3 papers
cs.CL2026
When Personality Meets Quantization: A Layer-wise MBTI Analysis of Quantized LLMs
Yao Fu, Lijia Huang, Xiaomin Li +3
Personality is increasingly important in large language models (LLMs), as it shapes users' trust, engagement, and emotional experiences. While the Myers--Briggs Type Indicator (MBT…
cs.AI2026
SyPS: Measuring Sycophancy Prompt Sensitivity in Large Language Models
Lijia Huang, Yao Fu, Sihao Ren
Large language models (LLMs) are known to exhibit social sycophancy, often validating or agreeing with users in socially sensitive contexts. Existing evaluations typically measure…
cond-mat.mtrl-sci2026
An LLM agent for end-to-end computational materials discovery
Chen Yuntong, Huang Ju, Liu Yu +6
The coordination of multi-scale tasks is an effective strategy for computational materials discovery, yet the repeated application of diverse algorithms and tools renders it challe…