An open-source document parsing model with SOTA accuracy and speed, using an RSI loop during post-training.
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An open-source document parsing model with SOTA accuracy and speed, using an RSI loop during post-training.
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
Miles is an enterprise-facing reinforcement learning framework for LLM and VLM post-training, forked from and co-evolving with slime.
A unified inference and post-training framework for accelerated video generation.
AllenAI's post-training codebase
Daily notes on AI research, especially those on LLMs, VLMs, AI agents and related techniques such as pre-, mid-, post-training, RL, continual learning, test-time scaling, RSI, and more.
High-performance RL post-training infrastructure. Designed to achieve bitwise operator-level train-inference consistency across heterogeneous engines and extreme memory efficiency for GRPO, PPO, etc.
The complete post-training stack for LLMs, plus RL for any problem. SFT, DPO and multi-turn agentic RL, with evolutionary hyperparameter optimization built in.
A Lightweight LLM Post-Training Library
DC-Gen: Post-Training Diffusion Acceleration with Deeply Compressed Latent Space
Post-training with Tinker
[ICLR 2026] RecA: Self-supervised post-training for unified multimodal models, improving image generation through visual understanding.
🔥🔥🔥 [TMLR] Video Generation Models: A Survey of Post-Training and Alignment | A continuously updated collection of papers, datasets, and benchmarks on post-training and alignment for video generation.
An asynchronous streaming data management module for efficient post-training.
A project implementing various agentic RL based on the Slime post-training framework
WorldEngine: Towards the Era of Post-Training for Autonomous Driving
An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale
Developer Hub for NVIDIA Alpamayo, containing ready-to-use recipes for fine-tuning, reinforcement-learning post-training, quantization, and deployment.
An LLM post-training framework with vLLM for RL Scaling
On-Policy Self-Distillation for Post-Training Few-Step Autoregressive Video Generators
AxisRL is an agentic RL post-training framework built on SGLang rollout, Megatron training, and real-world agent workflows.