DecepEval: A Benchmark for Evaluating Deception in LLM Agents
Paper • 2610.07967 • Published • 65
Yiming Xu
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DecepEval: A Benchmark for Evaluating Deception in LLM Agents submitted a paper about 18 hours ago
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A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language ModelsOrganizations
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A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models
Paper • 2502.00681 • Published
Generalist Graph Anomaly Detection via Prototype-Based Distillation
Paper • 2605.26857 • Published
CLDG: Contrastive Learning on Dynamic Graphs
Paper • 2412.14451 • Published
Learning Dynamic Graph Representations through Timespan View Contrasts
Paper • 2605.27063 • Published
TED: Related Party Transaction guided Tax Evasion Detection on Heterogeneous Graph
Paper • 2605.26984 • Published
Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning
Paper • 2508.00513 • Published
Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection
Paper • 2508.00507 • Published
Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective
Paper • 2507.14677 • Published
Out-of-Distribution Generalization on Graphs via Progressive Inference
Paper • 2503.02988 • Published