Showing 1–20 of 26 results
/ Date/ Name
Feb 3, 2026PAMAS: Self-Adaptive Multi-Agent System with Perspective Aggregation for Misinformation DetectionJan 1, 2026When Agents See Humans as the Outgroup: Belief-Dependent Bias in LLM-Powered AgentsJun 3, 2024Poisoning Attacks and Defenses in Recommender Systems: A SurveySep 18, 2024ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender SystemsJul 10, 2025When Graph Contrastive Learning Backfires: Spectral Vulnerability and Defense in RecommendationOct 19, 2022Efficient Bi-Level Optimization for Recommendation DenoisingMar 30, 2025RuleAgent: Discovering Rules for Recommendation Denoising with Autonomous Language AgentsNov 30, 2023Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning AttacksJan 3, 2024Poisoning Attacks against Recommender Systems: A SurveyApr 11, 2026Self-Distilled Reinforcement Learning for Co-Evolving Agentic Recommender SystemsFeb 19, 2025Breaking the Clusters: Uniformity-Optimization for Text-Based Sequential RecommendationAug 6, 2025Generative Bid Shading in Real-Time Bidding AdvertisingApr 26, 2026Green-Red Watermarking for Recommender SystemsFeb 19, 2022Who Are the Best Adopters? User Selection Model for Free Trial Item PromotionDec 7, 2024Graph with Sequence: Broad-Range Semantic Modeling for Fake News DetectionJan 6, 2026Ahead of the Spread: Agent-Driven Virtual Propagation for Early Fake News DetectionApr 20, 2026Multi-LLM Token Filtering and Routing for Sequential RecommendationMar 8, 2022Predictive and Contrastive: Dual-Auxiliary Learning for RecommendationOct 6, 2024Inner-Probe: Discovering Copyright-related Data Generation in LLM ArchitectureAug 10, 2020Path-Based Reasoning over Heterogeneous Networks for Recommendation via Bidirectional Modeling