NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. - Kaustubh D. Dhole; Varun Gangal; Sebastian Gehrmann; Aadesh Gupta; Zhenhao Li; Saad Mahamood; Abinaya Mahendiran; Simon Mille; Ashish Srivastava; Samson Tan; Tongshuang Wu; Jascha Sohl-Dickstein; et al. (CoRR, 2021)

ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness Mining. - Zhexiong Liu; Meiqi Guo; Yue Dai; Diane J. Litman (ArgMining@COLING, 2022)

Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays. - Ke Yu; Shantanu Ghosh; Zhexiong Liu; Christopher Deible; Kayhan Batmanghelich (MICCAI (5), 2022)

Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability. - Zhexiong Liu; Licheng Liu; Yiqun Xie; Zhenong Jin; Xiaowei Jia (AAAI, 2023)

Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining. - Zhexiong Liu; Mohamed Elaraby; Yang Zhong; Diane J. Litman (ArgMining@EMNLP, 2023)

Predicting the Quality of Revisions in Argumentative Writing. - Zhexiong Liu; Diane J. Litman; Elaine Wang 001; Lindsay Clare Matsumura; Richard Correnti (BEA@ACL, 2023)

Ticket-BERT: Labeling Incident Management Tickets with Language Models. - Zhexiong Liu; Cristopher Benge; Siduo Jiang (CoRR, 2023)

Using Large Language Models to Assess Young Students' Writing Revisions. - Tianwen Li; Zhexiong Liu; Lindsay Clare Matsumura; Elaine Wang 001; Diane J. Litman; Richard Correnti (BEA, 2024)

LogicPrpBank: A Corpus for Logical Implication and Equivalence. - Zhexiong Liu; Jing Zhang; Jiaying Lu 001; Wenjing Ma; Joyce C. Ho (CoRR, 2024)

eRevise+RF: A Writing Evaluation System for Assessing Student Essay Revisions and Providing Formative Feedback. - Zhexiong Liu; Diane J. Litman; Elaine Wang 001; Tianwen Li; Mason Gobat; Lindsay Clare Matsumura; Richard Correnti (CoRR, 2025)