Showing 1–20 of 21 results
/ Date/ Name
Oct 27, 2023FP8-LM: Training FP8 Large Language ModelsApr 27, 2026MultiDx: A Multi-Source Knowledge Integration Framework towards Diagnostic ReasoningJun 19, 2023Knowledge Transfer-Driven Few-Shot Class-Incremental LearningAug 27, 2025A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future DirectionsJan 29, 2026Enhancing Conversational Agents via Task-Oriented Adversarial Memory AdaptationFeb 9, 2024SuperBench: Improving Cloud AI Infrastructure Reliability with Proactive ValidationJan 23, 2025Sigma: Differential Rescaling of Query, Key and Value for Efficient Language ModelsSep 1, 2021Multi-Sample based Contrastive Loss for Top-k RecommendationAug 27, 2025Federated Consistency- and Complementarity-aware Consensus-enhanced RecommendationAug 27, 2025A Model-agnostic Strategy to Mitigate Embedding Degradation in Personalized Federated RecommendationApr 27, 2026AdapTime: Enabling Adaptive Temporal Reasoning in Large Language ModelsJun 6, 2023Logic Diffusion for Knowledge Graph ReasoningOct 26, 2024Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent DiscoverySep 18, 2024Knowledge Adaptation Network for Few-Shot Class-Incremental LearningJun 17, 2025A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge GraphsSep 16, 2025Exploring Spectral Characteristics for Single Image Reflection RemovalJun 6, 2022A Neural Corpus Indexer for Document RetrievalDec 7, 2024Neighborhood Commonality-aware Evolution Network for Continuous Generalized Category DiscoveryJan 28, 2025Optimizing Large Language Model Training Using FP4 QuantizationSep 3, 2025A Plug-and-play Model-agnostic Embedding Enhancement Approach for Explainable Recommendation