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cs.CL2026
DermoGPT: Open Weights and Open Data for Morphology-Grounded Dermatological Reasoning MLLMs
Jinghan Ru, Siyuan Yan, Yuguo Yin +2
Multimodal Large Language Models (MLLMs) show promise for medical applications, yet progress in dermatology lags due to limited training data, narrow task coverage, and lack of cli…
cs.CL2025
Do we really have to filter out random noise in pre-training data for language models?
Jinghan Ru, Yuxin Xie, Xianwei Zhuang +5
Web-scale pre-training datasets are the cornerstone of LLMs' success. However, text data curated from the Internet inevitably contains random noise caused by decoding errors or unr…