timm DINOv3 Collection Meta AI's DINOv3 weights in timm. ViTs with `qkvb` have a zero QV bias present, otherwise bias is disabled. QKV bias are all 0 in original weights. • 18 items • Updated Sep 19, 2025 • 30
Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations Paper • 2602.05885 • Published 8 days ago • 28
Training Data Efficiency in Multimodal Process Reward Models Paper • 2602.04145 • Published 10 days ago • 75
FSVideo: Fast Speed Video Diffusion Model in a Highly-Compressed Latent Space Paper • 2602.02092 • Published 12 days ago • 18
PaperBanana: Automating Academic Illustration for AI Scientists Paper • 2601.23265 • Published 14 days ago • 178
TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization Paper • 2512.09196 • Published Dec 9, 2025 • 1
TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators Paper • 2502.14752 • Published Feb 20, 2025 • 1
QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation Paper • 2511.20100 • Published Nov 25, 2025 • 1
AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs Paper • 2507.05687 • Published Jul 8, 2025 • 30
Liger Kernel: Efficient Triton Kernels for LLM Training Paper • 2410.10989 • Published Oct 14, 2024 • 2
ConCuR: Conciseness Makes State-of-the-Art Kernel Generation Paper • 2510.07356 • Published Oct 8, 2025 • 2
KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta Paper • 2512.23236 • Published Dec 29, 2025 • 6
KernelBand: Boosting LLM-based Kernel Optimization with a Hierarchical and Hardware-aware Multi-armed Bandit Paper • 2511.18868 • Published Nov 24, 2025 • 1
SWE-Pruner: Self-Adaptive Context Pruning for Coding Agents Paper • 2601.16746 • Published 22 days ago • 89