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Jin-Han Li

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Open access 2026

Auditable LLM Safety-Judge Selection via Confidence-Interval Filtering on Unsafe Recall

A confidence-interval (CI) filtered two-stage judge-screening framework that reduces the rate of selecting judges that fail the unsafe-recall screen by an order of magnitude and emits an explicit low-confidence or abort verdict when no judge has sufficient calibration evidence.

Ji-Xiang Yang, Jun-Fei Yi, Jin-Han Li et al. · 0 citations
Conference Jul 2026

Zero-Shot Embodied Decision Making with Structured Prior Knowledge and Adaptive Calibration in ALFWorld

Large-language-model (LLM) agents perform well in embodied benchmarks but are costly, stochastic, and difficult to audit. We propose an LLM-free zero-shot decision agent for ALFWorld that combines structured commonsense priors with adaptive calibration. The agent uses object-location priors, task templates, synonym map...

Shengjie Ma, Jin-Han Li, Guo-An Zhang et al. · 0 citations

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