2 papers
cs.CL2026
Variation in Verification: Understanding Verification Dynamics in Large Language Models
Yefan Zhou, Austin Xu, Yilun Zhou +3
Recent advances have shown that scaling test-time computation enables large language models (LLMs) to solve increasingly complex problems across diverse domains. One effective para…
cs.CV2025
Residual Kolmogorov-Arnold Network for Enhanced Deep Learning
Ray Congrui Yu, Sherry Wu, Jiang Gui
Despite their immense success, deep convolutional neural networks (CNNs) can be difficult to optimize and costly to train due to hundreds of layers within the network depth. Conven…