Scaling Up Biomedical Vision-Language Models: Fine-Tuning, Instruction Tuning, and Multi-Modal Learning

Documenti analoghi

• A Study of Large Language Models for Patient Information Extraction: Model Architecture, Fine-Tuning Strategy, and Multi-task Instruction Tuning
  di: Peng, Cheng, et al.
  Pubblicazione: (2025)
• A Parameter-Efficient Transfer Learning Approach through Multitask Prompt Distillation and Decomposition for Clinical NLP
  di: Peng, Cheng, et al.
  Pubblicazione: (2026)
• Countering Catastrophic Forgetting of Large Language Models for Better Instruction Following via Weight-Space Model Merging
  di: Lyu, Mengxian, et al.
  Pubblicazione: (2026)
• Biomed-DPT: Dual Modality Prompt Tuning for Biomedical Vision-Language Models
  di: Peng, Wei, et al.
  Pubblicazione: (2025)
• Retrieval-Augmented LLMs for Evidence Localization in Clinical Trial Recruitment from Longitudinal EHR Narratives
  di: Chen, Ziyi, et al.
  Pubblicazione: (2026)