Research
A paper is listed when one of its authors is affiliated with the lab. Data: OpenAlex.
Continual-GraphLLM: Dynamic Graph Large Language Model with Invariance Regularized Adaptive Multi-Scale ExpertsAlibaba · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 7Reducing Hallucination in Enterprise AI Workflows via Hybrid Utility Minimum Bayes Risk (HUMBR)Meta · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 7Graph Adversarial Defense with Virtual Spectral Anchor InjectionAlibaba · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 7The 12th Mining and Learning from Time Series (MILETS)Microsoft · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 7CBEGRec: Learning Path Recommendation via Concept Bundling and Exercise GenerationiFlytek · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 7Towards Sustainable Growth: A Multi-Value-Aware Retrieval Framework for E-Commerce SearchAlibaba · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 7PILA'26: Personal Intelligence in Agentic AI EraMeta · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 75th Workshop on End-End Customer Journey OptimizationAlphabet · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 7Kunlun: Establishing Scaling Laws for Massive-Scale Recommendation Systems through Unified Architecture DesignMeta, OpenAI · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 7Enterprise AI Agents: From Prototypes to ProductionMeta, NVIDIA · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 7The 1st International Workshop on AI Data ScientistMicrosoft · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 7SetLLM: Set Large Language Model for Cold-Start Item RecommendationAlibaba · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 7C 2 KV: Compressed and Composable KV Cache Reuse for Efficient LLM InferenceAlibaba · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 7TMallGS: Scaling Unified Feature and Sequence Modeling for Generative E-commerce SearchAlibaba · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 7PCR-CA: Parallel Codebook Representations with Contrastive Alignment for Multiple-Category App RecommendationMicrosoft · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 7From Scaling to Structured Expressivity: Rethinking Transformers for CTR PredictionAlibaba · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 7Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A SurveyMeta · ACM Computing Surveys16 citationsAug 6Few-shot action recognition with captioning foundation modelsAlibaba · Computer Vision and Image Understanding5 citationsAug 6PiPNN: Ultra-Scalable Graph-Based Nearest Neighbor IndexingAlphabet · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)4 citationsAug 6FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial DatasetsAlibaba · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)1 citationAug 6Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective AlignmentAlphabet · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)1 citationAug 6Generating Graph-Like Logical Rules for Knowledge Graph Reasoning via Diffusion ModelsMicrosoft · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)1 citationAug 6TaoSR1: The Thinking Model for E-commerce Relevance SearchAlibaba · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)1 citationAug 6A Near-Optimal Lower Bound for Prefix-Matrix FactorizationsAlphabet · arXiv (Cornell University)Aug 6Characterizing the Quality Profile of AI-Generated C++ in ProductionAlphabet · arXiv (Cornell University)Aug 6