Huadong Liang — accepted AI-conference papers

2026

ChemEval: A Multi-level and Fine-grained Chemical Capability Evaluation for Large Language Models

Yuqing Huang, Rongyang Zhang, Xuesong He, Xuyang Zhi, Hao Wang, Nuo Chen +13

ICLR 2026poster

The emergence of Large Language Models (LLMs) in chemistry marks a significant advancement in applying artificial intelligence to chemical sciences. While these models show promising potential, their effective application in chemistry demands sophisticated evaluation protocols that address the field…

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2026

ChemKGL: Bridging Knowledge Graphs and Large Language Models for Chemical Multi-Step Reaction Pathway Inference

Fan Yang, Feiyang Xu, Kun Zhang, Huadong Liang, Pengyang Shao, Xin Li +1

IJCAI 2026

Large language models have shown promising potential in chemistry, with prior work exploring molecular recognition, classification, and property prediction. Despite the achieved progress, LLMs are still far from satisfactory when dealing with complex chemical multi-step reaction pathway inference ta

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