← Search

Yubing Jian

2 accepted papers

2026

Enhancing Hallucination Detection through Noise Injection

ICLR 2026poster

Large Language Models (LLMs) are prone to generating plausible yet incorrect responses, known as hallucinations. Effectively detecting hallucinations is therefore crucial for the safe deployment of LLMs. Recent research has linked hallucinations to model uncertainty, suggesting that hallucinations…

Cited by 0SourceScholar
2026

From Out-of-Distribution Detection to Hallucination Detection: A Geometric View

ICML 2026poster

Detecting hallucinations in large language models is a critical open problem with significant implications for safety and reliability. While existing hallucination detection methods achieve strong performance in question‑answering tasks, they remain less effective on tasks requiring reasoning. In th…

Cited by 0SourceScholar