Author

Junjie Huang

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#software testing Preprint Oct 2026

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. · 0 citations

#natural language process... Review Aug 2026

From Final Artifacts to Trajectories: Retrospective Process Supervision for Evidence-Grounded Long-Form Generation

The key observation is that although expert trajectories are scarce, high-quality final artifacts such as literature reviews, analyst reports and legal judgments, are abundant in pre-training data and can be viewed as compressed traces of the evidence-seeking processes that produced them.

Junjie Huang, Jiarui Qin, Di Yin et al. · 0 citations