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cs.LG2026
Learning POMDP World Models from Observations with Language-Model Priors
Valentin Six, Frederik Panse, Mathis Fajeau +7
Whether navigating a building, operating a robot, or playing a game, an agent that acts effectively in an environment must first learn an internal model of how that environment wor…
cs.LG2025
Uncertainty Quantification of Large Language Models using Approximate Bayesian Computation
Mridul Sharma, Adeetya Patel, Zaneta D' Souza +3
Despite their widespread applications, Large Language Models (LLMs) often struggle to express uncertainty, posing a challenge for reliable deployment in high stakes and safety crit…