An Energy-based Model for Word-level AutoCompletion in Computer-aided Translation Article at MIT Press
To Diverge or Not to Diverge: A Morphosyntactic Perspective on Machine Translation vs Human Translation Article at MIT Press
AmbiFC: Fact-Checking Ambiguous Claims with Evidence” Max Glockner, Ieva Staliūnaitė, James Thorne, Gisela Vallejo, Andreas Vlachos, Iryna Gurevych Article at MIT Press Presented at EMNLP 2023
What Do Self-Supervised Speech Models Know About Words? Ankita Pasad, Chung-Ming Chien, Shane Settle, Karen Livescu Article at MIT Press
Text Attribute Control via Closed-Loop Disentanglement Lei Sha, Thomas Lukasiewicz Article at MIT Press
Retrieve What You Need: A Mutual Learning Framework for Open-domain Question Answering Dingmin Wang, Qiuyuan Huang, Matthew Jackson, Jianfeng Gao Article at MIT Press
Unifying Structured Data as Graph for Data-to-Text Pre-Training Shujie Li, Liang Li, Ruiying Geng, Min Yang, Binhua Li, Guanghu Yuan, Wanwei He, Shao Yuan, Can Ma, Fei Huang, Yongbin Li Article at MIT Press
The Impact of Word Splitting on the Semantic Content of Contextualized Word Representations Aina Garí Soler, Matthieu Labeau, Chloé Clavel Article at MIT Press
Geographic Adaptation of Pretrained Language Models Valentin Hofmann, Goran Glavaš, Nikola Ljubešić, Janet Pierrehumbert, Hinrich Schütze Article at MIT Press
Large Language Models Enable Few-Shot Clustering Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, Tongshuang Wu, Graham Neubig Article at MIT Press
Lost in the Middle: How Language Models Use Long Contexts Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang Article at MIT Press
Explicitly Representing Syntax Improves Sentence-to-layout Prediction of Unexpected Situations Wolf Nuyts, Ruben Cartuyvels, Marie-Francine Moens Article at MIT Press
Addressing the Binning Problem in Calibration Assessment through Scalar Annotations Zhengping Jiang, Anqi Liu, Benjamin Van Durme Article at MIT Press
Cultural Adaptation of Recipes Yong Cao, Yova Kementchedjhieva, Ruixiang Cui, Antonia Karamolegkou, Li Zhou, Megan Dare, Lucia Donatelli, Daniel Hershcovich Article at MIT Press
JustiLM: Few-shot Justification Generation for Explainable Fact-Checking of Real-world Claims FENGZHU ZENG, Wei GAO Article at MIT Press
Benchmarking Large Language Models for News Summarization Tianyi Zhang, Faisal Ladhak, Esin Durmus, Percy Liang, Kathleen McKeown, Tatsunori Hashimoto Article at MIT Press Presented at EMNLP 2023
mGPT: Few-shot Learners Go Multilingual Oleh Shliazhko, Alena Fenogenova, Maria Tikhonova, Anastasia Kozlova, Vladislav Mikhailov, Tatiana Shavrina Article at MIT Press Presented at EMNLP 2023
Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading Comprehension Sweta Agrawal, Marine Carpuat Presented at EACL 2024 Article at MIT Press
Metric-Free Learning Network with Dual Relations Propagation for Few-Shot Aspect Category Sentiment Analysis Shiman Zhao, Yutao Xie, Wei Chen, Tengjiao Wang, Jiahui Yao, Jiabin Zheng Article at MIT Press
Exploring Human-Like Translation Strategy with Large Language Models Zhiwei He, Tian Liang, Wenxiang Jiao, Zhuosheng Zhang, Yujiu Yang, Rui Wang, Zhaopeng Tu, Shuming Shi, Xing Wang Article at MIT Press
Language Varieties of Italy: Technology Challenges and Opportunities Alan Ramponi Article at MIT Press Presented at EMNLP 2023
Red Teaming Language Model Detectors with Language Models Zhouxing Shi, Yihan Wang, Fan Yin, Xiangning Chen, Kai-Wei Chang, Cho-Jui Hsieh Article at MIT Press
Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation Lukas Edman, Gabriele Sarti, Antonio Toral, Gertjan van Noord, Arianna Bisazza Presented at EACL 2024 Article at MIT Press