Author

Shen-Yu Zhang

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Preprint Sep 2026

Dissecting Advantage-Guided Post-Training for Vision-Language-Action Policies

Advantage-guided reinforcement learning provides a practical way to post-train vision-language-action (VLA) policies using limited robot data. However, its performance depends on several coupled choices, including how critic-derived advantages are constructed, calibrated, and used for policy training. Existing recipes...

Jia-Hang Cao, Han-Ye Zhao, Hang Lai et al. · 0 citations

Conference Open access Sep 2026

NaVQA: Mitigating Silent Failures in Question Answering over Virtual Knowledge Graph

This paper studies the VKG-QA task, which enables users to interact with the VKGs through a natural language (NL) interface by translating their questions into SPARQL queries, and pro-poses NaVQA (Navigation-based VKG Question Answering), a framework leveraging Large Language Models.

Guohui Xiao, Haohan Xue, Lin Ren et al. · Proceedings of the Thirty-Fi... · 0 citations