Author

Lijiang Huang

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Preprint Aug 2026

SyPS: Measuring Sycophancy Prompt Sensitivity in Large Language Models

Large language models (LLMs) are known to exhibit social sycophancy, often validating or agreeing with users in socially sensitive contexts. Existing evaluations typically measure sycophancy under a fixed prompt formulation, leaving unclear whether such behavior is stable when the same underlying situation is presented...

Lijiang Huang, Yao Fu, Si-Hao Ren · 1 citation

Preprint Aug 2026

An LLM agent for end-to-end computational materials discovery

By connecting the heterogeneous stages of computational materials discovery, the LLM-based agents of MAESTRO can operate across application domains and uncover high-performance materials that conventional screening approaches would be unlikely to consider.

Yun-Tong Chen, Ju Huang, Yu Liu et al. · 0 citations