Fine-tuning of language models for automated structuring of medical exam reports to improve patient screening and analysis
Post Content
Reducing Variability of Multiple Instance Learning Methods for Digital Pathology
arXiv:2507.00292v2 Announce Type: replace-cross Abstract: Digital pathology has revolutionized the field by enabling the digitization of tissue samples into whole…
AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness
arXiv:2507.01702v1 Announce Type: cross Abstract: The proliferation of multimodal memes in the social media era demands that multimodal Large Language…
Towards culturally-appropriate conversational AI for health in the majority world: An exploratory study with citizens and professionals in Latin America
arXiv:2507.01719v1 Announce Type: cross Abstract: There is justifiable interest in leveraging conversational AI (CAI) for health across the majority world,…
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
arXiv:2507.01006v2 Announce Type: replace-cross Abstract: We present GLM-4.1V-Thinking, a vision-language model (VLM) designed to advance general-purpose multimodal understanding and reasoning.…