Update publications.md

_pages/publications.md

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 1. Zhenyu Bi, Minghao Xu, Jian Tang, and **Xuan Wang**, "AI for Science in the Era of Large Language Models”, in Proc. 2024 Annual Meeting of the Association for Computational Linguistics  (**ACL’24**) (Conference Tutorial), Bangkok, Thailand, August 2024
 
 ## 2023
-1. Daniel Hajialigol, Derek Kaknes, Tanner Barbour, Daphne Yao, Chris North, Jimeng Sun, David Liem, and **Xuan Wang**, “DRGCoder: Explainable Clinical Coding for the Early Prediction of Diagnostic-Related Groups”, in Proc. 2023 Conf. on Empirical Methods in Natural Language Processing (**EMNLP’23**) (System Demonstration), Singapore, December 2023
-2. Ming Zhong, Siru Ouyang, Yizhu Jiao, Priyanka Kargupta, Leo Luo, Yanzhen Shen, Bobby Zhou, Xianrui Zhong, Xuan Liu, Hongxiang Li, Jinfeng Xiao, Minhao Jiang, Vivian Hu, **Xuan Wang**, Heng Ji, Martin Burke, Huimin Zhao, and Jiawei Han, “Reaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data”, in Proc. 2023 Conf. on Empirical Methods in Natural Language Processing (**EMNLP’23**) (System Demonstration), Singapore, December 2023
-3. Pengcheng Jiang, Shivam Agarwal, Bowen Jin, **Xuan Wang**, Jimeng Sun and Jiawei Han, “Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models”, in Proc. 2023 Findings of Annual Meeting of the Association for Computational Linguistics (**ACL’23**), Toronto, Canada, July 2023
-4. Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, **Xuan Wang** and Jiawei Han “ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision”, in Proc. 2023 Findings of Annual Meeting of the Association for Computational Linguistics (**ACL’23**), Toronto, Canada, July 2023
+1. Priyanka Kargupta, Tanay Komarlu, Susik Yoon, **Xuan Wang**, and Jiawei Han, “MEGClass: Text Classification with Extremely Weak Supervision via Mutually-Enhancing Text Granularities”, in Proc. 2023 Conf. on Findings of Empirical Methods in Natural Language Processing (**EMNLP’23**), Singapore, December 2023
+2. Daniel Hajialigol, Derek Kaknes, Tanner Barbour, Daphne Yao, Chris North, Jimeng Sun, David Liem, and **Xuan Wang**, “DRGCoder: Explainable Clinical Coding for the Early Prediction of Diagnostic-Related Groups”, in Proc. 2023 Conf. on Empirical Methods in Natural Language Processing (**EMNLP’23**) (System Demonstration), Singapore, December 2023
+3. Ming Zhong, Siru Ouyang, Yizhu Jiao, Priyanka Kargupta, Leo Luo, Yanzhen Shen, Bobby Zhou, Xianrui Zhong, Xuan Liu, Hongxiang Li, Jinfeng Xiao, Minhao Jiang, Vivian Hu, **Xuan Wang**, Heng Ji, Martin Burke, Huimin Zhao, and Jiawei Han, “Reaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data”, in Proc. 2023 Conf. on Empirical Methods in Natural Language Processing (**EMNLP’23**) (System Demonstration), Singapore, December 2023
+4. Pengcheng Jiang, Shivam Agarwal, Bowen Jin, **Xuan Wang**, Jimeng Sun and Jiawei Han, “Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models”, in Proc. 2023 Findings of Annual Meeting of the Association for Computational Linguistics (**ACL’23**), Toronto, Canada, July 2023
+5. Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, **Xuan Wang** and Jiawei Han “ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision”, in Proc. 2023 Findings of Annual Meeting of the Association for Computational Linguistics (**ACL’23**), Toronto, Canada, July 2023
 
 ## Patents
 1. Gaetano Rosielo, Alfio Massimiliano Gliozo, **Xuan Wang**, “Transformer-Based Model Knowledge Graph Link Prediction”, No.US20220327356A1 (submitted, under IBM Research).