[Up-to-date] Large Language Model Agent: A Survey on Methodology, Applications and Challenges

Cache-Augmented Generation: A Simple, Efficient Alternative to RAG

EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL

📚Modern CUDA Learn Notes: 200+ Tensor/CUDA Cores Kernels, FA2, HGEMM via MMA and CuTe (~99% TFLOPS of cuBLAS/FA2 🎉).

Official Pytorch Implementation of "OwLore: Outlier-weighed Layerwise Sampled Low-Rank Projection for Memory-Efficient LLM Fine-tuning" by Pengxiang Li, Lu Yin, Xiaowei Gao, Shiwei Liu

Official implementation of paper "VLA-Cache: Towards Efficient Vision-Language-Action Model via Adaptive Token Caching in Robotic Manipulation"

"AI-Researcher: Fully-Automated Scientific Discovery with LLM Agents" & "Open-Sourced Alternative to Google AI Co-Scientist"

[NeurIPS 2024] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

Latest Advances on Vison-Language-Action Models.

AlignCLIP: Improving Cross-Modal Alignment in CLIP (ICLR 2025)

OpenEMMA, a permissively licensed open source "reproduction" of Waymo’s EMMA model.

Zero-Shot Detection via Vision and Language Knowledge Distillation

【EMNLP 2024🔥】Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

[CVPR 2025] Truncated Diffusion Model for Real-Time End-to-End Autonomous Driving

基于舆情中文核心论文的deepsearch项目

AMD 0.9B efficient text to video diffusion model

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

Recent Advances on MLLM's Reasoning Ability

A framework for few-shot evaluation of language models.

[NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.

Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization

Search-o1: Agentic Search-Enhanced Large Reasoning Models

Source code for models described in the paper "AudioCLIP: Extending CLIP to Image, Text and Audio" (https://arxiv.org/abs/2106.13043)

[CVPR 2025] LamRA: Large Multimodal Model as Your Advanced Retrieval Assistant

🚀 Efficient implementations of state-of-the-art linear attention models in Torch and Triton

[AAAI Alignment Track 25 Poster] Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction