Author

Heng-Yu Jin

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Preprint Aug 2026

CODE: Cross-Modal Calibration and Dynamic Suppression for Open World Object Detection

Open World Object Detection (OWOD) built on multimodal foundation models often suffers from semantic ambiguity caused by unidirectional text-to-vision matching, while rigid outlier penalties may over-suppress unknown objects near known-class decision boundaries. We propose CODE (Cross-Modal Calibration and Dynamic Supp...

Hao Xu, Zhao-Ning Shi, Heng-Yu Jin et al. · 0 citations

#machine learning Jul 2026

Final Checkpoints Are Not Enough: Analyzing Latent Reasoning Faithfulness Along Training Trajectories

These results show that evaluating only a final checkpoint can obscure both when counterfactual responsiveness changes and what the latent states contribute, and show that high task accuracy can coexist with low counterfactual responsiveness.

Heng-Yu Jin, Shu Yang, Di Wang · arXiv.org · 1 citation