2026
Textual Bayes: Quantifying Uncertainty in LLM-Based Systems
ICLR 2026poster
Although large language models (LLMs) are becoming increasingly capable of solving challenging real-world tasks, accurately quantifying their uncertainty remains a critical open problem—one that limits their applicability in high-stakes domains. This challenge is further compounded by the closed-sou…