3 papers
cs.LG2026
Rethinking Reinforcement Fine-Tuning in LVLM: Convergence, Reward Decomposition, and Generalization
Carter Adams, Rafael Oliveira, Gabriel Almeida +1
Reinforcement fine-tuning with verifiable rewards (RLVR) has emerged as a powerful paradigm for equipping large vision-language models (LVLMs) with agentic capabilities such as too…
cs.CV2025
VL-MedGuide: A Visual-Linguistic Large Model for Intelligent and Explainable Skin Disease Auxiliary Diagnosis
Kexin Yu, Zihan Xu, Jialei Xie +1
Accurate diagnosis of skin diseases remains a significant challenge due to the complex and diverse visual features present in dermatoscopic images, often compounded by a lack of in…
cs.CL2025
Evidence-Driven Marker Extraction for Social Media Suicide Risk Detection
Carter Adams, Caleb Carter, Jackson Simmons
Early detection of suicide risk from social media text is crucial for timely intervention. While Large Language Models (LLMs) offer promising capabilities in this domain, challenge…