Inference-time scaling for LLMs-as-a-judge.
Official repository of the spotlight ICML 2025 paper, PokeChamp: an Expert-level Minimax Language Agent.
Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers
Test-Time Memory Framework: Control Hallucinations in Foundation Models
Code for the paper "Specification Self-Correction: Mitigating In-Context Reward Hacking Through Test-Time Refinement"
Code for ICML 2025 How Do Large Language Monkeys Get Their Power (Laws)?
An experimental project using MCTS to refine LLM responses for better accuracy and decision-making.
A Framework Enabling Web Agents to Master Workflows From Human Demonstration
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