From Intent to Execution: Composing Agentic Workflows with Agent Recommendation
arXiv:2605.03986v1 Announce Type: new Abstract: Multi-Agent Systems (MAS) built using AI agents fulfill a variety of user intents that may…
arXiv:2605.03986v1 Announce Type: new Abstract: Multi-Agent Systems (MAS) built using AI agents fulfill a variety of user intents that may…
arXiv:2605.03808v1 Announce Type: new Abstract: Agentic data science (ADS) systems are rapidly improving their capability to autonomously analyze, fit, and…
arXiv:2605.03863v1 Announce Type: new Abstract: The visual environment is a fundamental yet unquantified determinant of mental health. While the concept…
arXiv:2605.03625v1 Announce Type: new Abstract: Generative models trained on synthetic plan data are a promising approach to generalized planning. Recent…
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:2605.02777v2 Announce Type: replace-cross Abstract: Offline safe reinforcement learning often requires policies to adapt at deployment time to safety budgets…
arXiv:2605.03514v1 Announce Type: cross Abstract: The remarkable success of large language models (LLMs) has motivated researchers to adapt them as…
Nature Machine Intelligence, Published online: 07 May 2026; doi:10.1038/s42256-026-01235-7 Li and Walsh show that a unified ‘platonic’ geometry emerges across…
Nature Machine Intelligence, Published online: 07 May 2026; doi:10.1038/s42256-026-01241-9 A promising foundation model is developed for a range of downstream…