Schedule-Free Optimization in PyTorch

a jax benchmark for ad hoc teamwork

Intelligent Router for Mixture-of-Models

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

Repository for Zochi's Research

Code release for "Debating with More Persuasive LLMs Leads to More Truthful Answers"

TruthfulQA: Measuring How Models Imitate Human Falsehoods

Multi-Agent Reinforcement Learning with JAX

Code for Model-Free Opponent Shaping (ICML 2022)

Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision

[NeurIPS 2025] Scaling Language-centric Omnimodal Representation Learning

[NeurIPS 2025 D&B (Spotlight🌟)] TIME: A Multi-level Benchmark for Temporal Reasoning of LLMs in Real-World Scenario

A scalable asynchronous reinforcement learning implementation with in-flight weight updates.

Neural Networks: Zero to Hero

An open source python library for scalable Bayesian optimisation.

🥢像老乡鸡🐔那样做饭。主要部分于2024年完工，非老乡鸡官方仓库。文字来自《老乡鸡菜品溯源报告》，并做归纳、编辑与整理。CookLikeHOC.

Intelligent automation and multi-agent orchestration for Claude Code

When it comes to optimizers, it's always better to be safe than sorry

A complete computer science study plan to become a software engineer.

Practice The CodeSignal Pre-screen for the Industry Coding Framework.

Code and training scripts for FlexOlmo

Supporting code for https://arxiv.org/abs/2010.00753.

Official code for the paper Improving Language Plasticity via Pretraining with Active Forgetting, NeurIPS 2023

Unsupervised text tokenizer for Neural Network-based text generation.

[NeurIPS 2024] CLUES🔍: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning, ICML 2025