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Preprint Aug 2026

DiDPO: Diff-in-Diff Policy Optimization for Coding Agent Training

DiDPO is proposed, a critic-free RL method that constructs fine-grained credit units directly from the structure of code diffs directly from the structure of code diffs, offering a principled framework for fine-grained credit assignment in coding agent training.

Xu-Cong Wang, Zhe Zhao, Li-Heng Yu et al. · 1 citation
#machine learning Preprint Aug 2026

Language-Informed Flow Matching for Trend-Guided Structure-Based 3D Molecular Generation

LiFT, a language-informed cross-modal framework built on Flow Matching for trend-guided 3D molecular generation across both de novo design and scaffold hopping, and suggests that language-derived chemical priors provide effective trend-level guidance for 3D molecular generation.

Tian-Yu Gao, Zhi-Kai Su, Jia-Shu Li et al. · 0 citations

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