Author

Sanghwan Jang

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#artificial intelligence Preprint Sep 2026

Difficulty-Adaptive Tree-Structured Policy Optimization for Expanding Reasoning Coverage in RLVR

DATPO (Difficulty-Adaptive Sentence-entropy-guided Tree-structured Policy Optimization) integrates difficulty-adaptive tree search with a sibling-diversity advantage term, explicitly promoting semantic diversity to expand reasoning coverage during training.

Young Kyu Yu, Sanghwan Jang, Hwanjo Yu · 2 citations

Preprint Aug 2026

RA-VLA: Retrieval-Augmented VLA for Test-Time Adaptation

RA-VLA is presented, a retrieval-augmented VLA framework that integrates behavior-aligned context retrieval with a grounded execution pipeline that facilitates seamless task adaptation while preserving inference efficiency.

Sanghwan Jang, Minjin Jeon, Minsoo Kim et al. · 1 citation