24 citations · 48 across the 8 of their papers we have counts for
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cs.CL2026
Estimating the Black-box LLM Uncertainty with Distribution-Aligned Adversarial Distillation
Huizi Cui, Huan Ma, Qilin Wang +2
Large language models (LLMs) have progressed rapidly in complex reasoning and question answering, yet LLM hallucination remains a central bottleneck that hinders practical deployme…
cs.CL2025★ 1 cited
Estimating LLM Uncertainty with Evidence
Huan Ma, Jingdong Chen, Joey Tianyi Zhou +2
Over the past few years, Large Language Models (LLMs) have developed rapidly and are widely applied in various domains. However, LLMs face the issue of hallucinations, generating r…
cs.CL2023★ 24 cited
Fairness-guided Few-shot Prompting for Large Language Models
Huan Ma, Changqing Zhang, Yatao Bian +7
Large language models have demonstrated surprising ability to perform in-context learning, i.e., these models can be directly applied to solve numerous downstream tasks by conditio…