3 papers
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.CL2026
OMIND: Framework for Knowledge Grounded Finetuning and Multi-Turn Dialogue Benchmark for Mental Health LLMs
Suraj Racha, Prashant Harish Joshi, Utkarsh Maurya +6
Large Language Models (LLMs) have shown remarkable capabilities for complex tasks, yet adaptation in medical domain, specifically mental health, poses specific challenges. Mental h…
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…