Papers by Xianrui Zhong
Reaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data (2023.emnlp-demo)
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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, Jiawei Han
| Challenge: | Reaction Miner is a system designed to extract chemical reactions from raw scientific PDFs. |
| Approach: | They propose a system that extracts chemical reactions directly from raw scientific PDFs. |
| Outcome: | The proposed system can extract chemical reactions from raw scientific PDFs. |
ActionIE: Action Extraction from Scientific Literature with Programming Languages (2024.acl-long)
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Xianrui Zhong, Yufeng Du, Siru Ouyang, Ming Zhong, Tingfeng Luo, Qirong Ho, Hao Peng, Heng Ji, Jiawei Han
| Challenge: | a method that extracts experimental procedures from human language into actionable sequences in robotics language is challenging given the complexity of the instructions and context-dependent nature of the instruction. |
| Approach: | They propose a method that converts actions written in natural language into Python code that can be easily translated into robotics language. |
| Outcome: | The proposed method can extract experimental procedures from human language into actionable sequences in robotics language. |
From Personal to Collective: On the Role of Local and Global Knowledge in LLM Personalization (2026.findings-acl)
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| Challenge: | Large language models (LLMs) are the backbone of modern AI systems supporting a wide range of applications. |
| Approach: | They propose a Local–Global knowledge framework that augments user-specific signals with a global knowledge encoding collective behavioral trends. |
| Outcome: | The proposed framework outperforms existing methods on five personalization benchmarks. |