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cs.LG2024
Hallucination Detection in LLMs: Fast and Memory-Efficient Fine-Tuned Models
Gabriel Y. Arteaga, Thomas B. Schön, Nicolas Pielawski
Uncertainty estimation is a necessary component when implementing AI in high-risk settings, such as autonomous cars, medicine, or insurances. Large Language Models (LLMs) have seen…
cs.LG2024
Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning
Ruoqi Zhang, Ziwei Luo, Jens Sjölund +2
This paper presents advanced techniques of training diffusion policies for offline reinforcement learning (RL). At the core is a mean-reverting stochastic differential equation (SD…