Research
A paper is listed when one of its authors is affiliated with the lab. Data: OpenAlex.
A Framework for Value-Aligned Modeling and Robust ExperimentationAlphabet · ACM Conference on Recommender Systems (RecSys)Sep 25Soft Curriculum Learning for Optimizing Fresh and Generalized RecommendationsAlphabet · ACM Conference on Recommender Systems (RecSys)Sep 25Space Efficient Item Embeddings for Large Recommender SystemsAlphabet · ACM Conference on Recommender Systems (RecSys)Sep 25Online and Adaptive Recommender SystemAlphabet · ACM Conference on Recommender Systems (RecSys)Sep 25Mend the Measurement Gap: Latent User Preference Modeling for Short-Form Video RecommendationAlphabet · ACM Conference on Recommender Systems (RecSys)Sep 25Interest Sequence for User Modeling in Industrial Short-Form Video RecommendationAlphabet · ACM Conference on Recommender Systems (RecSys)Sep 25Learned Cross-Task Relationships in Multi-Task ModelsAlphabet · ACM Conference on Recommender Systems (RecSys)Sep 25ScientistTwo: Pioneering the Human Knowledge Frontier with Autonomous AIAlphabet · SuperIntelligence - Robotics - Safety & AlignmentSep 25RecEvolve: A Knowledge-Driven Autonomous Agent System for Recommender SystemsAlphabet · ACM Conference on Recommender Systems (RecSys)Sep 25Heterogeneous Ranking in Industrial-Scale Recommender Systems: A Case StudyAlphabet · ACM Conference on Recommender Systems (RecSys)Sep 25Breaking the Loop: An Empirical Comparison of Strategies for Novelty and Freshness in YouTube MusicAlphabet · ACM Conference on Recommender Systems (RecSys)Sep 25Tokens are All You Need: Dual-purpose Semantic IDs for Achieving LLM-Level I/O Efficiency in Recommendation SystemsAlphabet · ACM Conference on Recommender Systems (RecSys)Sep 25Token Factory: Efficiently Integrating Diverse Signals into Large Recommendation ModelsAlphabet · ACM Conference on Recommender Systems (RecSys)Sep 25LLM-Based User Personas for Recommendations at ScaleAlphabet · ACM Conference on Recommender Systems (RecSys)Sep 25Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM AgentsAlphabet · ACM Conference on Recommender Systems (RecSys)Sep 25Claim-Gated Source-Risk Auditing for Generative SearchAlphabet · arXiv (Cornell University)Sep 24Anchored Extra-Proximal Methods: Optimal Higher-Order Methods for Monotone Inclusion ProblemsAlphabet · arXiv (Cornell University)Sep 24CinematicVQA: Benchmarking Film-Grammar Reasoning in Large Vision-Language ModelsAlphabet · arXiv (Cornell University)Sep 23Quantum Advantage in Topological Data Analysis via Mayer HomologyAlphabet · arXiv (Cornell University)Sep 23Locally Sparsified, Globally Near-Optimal: Matching under Independent Vertex ArrivalsAlphabet · arXiv (Cornell University)Sep 22The Multimodal Agent Interfaces Paradigm ShiftAlphabet · Communications of the ACMSep 22A Proof of the Most Informative Boolean Function ConjectureAlphabet · arXiv (Cornell University)Sep 21Harness-Zero: Harness Distillation via Agent-as-HarnessAlphabet · arXiv (Cornell University)Sep 21Lightweight Ranking Heads: Accelerating Multi-Task Experimentation in Production Recommender SystemsAlphabet · arXiv (Cornell University)Sep 21Prophet Inequalities Beyond Utilitarian Social WelfareAlphabet · arXiv (Cornell University)Sep 21