HF Daily Papers
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NexForge: Scaling Agent Capabilities through Requirement-Driven Task Synthesis for LLMs
Scaling executable agent training data for LLM post-training is bottlenecked by substrate-bound methods that tie task generation to predefined tools, repositories, or skill graphs: expanding coverage requires manual substrate engineering, each new domain demands a bespoke pipeline, and the resulting