2 papers
cs.CL2026
Adaptive Conformal Prediction for Improving Factuality of Generations by Large Language Models
Aleksandr Rubashevskii, Dzianis Piatrashyn, Preslav Nakov +1
Large language models (LLMs) are prone to generating factually incorrect outputs. Recent work has applied conformal prediction to provide uncertainty estimates and statistical guar…
cs.CL2026
ReDAct: Uncertainty-Aware Deferral for LLM Agents
Dzianis Piatrashyn, Nikita Kotelevskii, Kirill Grishchenkov +7
Recently, LLM-based agents have become increasingly popular across many applications, including complex sequential decision-making problems. However, they inherit the tendency of L…