A curated collection of research and techniques for protecting intellectual property of large language models, including watermarking, fingerprinting, and more.

[EMNLP 2025] UniFilter: A Unified Multimodal Data Quality Classifier for High-Quality Image-Text Interleaved and Caption Data Curation

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

A paper list of some recent works about Token Compress for Vit and VLM

Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)

An unified model that seamlessly integrates multimodal understanding, text-to-image generation, and image editing within a single powerful framework.

[ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

[RelKD'24] Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models

[KDD'25] Flow Matching for Collaborative Filtering

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

GRID: Generative Recommendation with Semantic IDs

Efficient vision foundation models for high-resolution generation and perception.

gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI

Wan: Open and Advanced Large-Scale Video Generative Models

A repo for open research on building large reasoning models

[ICML'25] EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling.

Code for the paper 'Dynamic Multimodal Fusion'

Official implementation of Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence

Efficient Reasoning Vision Language Models

Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN

Pytorch Lightning Implement of Generative Recommenders

Official implementation of "Traceable Evidence Enhanced Visual Grounded Reasoning: Evaluation and Methodology"

[ICML'24] The official implementation of “Rethinking Optimization and Architecture for Tiny Language Models”

[CVPR 2025] "DiC: Rethinking Conv3x3 Designs in Diffusion Models", a performant & speedy Conv3x3 diffusion model.

[CVPR 2025] HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation