Showing 21–40 of 61 results
/ Date/ Name
Apr 14, 2021FedGraphNN: A Federated Learning System and Benchmark for Graph Neural NetworksApr 22, 2023Conditional Denoising Diffusion for Sequential RecommendationJan 8, 2016Estimates for higher Steklov eigenvaluesNov 20, 2023Multi-view Graph Convolution for Participant RecommendationJul 26, 2024Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient RecommendationNov 2, 2022Ranking-based Group Identification via Factorized Attention on Social Tripartite GraphJun 23, 2025From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning AgentsOct 9, 2025ToolLibGen: Scalable Automatic Tool Creation and Aggregation for LLM ReasoningMar 3, 2025LLMInit: A Free Lunch from Large Language Models for Selective Initialization of RecommendationJul 17, 2025Promptomatix: An Automatic Prompt Optimization Framework for Large Language ModelsNov 17, 2025LoCoBench-Agent: An Interactive Benchmark for LLM Agents in Long-Context Software EngineeringJan 30, 2026Prompt Optimization Via Diffusion Language ModelsSep 10, 2019Charge Transport in a Polar MetalOct 20, 2023Knowledge Graph Context-Enhanced Diversified RecommendationAug 27, 2022ContrastVAE: Contrastive Variational AutoEncoder for Sequential RecommendationOct 24, 2024PRACT: Optimizing Principled Reasoning and Acting of LLM AgentJan 3, 2025Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and RoadmapDec 5, 2024Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation SystemsAug 25, 2015A higher dimensional generalization of Hersch-Payne-Schiffer inequality for Steklov eigenvaluesNov 20, 2024ToolScan: A Benchmark for Characterizing Errors in Tool-Use LLMs