for Named Entity Recognition Using a Synthetic Dataset

Arthur Amalvy, Vincent Labatut, Richard Dufour

Journal ref Conference on Empirical Methods in Natural Language Processing (EMNLP), ACL, Dec 2023, Singapore, Singapore. pp.10372-10382

TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction

Shuo Li, Sangdon Park, Insup Lee, Osbert Bastani

Comments 23 pages, 17 figures, 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics

The ADAIO System at the BEA-2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues

Adaeze Adigwe, Zheng Yuan

Comments Accepted in the BEA workshop at ACL 2023

GPT-who: An Information Density-based Machine-Generated Text Detector

Saranya Venkatraman, Adaku Uchendu, Dongwon Lee

Comments To appear in Findings of the Association for Computational Linguistics: NAACL 2024

Factual Consistency of Multilingual Pretrained Language Models

Constanza Fierro, Anders Søgaard

Journal ref Findings of the Association for Computational Linguistics: ACL 2022, pages 3046-3052, Dublin, Ireland. Association for Computational Linguistics

HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, Chuang Gan, Song Han

Comments Accepted to ACL 2020. 14 pages, 12 figures. Code available at http://github.com/mit-han-lab/hardware-aware-transformers.git

Multi-Granularity Guided Fusion-in-Decoder

Eunseong Choi, Hyeri Lee, Jongwuk Lee

Comments Findings of the Association for Computational Linguistics: NAACL 2024; 12 pages; 8 figures and 5 tables. Code and data available at http://github.com/eunseongc/MGFiD

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

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

Named Entity Recognition Under Domain Shift via Metric Learning for Life Sciences

Hongyi Liu, Qingyun Wang, Payam Karisani, Heng Ji

Comments 21 pages; Accepted by the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies; Code, data, and resources are publicly available for research purposes: https://github.com/Lhtie/Bio-Domain-Transfer

Composite Backdoor Attacks Against Large Language Models

Hai Huang, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang

Comments To Appear in Findings of the Association for Computational Linguistics: NAACL 2024, June 2024

Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias

Itay Itzhak, Gabriel Stanovsky, Nir Rosenfeld, Yonatan Belinkov

Comments TACL 2024. Presented at ACL 2024. 12 pages

Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression

Wen Wu, Chao Zhang, Philip C. Woodland

Comments Accepted by ACL 2023

Journal ref Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) 2023

Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies

Mukund Srinath, Shomir Wilson, C. Lee Giles

Journal ref Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021

NLP for Counterspeech against Hate: A Survey and How-To Guide

Helena Bonaldi, Yi-Ling Chung, Gavin Abercrombie, Marco Guerini

Comments To appear in Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (findings)

Conformal Intent Classification and Clarification for Fast and Accurate Intent Recognition

Floris den Hengst, Ralf Wolter, Patrick Altmeyer, Arda Kaygan

Comments 9 pages,2 figures,3 tables,6 appendices,to be published in ACL's NAACL Findings 2024

Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning

Daniel Saggau, Mina Rezaei, Bernd Bischl, Ilias Chalkidis

Comments 5 pages, short paper at Findings of ACL 2023

Adaptive Ordered Information Extraction with Deep Reinforcement Learning

Wenhao Huang, Jiaqing Liang, Zhixu Li, Yanghua Xiao, Chuanjun Ji

Comments Accepted to ACL 2023 Findings

KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation

Xindi Luo, Zequn Sun, Jing Zhao, Zhe Zhao, Wei Hu

Comments Accepted in the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024)

Reinforcement Learning from Reflective Feedback (RLRF): Aligning and Improving LLMs via Fine-Grained Self-Reflection

Kyungjae Lee, Dasol Hwang, Sunghyun Park, Youngsoo Jang, Moontae Lee

Comments 22 pages, 5 figures, Submitted to ACL 2024

Evaluation Ethics of LLMs in Legal Domain

Ruizhe Zhang, Haitao Li, Yueyue Wu, Qingyao Ai, Yiqun Liu, Min Zhang, Shaoping Ma

Comments 10 pages, in processing of ACL 2024

RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning

Javad Rafiei Asl, Prajwal Panzade, Eduardo Blanco, Daniel Takabi, Zhipeng Cai

Comments Accepted at the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL Findings) 2024. [https://openreview.net/forum?id=9dEAg4lJEA]

Investigating grammatical abstraction in language models using few-shot learning of novel noun gender

Priyanka Sukumaran, Conor Houghton, Nina Kazanina

Comments EACL 2024; Findings of the Association for Computational Linguistics

Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings

Joel Shor, Ruyue Agnes Bi, Subhashini Venugopalan, Steven Ibara, Roman Goldenberg, Ehud Rivlin

Journal ref Clinical NLP Workshop, ACL 2023