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cs.AI2026
Plan-and-Patch: Diffusion Language Models for Agentic Planning
Syamantak Kumar, Jiang Guo, Hassan Hamad +6
Planning is increasingly important for long-horizon agents, where successful execution requires coordinating subgoals, tool use, and intermediate outcomes over many steps. Yet assu…
cs.LG2026
Supplement Generation Training for Enhancing Agentic Task Performance
Young Min Cho, Daniele Bonadiman, Divya Bhargavi +8
Training large foundation models for agentic tasks is increasingly impractical due to the high computational costs, long iteration cycles, and rapid obsolescence as new models are…