Evaluating Agentic Capabilities Before Post-Training: An End-to-End Approach
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 proxies, which are lightweight but provide limited visibility into how base models behave in interactive environ...
Jia-Rui Qin, Jun-Jie Huang, Yun-Jia Xi et al.
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