3 papers
cs.CL2026
Mind the Unseen Mass: Unmasking LLM Hallucinations via Soft-Hybrid Alphabet Estimation
Hongxing Pan, Yingying Guo, Wenqing Kuang +1
This paper studies uncertainty quantification for large language models (LLMs) under black-box access, where only a small number of responses can be sampled for each query. In this…
cs.LG2025
MDD-Thinker: Towards Large Reasoning Models for Major Depressive Disorder Diagnosis
Yuyang Sha, Hongxin Pan, Gang Luo +3
Background Major depressive disorder (MDD) is a leading cause of global disability, yet current diagnostic approaches often rely on subjective assessments and lack the ability to i…
cs.CL2025
MDD-LLM: Towards Accuracy Large Language Models for Major Depressive Disorder Diagnosis
Yuyang Sha, Hongxin Pan, Wei Xu +7
Major depressive disorder (MDD) impacts more than 300 million people worldwide, highlighting a significant public health issue. However, the uneven distribution of medical resource…