Author

Jinpeng Li

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Preprint Sep 2026

PLRS-IC: A Dual-Calibration Framework for Chest X-Ray Vision-Language Alignment

Fine-grained vision-language alignment in chest radiography enables zero-shot classification, grounding, and segmentation without task-specific annotations. However, this alignment is fundamentally hindered by two intertwined sources of ambiguity: projection-induced visual mismatch and patient-agnostic semantic overlap...

Qi-Xing Zhao, Jin-Peng Li · 0 citations

#artificial intelligence Preprint Sep 2026

Noisy Test-Time Reinforcement Learning for Code LLMs

The Noisy Test-time Reinforcement Learning framework (NTRL-Code) is proposed, which enables robust self-evolution of code LLMs using only unlabeled noisy data during the testing stage, and employs an abstract-syntax-tree (AST)-based structural aggregation mechanism to estimate a proxy target from multiple candidate pro...

Xi-Kai Yang, Hieu Trung Nguyen, Dun-Yuan Xu et al. · 0 citations

#machine learning Open access Sep 2025

Unified and explainable molecular representation learning for imperfectly annotated data from the hypergraph view

OmniMol is presented, a framework using hypergraphs to improve predictions of molecular properties, addressing challenges of imperfect data annotation and enhancing model explainability, and achieves state-of-the-art performance in properties prediction.

Bowen Wang, Junyou Li, Donghao Zhou et al. · Nature Communications · 11 citations