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Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning
The paper introduces Argus, a persistent and self-evolving runtime system designed for long-term reasoning. This system separates stable user intent from operational objectives and allows for the addition of various…
DataOrchestra: Learning to Orchestrate Per-Example Curation of Pretraining Data
Researchers propose a framework called DataOrchestra that adapts data processing strategies for each example in Large Language Models (LLMs) pretraining, improving performance across 11 benchmarks.
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
