Papers by Liangyi Chen

1 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.

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