most citedGraph Evidential Learning for Anomaly Detection

5 citations · 5 across the 3 of their papers we have counts for

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cs.LG2025

How and Why LLMs Generalize: A Fine-Grained Analysis of LLM Reasoning from Cognitive Behaviors to Low-Level Patterns

Haoyue Bai, Yiyou Sun, Wenjie Hu +5

Large Language Models (LLMs) display strikingly different generalization behaviors: supervised fine-tuning (SFT) often narrows capability, whereas reinforcement-learning (RL) tunin…

cs.LG2025★ 5 cited

Graph Evidential Learning for Anomaly Detection

Chunyu Wei, Wenji Hu, Xingjia Hao +4

Graph anomaly detection faces significant challenges due to the scarcity of reliable anomaly-labeled datasets, driving the development of unsupervised methods. Graph autoencoders (…