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National Yang Ming Chiao Tung University
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Evolving principle-guided supervision can boost MLLM reasoning accuracy by up to 24.6%, transforming how we train models for complex decision-making tasks.
N-ary hypergraphs can boost RAG performance by encoding richer relational facts, enabling more accurate and interpretable multi-hop reasoning for both open and closed-domain question answering.
