Xuan Wang

According to our database, Xuan Wang authored at least 58 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

Semantic Prompting: Agentic Incremental Narrative Refinement through Spatial Semantic Interaction.

Xuxin Tang, Ibrahim Asadullah Tahmid, Eric Krokos, Kirsten Whitley, Xuan Wang, Chris North

CoRR, April, 2026

EffGen: Enabling Small Language Models as Capable Autonomous Agents.

Gaurav Srivastava, Aafiya Hussain, Chi Wang, Yingyan Celine Lin, Xuan Wang

CoRR, February, 2026

DeepEvidence: Empowering Biomedical Discovery with Deep Knowledge Graph Research.

Zifeng Wang, Zheng Chen, Ziwei Yang, Xuan Wang, Qiao Jin, Yifan Peng, Zhiyong Lu, Jimeng Sun

CoRR, January, 2026

Natural language processing of biomedical text to map and prioritize protein-disease associations in HFpEF.

Clodomir J. Santana Jr., Chitra Mukherjee, Arnib Quazi, Ronaldo Menezes, Vladimir Filkov, Dibakar Sigdel, Howard Choi, Imo Ebong, Padmini Sirish, Nicholas R. Anderson, Xuan Wang, Heng Ji, Jiawei Han, Baback Roshanravan, Leighton T. Izu, Thomas W. Smith, Nipavan Chiamvimonvat, Colleen E. Clancy, Martin Cadeiras, David Liem

Comput. Biol. Medicine, 2026

JudgeBoard: Benchmarking and Enhancing Small Language Models for Reasoning Evaluation.

Zhenyu Bi, Gaurav Srivastava, Yang Li, Swastik Roy, Meng Lu, Morteza Ziyadi, Xuan Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Hindsight is 20/20: Building Agent Memory that Retains, Recalls, and Reflects.

Chris Latimer, Nicoló Boschi, Andrew Neeser, Chris Bartholomew, Gaurav Srivastava, Xuan Wang, Naren Ramakrishnan

CoRR, December, 2025

BioArc: Discovering Optimal Neural Architectures for Biological Foundation Models.

Yi Fang, Haoran Xu, Jiaxin Han, Sirui Ding, Yizhi Wang, Yue Wang, Xuan Wang

CoRR, December, 2025

Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs.

Meng Lu, Ran Xu, Yi Fang, Wenxuan Zhang, Yue Yu, Gaurav Srivastava, Yuchen Zhuang, Mohamed Elhoseiny, Charles Fleming, Carl Yang, Zhengzhong Tu, Yang Xie, Guanghua Xiao, Hanrui Wang, Di Jin, Wenqi Shi, Xuan Wang

CoRR, November, 2025

Agentic Reasoning and Refinement through Semantic Interaction.

Xuxin Tang, Rehema Abulikemu, Eric Krokos, Kirsten Whitley, Xuan Wang, Chris North

CoRR, October, 2025

BeyondBench: Benchmark-Free Evaluation of Reasoning in Language Models.

Gaurav Srivastava, Aafiya Hussain, Zhenyu Bi, Swastik Roy, Priya Pitre, Meng Lu, Morteza Ziyadi, Xuan Wang

CoRR, September, 2025

Bridging Literature and the Universe Via A Multi-Agent Large Language Model System.

Xiaowen Zhang, Zhenyu Bi, Patrick Lachance, Xuan Wang, Tiziana di Matteo, Rupert A. C. Croft

CoRR, July, 2025

LLMThinkBench: Towards Basic Math Reasoning and Overthinking in Large Language Models.

Gaurav Srivastava, Aafiya Hussain, Sriram Srinivasan, Xuan Wang

CoRR, July, 2025

Prediction of gene regulatory connections with joint single-cell foundation models and graph-based learning.

Sindhura Kommu, Yizhi Wang, Yue Wang, Xuan Wang

Bioinform., 2025

OPTAGENT: Optimizing Multi-Agent LLM Interactions Through Verbal Reinforcement Learning for Enhanced Reasoning.

Zhenyu Bi, Meng Lu, Yang Li, Swastik Roy, Weijie Guan, Morteza Ziyadi, Xuan Wang

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

ThinkSLM: Towards Reasoning in Small Language Models.

Gaurav Srivastava, Shuxiang Cao, Xuan Wang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

DEBATE, TRAIN, EVOLVE: Self-Evolution of Language Model Reasoning.

Gaurav Srivastava, Zhenyu Bi, Meng Lu, Xuan Wang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

CONSENSAGENT: Towards Efficient and Effective Consensus in Multi-Agent LLM Interactions Through Sycophancy Mitigation.

Priya Pitre, Naren Ramakrishnan, Xuan Wang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

CROSSAGENTIE: Cross-Type and Cross-Task Multi-Agent LLM Collaboration for Zero-Shot Information Extraction.

Meng Lu, Yuzhang Xie, Zhenyu Bi, Shuxiang Cao, Xuan Wang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

STOC-TOT: Stochastic Tree-of-Thought with Constrained Decoding for Complex Reasoning in Multi-Hop Question Answering.

Zhenyu Bi, Daniel Hajialigol, Zhongkai Sun, Jie Hao, Xuan Wang

CoRR, 2024

PathoLM: Identifying pathogenicity from the DNA sequence through the Genome Foundation Model.

Sajib Acharjee Dip, Uddip Acharjee Shuvo, Tran Chau, Haoqiu Song, Petra Choi, Xuan Wang, Liqing Zhang

CoRR, 2024

EEG2TEXT: Open Vocabulary EEG-to-Text Decoding with EEG Pre-Training and Multi-View Transformer.

