Papers
- 📁 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