Author

Sijin Dong

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Open access Oct 2026

Fixed-Sequence Confidence-Interval Calibration for Finite-Sample Selective Risk Control

Selective prediction requires a statistically reliable rule for deciding which model outputs can be returned while controlling the error rate among accepted predictions. In large language model (LLM) applications, uncertainty scores provide useful ranking information, but directly thresholding such scores does not yiel...

Si-Jin Dong, Xin-Yu Hao, Hiroyuki Shinnou · Stats · 0 citations

Jul 2026

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees

Experimental results show that CIC consistently achieves valid risk control while retaining strong answering efficiency, providing a practical and statistically grounded mechanism for deploying LLMs in reliability-sensitive QA workflows.

Sijin Dong, Hiroyuki Shinnou · arXiv.org · 0 citations

Preprint Aug 2026

Asymptotic Risk Calibration for Selective Question Answering

A-CRC-QA is a post-hoc calibration framework for uncertainty-aware selective question answering that reformulates selection-conditioned error control as a linear expectation constraint and applies a monotonized empirical-risk calibration procedure inspired by conformal risk control.

Shufan Lin, Si-Jin Dong · 0 citations