3 papers
eess.IV2025
A Machine Learning Approach to Volumetric Computations of Solid Pulmonary Nodules
Yihan Zhou, Haocheng Huang, Yue Yu +1
Early detection of lung cancer is crucial for effective treatment and relies on accurate volumetric assessment of pulmonary nodules in CT scans. Traditional methods, such as consol…
cs.LG2025
A Unified Pairwise Framework for RLHF: Bridging Generative Reward Modeling and Policy Optimization
Wenyuan Xu, Xiaochen Zuo, Chao Xin +3
Reinforcement Learning from Human Feedback (RLHF) has emerged as a important paradigm for aligning large language models (LLMs) with human preferences during post-training. This fr…
cs.CE2024
BrainMass: Advancing Brain Network Analysis for Diagnosis with Large-scale Self-Supervised Learning
Yanwu Yang, Chenfei Ye, Guinan Su +6
Foundation models pretrained on large-scale datasets via self-supervised learning demonstrate exceptional versatility across various tasks. Due to the heterogeneity and hard-to-col…