Xuesong He — 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

On the Superimposed Noise Accumulation Problem in Sequential Knowledge Editing of Large Language Models

Ding Cao, Yuchen Cai, Yuqing Huang, Xuesong He, Rongxi Guo, Guiquan Liu +1

AAAI 2026technical

Sequential knowledge editing techniques aim to continuously update knowledge in large language models at low cost, preventing models from generating outdated or incorrect information. However, existing sequential editing methods suffer from a significant decline in editing success rates after long-t

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