Hanwen Liu, Daniel Hajialigol, Benny Antony, Aiguo Han, Xuan Wang

CoRR, 2024

AI for Biomedicine in the Era of Large Language Models.

Zhenyu Bi, Sajib Acharjee Dip, Daniel Hajialigol, Sindhura Kommu, Hanwen Liu, Meng Lu, Xuan Wang

CoRR, 2024

OntoType: Ontology-Guided and Pre-Trained Language Model Assisted Fine-Grained Entity Typing.

Tanay Komarlu, Minhao Jiang, Xuan Wang, Jiawei Han

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

AI for Science in the Era of Large Language Models.

Zhenyu Bi, Minghao Xu, Jian Tang, Xuan Wang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

EEG2Text: Open Vocabulary EEG-to-Text Translation with Multi-View Transformer.

Hanwen Liu, Daniel Hajialigol, Benny Antony, Aiguo Han, Xuan Wang

Proceedings of the IEEE International Conference on Big Data, 2024

TTM-RE: Memory-Augmented Document-Level Relation Extraction.

Chufan Gao, Xuan Wang, Jimeng Sun

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

XAI-CLASS: Explanation-Enhanced Text Classification with Extremely Weak Supervision.

Daniel Hajialigol, Hanwen Liu, Xuan Wang

CoRR, 2023

PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming.

Chufan Gao, Xulin Fan, Jimeng Sun, Xuan Wang

CoRR, 2023

OntoType: Ontology-Guided Zero-Shot Fine-Grained Entity Typing with Weak Supervision from Pre-Trained Language Models.

Tanay Komarlu, Minhao Jiang, Xuan Wang, Jiawei Han

CoRR, 2023

MEGClass: Text Classification with Extremely Weak Supervision via Mutually-Enhancing Text Granularities.

Priyanka Kargupta, Tanay Komarlu, Susik Yoon, Xuan Wang, Jiawei Han

CoRR, 2023

MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text Granularities.

Priyanka Kargupta, Tanay Komarlu, Susik Yoon, Xuan Wang, Jiawei Han

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

DRGCoder: Explainable Clinical Coding for the Early Prediction of Diagnostic-Related Groups.

Daniel Hajialigol, Derek Kaknes, Tanner Barbour, Daphne Yao, Chris North, Jimeng Sun, David Liem, Xuan Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Reaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data.

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 D. Burke, Huimin Zhao, Jiawei Han

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision.

Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models.

Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Accepted Tutorials at The Web Conference 2022.

Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds.

Yu Zhang, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

New Frontiers of Scientific Text Mining: Tasks, Data, and Tools.

Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

REACTCLASS: Cross-Modal Supervision for Subword-Guided Reactant Entity Classification.

Xuan Wang, Vivian Hu, Minhao Jiang, Yu Zhang, Jinfeng Xiao, Danielle Cherrice Loving, Heng Ji, Martin D. Burke, Jiawei Han

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation.

Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Yi R. Fung, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations, 2021

ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision.

Xuan Wang, Vivian Hu, Xiangchen Song, Shweta Garg, Jinfeng Xiao, Jiawei Han

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training.

Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

InterHG: an Interpretable and Accurate Model for Hypothesis Generation.

Haoyu Wang, Xuan Wang, Yaqing Wang, Guangxu Xun, Kishlay Jha, Jing Gao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation.

Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych

CoRR, 2020

Automatic Textual Evidence Mining in COVID-19 Literature.

Xuan Wang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Jiawei Han

CoRR, 2020

Comprehensive Named Entity Recognition on CORD-19 with Distant or Weak Supervision.

Xuan Wang, Xiangchen Song, Yingjun Guan, Bangzheng Li, Jiawei Han

CoRR, 2020

Minimally Supervised Categorization of Text with Metadata.

Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Textual Evidence Mining via Spherical Heterogeneous Information Network Embedding.

Xuan Wang, Yu Zhang, Aabhas Chauhan, Qi Li, Jiawei Han

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Pattern-enhanced Named Entity Recognition with Distant Supervision.

Xuan Wang, Yingjun Guan, Yu Zhang, Qi Li, Jiawei Han

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature.

Xuan Wang, Xiangchen Song, Bangzheng Li, Kang Zhou, Qi Li, Jiawei Han

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

EVIDENCEMINER: Textual Evidence Discovery for Life Sciences.

Xuan Wang, Yingjun Guan, Weili Liu, Aabhas Chauhan, Enyi Jiang, Qi Li, David Liem, Dibakar Sigdel, John Caufield, Peipei Ping, Jiawei Han

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

2019

Cross-type biomedical named entity recognition with deep multi-task learning.

Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis P. Langlotz, Jiawei Han

Bioinform., 2019

HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories.

Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion.

Xuan Wang, Yu Zhang, Qi Li, Xiang Ren, Jingbo Shang, Jiawei Han

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Pattern Discovery for Wide-Window Open Information Extraction in Biomedical Literature.

Qi Li, Xuan Wang, Yu Zhang, Fei Ling, Cathy H. Wu, Jiawei Han

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

PENNER: Pattern-enhanced Nested Named Entity Recognition in Biomedical Literature.

Xuan Wang, Yu Zhang, Qi Li, Cathy H. Wu, Jiawei Han

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Open Information Extraction with Meta-pattern Discovery in Biomedical Literature.

Xuan Wang, Yu Zhang, Qi Li, Yinyin Chen, Jiawei Han

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017

Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences.

Xiang Ren, Jiaming Shen, Meng Qu, Xuan Wang, Zeqiu Wu, Qi Zhu, Meng Jiang, Fangbo Tao, Saurabh Sinha, David Liem, Peipei Ping, Richard M. Weinshilboum, Jiawei Han

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017