SR²AM: Efficient Agentic Reasoning Through Self-Regulated Simulative Planning
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Updated
May 22, 2026 - Python
SR²AM: Efficient Agentic Reasoning Through Self-Regulated Simulative Planning
[ICML 2026] VideoSEAL: Mitigating Evidence Misalignment in Agentic Long Video Understanding by Decoupling Answer Authority
Markdown playbook that turns any agentic LLM into a per-job resume tailor. No fabrication, no AI filler, no servers. Powered by open-ATS.
Declarative configuration for self-contained launchers of local language models. Includes download manifests, validation scripts, documentation, and .cmd launchers with all inference parameters materialized.
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