Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Embedding Perturbation may Better Reflect Intermediate-Step Uncertainty in LLM Reasoning
Qihao Wen, Jiahao Wang, Yang Nan +3
Large language Models (LLMs) have achieved significant breakthroughs across diverse domains; however, they can still produce unreliable or misleading outputs. For responsible LLM a…
cs.LG2026
Interpretable Probability Estimation with LLMs via Shapley Reconstruction
Yang Nan, Qihao Wen, Jiahao Wang +4
Large Language Models (LLMs) demonstrate potential to estimate the probability of uncertain events, by leveraging their extensive knowledge and reasoning capabilities. This ability…