repositories
my open-source work on GitHub.
Robust, lightweight infrastructure for multi-agent autonomous self-evolution, built for autoresearch. Works with Claude Code, Codex, Cursor, and more.
Learning to synergize memory and reasoning for efficient long-horizon agents (ICLR 2026).
A framework for batch parallel speculative decoding (ICML 2026).
Optimizes the total throughput of batch speculative decoding by strategically selecting draft tokens for verification (ACL 2025).
Official code for "DETAIL — Task DEmonsTration Attribution for Interpretable In-context Learning" (NeurIPS 2024).
Code for the AAAI 2023 oral paper "Probably Approximate Shapley Fairness with Applications in Machine Learning".
More on my GitHub profile.