OpenClaw-RL: Train any agent simply by talking

Latent Collaboration in Multi-Agent Systems

[ICLR 2026] Official code for TraceRL: Revolutionizing post-training for Diffusion LLMs, powering the SOTA TraDo series.

[NeurIPS 2025] HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation

Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening

[NeurIPS 2025 Spotlight] LLM post-training suite — featuring ReasonFlux, ReasonFlux-PRM, and ReasonFlux-Coder.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization

Official Implementation for "Consistency Flow Matching: Defining Straight Flows with Velocity Consistency"

[ICLR 2025] IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts

[ICML 2024] Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation

[NeurIPS 2024] VideoTetris: Towards Compositional Text-To-Video Generation

[NeurIPS 2024 Spotlight] Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models

[ACM Multimedia 2025 Datasets Track] EditWorld: Simulating World Dynamics for Instruction-Following Image Editing

Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

[NeurIPS 2024] RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models

[ICLR 2024] Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models

The official implementation for our TNNLS paper "Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer".

[AAAI 2024] Binding-Adaptive Diffusion Models for Structure-Based Drug Design

[ICLR 2024] Contextualized Diffusion Models for Text-Guided Image and Video Generation

[ICML 2024] Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs (RPG)

[ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs

The official Implementation for TKDE paper "Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization"

[CVPR 2020] DPGN: Distribution Propagation Graph Network for Few-shot Learning.

Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)

A Python package to make publication-ready but customizable coefficient plots.

[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models

[ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"

Official implementation of pre-training via denoising for TorchMD-NET

Code for Next-item Recommendation with Sequential Hypergraph (SIGIR2020)