Running Resting Neurons, Active Insights: Robustifying Activation Sparsity in LLMs via Spontaneity 🎯 Explore code logs, traces, and workspace in a collaborative logbook
Running Reproduction: On the Epistemic Uncertainty of Overparametrized Neural Networks 🎯 Explore code logs, execution traces, and workspace in one view
Running Reproduction: The Information Geometry of Softmax: Probing and Steering 🎯 Explore project logs, code, and traces via a web interface
Running Reproduction: UltraLIF: Fully Differentiable Spiking Neural Networks via Ultradiscretization and Max-Plus Algebra 🎯 Explore and manage project logs, traces, and workspace
Running Reproduction: Learning Permutation from Structure Without Supervision 🎯 Explore project logs, code, and execution traces
Running Reproduction: Toward Training Superintelligent Software Agents through Self-Play SWE-RL 🎯 Explore code, traces, and workspace in an interactive logbook
Running Reproduction: Maximum Likelihood Reinforcement Learning 🎯 Explore and manage experiment logs, code, and traces
Running Reproduction: Recursive Monte-Carlo Tree Search 🎯 Explore logs, traces, and workspace for MCTS experiments
Running Reproduction: AOEB: Benchmarking Agent-Oriented Multimodal Embeddings 🎯 Browse and collaborate on multimodal embedding benchmark logs
Running Reproduction: AOEB: Benchmarking Agent-Oriented Multimodal Embeddings 🎯 Explore experiment logs and collaborate with an AI agent
Running Reproduction: RADAR: Defending RAG Dynamically against Retrieval Corruption 🎯 Explore logs, traces, and workspace with an interactive logbook
Running Reproduction: Calibrated Test-Time Guidance for Bayesian Inference 🎯 Explore project logs, traces, and workspace in a web view