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ORCIDZhexiong Liu
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2020 – today
- 2024
[c6]Tianwen Li, Zhexiong Liu, Lindsay Clare Matsumura, Elaine Wang, Diane J. Litman, Richard Correnti:
Using Large Language Models to Assess Young Students' Writing Revisions. BEA 2024: 365-380- [i8]Zhexiong Liu, Jing Zhang, Jiaying Lu, Wenjing Ma, Joyce C. Ho:
LogicPrpBank: A Corpus for Logical Implication and Equivalence. CoRR abs/2402.09609 (2024) - 2023
- [c5]Zhexiong Liu, Licheng Liu, Yiqun Xie, Zhenong Jin, Xiaowei Jia:
Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability. AAAI 2023: 14365-14373 - [c4]Zhexiong Liu, Mohamed Elaraby, Yang Zhong, Diane J. Litman:
Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining. ArgMining@EMNLP 2023: 120-132 - [c3]Zhexiong Liu, Diane J. Litman, Elaine Wang, Lindsay Clare Matsumura, Richard Correnti:
Predicting the Quality of Revisions in Argumentative Writing. BEA@ACL 2023: 275-287 - [i7]Zhexiong Liu, Diane J. Litman, Elaine Wang, Lindsay Clare Matsumura, Richard Correnti:
Predicting the Quality of Revisions in Argumentative Writing. CoRR abs/2306.00667 (2023) - [i6]Zhexiong Liu, Cristopher Benge, Siduo Jiang:
Ticket-BERT: Labeling Incident Management Tickets with Language Models. CoRR abs/2307.00108 (2023) - [i5]Zhexiong Liu, Mohamed Elaraby, Yang Zhong, Diane J. Litman:
Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining. CoRR abs/2310.12172 (2023) - 2022
- [c2]Zhexiong Liu, Meiqi Guo, Yue Dai, Diane J. Litman:
ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness Mining. ArgMining@COLING 2022: 1-18 - [c1]Ke Yu, Shantanu Ghosh, Zhexiong Liu, Christopher Deible, Kayhan Batmanghelich:
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays. MICCAI (5) 2022: 658-668 - [i4]Ke Yu, Shantanu Ghosh, Zhexiong Liu, Christopher Deible, Kayhan Batmanghelich:
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays. CoRR abs/2206.12704 (2022) - [i3]Zhexiong Liu, Meiqi Guo, Yue Dai, Diane J. Litman:
ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness Mining. CoRR abs/2209.06416 (2022) - [i2]Zhexiong Liu, Licheng Liu, Yiqun Xie, Zhenong Jin, Xiaowei Jia:
Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability. CoRR abs/2212.06864 (2022) - 2021
- [i1]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, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo
, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto, Aman Srivastava, K. V. Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang:
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. CoRR abs/2112.02721 (2021)
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