Official Implementation for the paper "d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning"

[CVPR 2025] Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens

Hierarchal Agent Loop Optimizer

Data recipes and robust infrastructure for training AI agents

[ICLR'26] "Nabla-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent Space" by Peihao Wang*, Ruisi Cai*, Zhen Wang, Hongyuan Mei, Qiang Liu, Pan Li, Zhangyang Wang

Python library to train neural networks with a strong focus on hydrological applications.

A global community dataset for large-sample hydrology

Measuring how well CLI agents like Claude Code or Codex CLI can post-train base LLMs on a single H100 GPU in 10 hours

ALMA (Automated meta-Learning of Memory designs for Agentic systems) is a framework that meta-learns memory designs to replace human-engineered designs for agentic system.

MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entirely different from those used for meta-training.

Awesome List for On-Policy Distillation

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

BioDiscoveryAgent is an LLM-based AI agent for closed-loop design of genetic perturbation experiments

🖥 Neural Computers' Data Engine

A unified multimodal model toolkit

Hybrid ML + physics model of the Earth's atmosphere

TorchCFM: a Conditional Flow Matching library

A paper list for Time series modelling, including prediciton and anomaly detection

A Super AI Lab with massive AI Doctors as Assistants. Best IDE for Research via AI Power.

Verlog: A Multi-turn RL framework for LLM agents

[ICML 2026] Official Code for Rectified LpJEPA: Joint-Embedding Predictive Architectures with Sparse and Maximum-Entropy Representations

Explain Before You Answer: A Survey on Compositional Visual Reasoning