2 papers
cs.CL2026
CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models
Qizhi Jiang, Shuo Wang, Pei Ke +2
Large Reasoning Models (LRMs) have achieved remarkable success on complex tasks by leveraging long chain-of-thought (CoT) trajectories, yet they frequently exhibit overthinking on…
cs.LG2026
Not All Neighbors Matter: Understanding the Impact of Graph Sparsification on GNN Pipelines
Yuhang Song, Naima Abrar Shami, Romaric Duvignau +1
As graphs scale to billions of nodes and edges, graph Machine Learning workloads are constrained by the cost of multi-hop traversals over exponentially growing neighborhoods. While…