2 papers
cs.LG2026
engGNN: A Dual-Graph Neural Network for Omics-Based Disease Classification and Feature Selection
Tiantian Yang, Yuxuan Wang, Zhenwei Zhou +1
Omics data, such as transcriptomics, proteomics, and metabolomics, provide critical insights into disease mechanisms and clinical outcomes. However, their high dimensionality, smal…
cs.CL2025
Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning
ByteDance Seed, :, Jiaze Chen +267
We introduce Seed1.5-Thinking, capable of reasoning through thinking before responding, resulting in improved performance on a wide range of benchmarks. Seed1.5-Thinking achieves 8…