FIELD NOTES TOPIC
benchmark results
2 notes, newest first.
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.
