Research
A paper is listed when one of its authors is affiliated with the lab. Data: OpenAlex.
Reducing Hallucination in Enterprise AI Workflows via Hybrid Utility Minimum Bayes Risk (HUMBR)Meta · 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 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 7Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A SurveyMeta · ACM Computing Surveys16 citationsAug 6C al C o : A Hierarchical Bayesian Framework for Scalable Human-LLM Hybrid LabelingMeta · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 6CRAG-MM: Multi-modal Multi-turn Comprehensive RAG BenchmarkMeta · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 6On the Memorization and Generalization of Generative RecommendationMeta · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 6Intuition-Guided Latent Reasoning for LLM-Based RecommendationMeta · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 6Retrieval-Augmented Generation (RAG)— From Modular to Agentic SystemsMeta · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 6Quantitative and Subjective Evaluation of Latency and Packet Loss Effects on Video Streaming Quality Using Controlled Network EmulationMeta · InformaticaAug 6Deep Multiple Clustering: From Foundations to Context-Aware ApproachesMeta · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 6Unity: Fully Self-Supervised Pretraining with Transformers for RecommendationMeta · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 6DuetDA: Decomposed and Dynamic Data Attribution with Model-State Gating for Accelerated Scientific EndeavorsMeta · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 6Generalizable Multi-Pass Training of Ads Recommendation Models with Foundation Model GuidanceMeta · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 6Bending the Scaling Law Curve in Large-Scale Recommendation SystemsMeta · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Aug 6EvoHarness-RL: Learning Runtime Harness Coordination for Self-Evolving AgentsMeta · arXiv (Cornell University)Aug 5ASTELD: A Six-Axis Classification Framework for Autonomous AI Agents - Design, Evaluation, and an OpenClaw Case StudyMeta · arXiv (Cornell University)Aug 5Improving LLM First-Token Predictions in Multiple-Choice Question Answering via Output PrefillingMeta · Lecture notes in computer scienceAug 3From Presto to Prestissimo: A Velox-Powered Modernization JourneyMeta · Proceedings of the VLDB EndowmentAug 1SQL-Native Vector Search at Billion Scale in PrestoMeta · Proceedings of the VLDB EndowmentAug 1HCCL: Collective Communication for Meta Training and Inference AcceleratorsMeta · arXiv (Cornell University)Aug 1Tool Calling Behind the Curtain: Secure Function Execution for Agentic LLMs Inside Confidential VMsMeta · International Journal of Computer Information Systems and Industrial Management ApplicationsJul 31ROCS: Request-Oriented Compute Sharing for Efficient Large-Scale RecommendationMeta · arXiv (Cornell University)Jul 30GeoPandas: Fundamental data structures for vector spatial data in PythonMeta · Computers Environment and Urban SystemsJul 24