Running Repro - Spurious Correlation Learning in Preference Optimization: Mechanisms, Consequences, and Mitigation via Tie Training 🎯 Explore research logbook and sync with AI agent
Running Repro - Autoregressive Language Models are Secretly Energy-Based Models: Insights into the Lookahead Capabilities of Next-Token Prediction 🎯 Collaborate on a shared logbook with an AI coding agent
Running Repro - Fast Estimation for Forest Matrix of Signed Graphs 🎯 Track and share forest matrix estimates for signed graphs
Running Repro - Practical and Scalable Hamiltonian Monte Carlo Without the Metropolis Test 🎯 Explore and collaborate on experiment logs with an AI agent
Running Repro - The Role of Target Update Frequencies in Q-Learning 🎯 Collaborate on research logbook with an AI coding agent