2 papers
cs.CL2026
Asymptotic Risk Calibration for Selective Question Answering
Shufan Lin, Sijin Dong
Large language models (LLMs) may generate fluent but incorrect answers, making uncertainty quantification important for reliable question answering. However, heuristic uncertainty…
cs.CL2026
Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees
Sijin Dong, Hiroyuki Shinnou
Large language models (LLMs) are increasingly deployed in question answering (QA) systems, yet they may generate hallucinated or misaligned responses without reliable confidence es…