• 📁 Generative Recommenders
• 📁 Kv Cache Quantization
• Autoresearch: Autonomous Agentic Research Loops
• DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction
• Matryoshka Representation Learning
• Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies
• Muon: A Scalable Matrix Orthogonalization Optimizer for LLM Training
• Sampling-Bias-Corrected Retrieval: Exercises
• Sampling-Bias-Corrected Retrieval: Solutions
• Sampling-Bias-Corrected Neural Modeling for Large Corpus Item Recommendations