Papers by Jiajun You

2 papers
DentalGPT: Incentivizing Multimodal Reasoning in Dentistry (2026.findings-acl)

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Challenge: Current multimodal large language models (MLLMs) show limited understanding of dental images.
Approach: They propose a dental-specialized multimodal large language model trained via staged multimodal alignment and reinforcement learning.
Outcome: The proposed model outperforms state-of-the-art models on disease classification and dental VQA tasks.
EvoHyper: Evolving Hypergraph Topologies for Unified Collaboration in Multi-Agent Communication (2026.findings-acl)

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Challenge: Existing methods for multi-agent collaboration use a fixed communication graph and manage collaboration structure and shared memory in separate modules.
Approach: They propose a framework that uses an evolving hypergraph topology for multi-agent collaboration.
Outcome: The proposed framework achieves 3.2% to 7.8% accuracy gains over state-of-the-art methods and efficient, reducing token consumption by up to 23.5%.

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