5 papers
When Does External Guidance Help LLM Reasoning? A Bias-Variance Theory of Guidance-Augmented GRPO
Sofia Torres, Gabriel Almeida, Carter Adams +1
Reinforcement learning with verifiable rewards (RLVR) has become the dominant paradigm for eliciting multi-step reasoning in large language models, and a recent wave of methods (LU…
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…
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…
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…
Discriminative Topological Features Reveal Biological Network Mechanisms
Manuel Middendorf, Etay Ziv, Carter Adams +6
Recent genomic and bioinformatic advances have motivated the development of numerous random network models purporting to describe graphs of biological, technological, and sociologi…