Evaluating Agentic Capabilities Before Post-Training: An End-to-End Approach.

arXiv:2610.19425v1 Announce Type: new Abstract: Agentic capabilities are increasingly important for modern LLMs, yet remain difficult to evaluate during pretraining. Existing approaches typically rely on static trajectory-derived tasks or likelihood-based prox