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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.
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.