Running Repro - FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment 🎯 Browse and collaborate on research logbooks
Running Repro - FlashOptim: Memory Efficient Optimizers for Large-Scale Training 🎯 Explore training logs and sync findings with an AI agent
Running Repro - FOAM: Blocked State Folding for Memory-Efficient LLM Training 🎯 Explore and organize experiment logs with AI collaboration
Running Repro - Training-Inference Consistent Segmented Execution for Long-Context LLMs 🎯 Explore and share LLM experiment logs
Running Repro - Rex: A Family of Reversible Exponential (Stochastic) Runge-Kutta Solvers 🎯 Explore simulation logs and collaborate with a coding agent
Running Repro - Conditional KRR: Injecting Unpenalized Features into Kernel Methods with Applications to Kernel Thresholding 🎯 Explore research logbook and sync AI‑generated findings
Running Repro - R²ᵏ is Theoretically Large Enough for Embedding-based Top-k Retrieval 🎯 Browse and collaborate on a project logbook with an AI agent
Running Repro - Less is More: Geometric Unlearning for LLMs with Minimal Data Disclosure 🎯 Explore and collaborate on a token‑efficient research logbook