RAGEN leverages reinforcement learning to train LLM reasoning agents in interactive, stochastic environments.

📚 A curated list of Awesome Efficient dLLMs Papers with Codes

Collect some World Models for Autonomous Driving (and Robotic, etc.) papers.

A framework for few-shot evaluation of language models.

Official Repo For PerceptionDLM Codebase

Use agent to learn agent - A skeleton course on how to design, build, and operate production AI agents

DreamX-World: A General-Purpose Interactive World Model

[ICML 2026] The official implementation of paper "Unified Multimodal Autoregressive Modeling with Shared Context—Visual Tokenizer is Key to Unification"

Bernini is a unified framework for video generation and editing that combines an MLLM-based semantic planner with a DiT-based renderer.

slime is an LLM post-training framework for RL Scaling.

Code release for "i1: A Simple and Fully Open Recipe for Strong Text-to-Image Models"

The codebase of Cola DLM

HY-WU (Part I): An Extensible Functional Neural Memory Framework and An Instantiation in Text-Guided Image Editing

**Deep Video Discovery (DVD)** is a deep-research style question answering agent designed for understanding extra-long videos.

[survey] Watch, Remember, Reason: Human-View Video Understanding with MLLMs

Official open-source code for the paper "Towards One-to-Many Temporal Grounding".

OpenVLA: An open-source vision-language-action model for robotic manipulation.

Official implementation of LoomVideo: Unifying Multimodal Inputs into Video Generation and Editing

Multimodal RL training framework for diffusion & omni models

JoyAI-Echo: Pushing the Frontier of Long Audio-Visual Generation

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

Toolkit for linearizing PDFs for LLM datasets/training

AllenAI's post-training codebase

Youtu-VL: Unleashing Visual Potential via Unified Vision-Language Supervision

SGLang Omni: High-Performance Multi-Stage Pipeline Framework for Omni Models

Writing AI Conference Papers: A Handbook for Beginners