Tong Xie

According to our database, Tong Xie authored at least 25 papers between 2022 and 2025.

Collaborative distances:

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

2025

DrugMCTS: a drug repurposing framework combining multi-agent, RAG and Monte Carlo Tree Search.

Zerui Yang, Yuwei Wan, Siyu Yan, Yudai Matsuda, Tong Xie, Bram Hoex, Linqi Song

CoRR, July, 2025

Position: Intelligent Science Laboratory Requires the Integration of Cognitive and Embodied AI.

Sha Zhang, Suorong Yang, Tong Xie, Xiangyuan Xue, Zixuan Hu, Rui Li, Wenxi Qu, Zhenfei Yin, Tianfan Fu, Di Hu, Andres M. Bran, Nian Ran, Bram Hoex, Wangmeng Zuo, Philippe Schwaller, Wanli Ouyang, Lei Bai, Yanyong Zhang, Lingyu Duan, Shixiang Tang, Dongzhan Zhou

CoRR, June, 2025

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning.

Mengsong Wu, YaFei Wang, Yidong Ming, Yuqi An, Yuwei Wan, Wenliang Chen, Binbin Lin, Yuqiang Li, Tong Xie, Dongzhan Zhou

CoRR, June, 2025

MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search.

Zonglin Yang, Wanhao Liu, Ben Gao, Yujie Liu, Wei Li, Tong Xie, Lidong Bing, Wanli Ouyang, Erik Cambria, Dongzhan Zhou

CoRR, May, 2025

ReaLM: Reliable and Efficient Large Language Model Inference with Statistical Algorithm-Based Fault Tolerance.

Tong Xie, Jiawang Zhao, Zishen Wan, Zuodong Zhang, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li

CoRR, March, 2025

ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition.

Yujie Liu, Zonglin Yang, Tong Xie, Jinjie Ni, Ben Gao, Yuqiang Li, Shixiang Tang, Wanli Ouyang, Erik Cambria, Dongzhan Zhou

CoRR, March, 2025

Personalized Pricing and Assortment Optimization Under Consumer Choice Models with Local Network Effects.

Tong Xie, Zizhuo Wang

Oper. Res., 2025

LLaMA-Berry: Pairwise Optimization for Olympiad-level Mathematical Reasoning via O1-like Monte Carlo Tree Search.

Di Zhang, Jianbo Wu, Jingdi Lei, Tong Che, Jiatong Li, Tong Xie, Xiaoshui Huang, Shufei Zhang, Marco Pavone, Yuqiang Li, Wanli Ouyang, Dongzhan Zhou

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses.

Zonglin Yang, Wanhao Liu, Ben Gao, Tong Xie, Yuqiang Li, Wanli Ouyang, Soujanya Poria, Erik Cambria, Dongzhan Zhou

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Data Attribution for Diffusion Models: Timestep-induced Bias in Influence Estimation.

Tong Xie, Haoyu Li, Andrew Bai, Cho-Jui Hsieh

Trans. Mach. Learn. Res., 2024

Creation of a structured solar cell material dataset and performance prediction using large language models.

Tong Xie, Yuwei Wan, Yufei Zhou, Wei Huang, Yixuan Liu, Qingyuan Linghu, Shaozhou Wang, Chunyu Kit, Clara Grazian, Wenjie Zhang, Bram Hoex

Patterns, 2024

Opinion Mining by Convolutional Neural Networks for Maximizing Discoverability of Nanomaterials.

Tong Xie, Yuwei Wan, Haoran Wang, Ina Østrøm, Shaozhou Wang, Mingrui He, Rong Deng, Xinyuan Wu, Clara Grazian, Chunyu Kit, Bram Hoex

J. Chem. Inf. Model., 2024

Does Few-Shot Learning Help LLM Performance in Code Synthesis?

Derek Xu, Tong Xie, Botao Xia, Haoyu Li, Yunsheng Bai, Yizhou Sun, Wei Wang

CoRR, 2024

From Tokens to Materials: Leveraging Language Models for Scientific Discovery.

Yuwei Wan, Tong Xie, Nan Wu, Wenjie Zhang, Chunyu Kit, Bram Hoex

CoRR, 2024

LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning.

Di Zhang, Jianbo Wu, Jingdi Lei, Tong Che, Jiatong Li, Tong Xie, Xiaoshui Huang, Shufei Zhang, Marco Pavone, Yuqiang Li, Wanli Ouyang, Dongzhan Zhou

CoRR, 2024

SciQAG: A Framework for Auto-Generated Scientific Question Answering Dataset with Fine-grained Evaluation.

Yuwei Wan, Aswathy Ajith, Yixuan Liu, Ke Lu, Clara Grazian, Bram Hoex, Wenjie Zhang, Chunyu Kit, Tong Xie, Ian T. Foster

CoRR, 2024

Construction of Functional Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model.

Yanpeng Ye, Jie Ren, Shaozhou Wang, Yuwei Wan, Imran Razzak, Tong Xie, Wenjie Zhang

CoRR, 2024

Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model.

Yanpeng Ye, Jie Ren, Shaozhou Wang, Yuwei Wan, Imran Razzak, Bram Hoex, Haofen Wang, Tong Xie, Wenjie Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity.

Tong Xie, Hanzhi Zhang, Shaozhou Wang, Yuwei Wan, Imran Razzak, Chunyu Kit, Wenjie Zhang, Bram Hoex

Proceedings of the IEEE International Conference on Data Mining, 2024

Filamentary Convolution for Spoken Language Identification: A Brain-Inspired Approach.

Boyuan Zhang, Shuyuan Zhu, Tong Xie, Xibang Yang, Yahui Liu, Bing Zeng

Proceedings of the IEEE International Conference on Acoustics, 2024

ASCEND: Accurate yet Efficient End-to-End Stochastic Computing Acceleration of Vision Transformer.

Tong Xie, Yixuan Hu, Renjie Wei, Meng Li, Yuan Wang, Runsheng Wang, Ru Huang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

DARWIN Series: Domain Specific Large Language Models for Natural Science.

Tong Xie, Yuwei Wan, Wei Huang, Zhenyu Yin, Yixuan Liu, Shaozhou Wang, Qingyuan Linghu, Chunyu Kit, Clara Grazian, Wenjie Zhang, Imran Razzak, Bram Hoex

CoRR, 2023

Large Language Models as Master Key: Unlocking the Secrets of Materials Science with GPT.

Tong Xie, Yuwei Wan, Wei Huang, Yufei Zhou, Yixuan Liu, Qingyuan Linghu, Shaozhou Wang, Chunyu Kit, Clara Grazian, Wenjie Zhang, Bram Hoex

CoRR, 2023

2022

Interdisciplinary Discovery of Nanomaterials Based on Convolutional Neural Networks.

Tong Xie, Yuwei Wan, Weijian Li, Qingyuan Linghu, Shaozhou Wang, Yalun Cai, Han Liu, Chunyu Kit, Clara Grazian, Bram Hoex

CoRR, 2022

Personalized Assortment Optimization Under Consumer Choice Models with Local Network Effects.

Tong Xie, Zizhuo Wang

Proceedings of the Web and Internet Economics - 18th International Conference, 2022