arXiv:2605.04057v2 Announce Type: replace-cross Abstract: This paper focuses on a key challenge in Neural Architecture Search (NAS): integrating established architectural…
arXiv:2605.06111v1 Announce Type: cross Abstract: Reinforcement learning (RL) with verifiable rewards has proven effective at post-training LLMs for coding, yet…
arXiv:2605.03863v1 Announce Type: new Abstract: The visual environment is a fundamental yet unquantified determinant of mental health. While the concept…
arXiv:2605.02777v2 Announce Type: replace-cross Abstract: Offline safe reinforcement learning often requires policies to adapt at deployment time to safety budgets…
arXiv:2605.03625v1 Announce Type: new Abstract: Generative models trained on synthetic plan data are a promising approach to generalized planning. Recent…
arXiv:2605.03520v1 Announce Type: cross Abstract: We propose a neural parameterization of convex sets by learning sublinear (positively homogeneous and convex)…
arXiv:2605.03762v1 Announce Type: new Abstract: Large language models are moving from static text generators toward real-world decision-support systems, where forecasting…
arXiv:2605.02910v2 Announce Type: new Abstract: Recent advances in large language models have led to strong performance on reasoning and environment-interaction…
arXiv:2605.03986v1 Announce Type: new Abstract: Multi-Agent Systems (MAS) built using AI agents fulfill a variety of user intents that may…
