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cs.LG2026
Discrete Diffusion Language Models Are Training-Free Multi-Label Classifiers
Pawan Kumar
We present dLLM-SetScore, a training-free method that uses discrete masked-diffusion language models for multi-label text classification. For each candidate label, it asks a short…
cs.LG2025
A Survey of Safe Reinforcement Learning and Constrained MDPs: A Technical Survey on Single-Agent and Multi-Agent Safety
Ankita Kushwaha, Kiran Ravish, Preeti Lamba +1
Safe Reinforcement Learning (SafeRL) is the subfield of reinforcement learning that explicitly deals with safety constraints during the learning and deployment of agents. This surv…