Pucheng Han

WEATHER-R1: LOGICALLY CONSISTENT REINFORCEMENT FINE-TUNING FOR MULTIMODAL REASONING IN METEOROLOGY

While Vision Language Models (VLMs) show advancing reasoning capabilities, their application in meteorology is constrained by a domain gap and a reasoning faithfulness gap. Specifically, mainstream Reinforcement Fine-Tuning (RFT) can induce Self-Contradictory Reasoning (Self-Contra), where the model…