By Mr Tong Xie

Conference Papers

Liu Y; Yang Z; Xie T; Ni J; Gao B; Li Y; Tang S; Ouyang W; Cambria E; Zhou D, 2026, 'ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition', Association for Computational Linguistics (ACL), pp. 13187 - 13207, presented at Findings of the Association for Computational Linguistics: ACL 2026, http://dx.doi.org/10.18653/v1/2026.findings-acl.644

Zhang D; Wu J; Lei J; Che T; Li J; Xie T; Huang X; Zhang S; Pavone M; Li Y; Ouyang W; Zhou D, 2025, 'LLaMA-Berry: Pairwise Optimization for Olympiad-level Mathematical Reasoning via O1-like Monte Carlo Tree Search', in Proceedings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics Human Language Technologies Long Papers Naacl Hlt 2025, pp. 7315 - 7337, http://dx.doi.org/10.18653/v1/2025.naacl-long.375

Yang Z; Liu W; Gao B; Xie T; Li Y; Ouyang W; Poria S; Cambria E; Zhou D, 2025, 'MOOSE-CHEM: LARGE LANGUAGE MODELS FOR REDISCOVERING UNSEEN CHEMISTRY SCIENTIFIC HYPOTHESES', in 13th International Conference on Learning Representations Iclr 2025, pp. 94875 - 94901

Yang Z; Liu W; Gao B; Liu Y; Li W; Xie T; Bing L; Ouyang W; Cambria E; Zhou D, 2025, 'MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search', in Advances in Neural Information Processing Systems, pp. 98931 - 98962

Xie T; Zhang H; Wang S; Wan Y; Razzak I; Kit C; Zhang W; Hoex B, 2024, 'ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity', in IEEE International Conference on Data Mining Workshops Icdmw, pp. 907 - 911, http://dx.doi.org/10.1109/ICDMW65004.2024.00126

Ye Y; Ren J; Wang S; Wan Y; Razzak I; Hoex B; Wang H; Xie T; Zhang W, 2024, 'Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model', in Advances in Neural Information Processing Systems

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