2 papers
cs.CL2026
On Calibration of Large Language Models: From Response To Capability
Sin-Han Yang, Cheng-Kuang Wu, Chieh-Yen Lin +3
Large language models (LLMs) are widely deployed as general-purpose problem solvers, making accurate confidence estimation critical for reliable use. Prior work on LLM calibration…
cs.LG2025
Variational Learning Induces Adaptive Label Smoothing
Sin-Han Yang, Zhedong Liu, Gian Maria Marconi +1
We show that variational learning naturally induces an adaptive label smoothing where label noise is specialized for each example. Such label-smoothing is useful to handle examples…