LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models Paper • 2411.09595 • Published Nov 14, 2024 • 72
Byte Latent Transformer: Patches Scale Better Than Tokens Paper • 2412.09871 • Published Dec 13, 2024 • 92
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference Paper • 2412.13663 • Published Dec 18, 2024 • 134
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining Paper • 2501.00958 • Published Jan 1 • 99
Search-o1: Agentic Search-Enhanced Large Reasoning Models Paper • 2501.05366 • Published Jan 9 • 95
Agent Laboratory: Using LLM Agents as Research Assistants Paper • 2501.04227 • Published Jan 8 • 85
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though Paper • 2501.04682 • Published Jan 8 • 90
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking Paper • 2501.04519 • Published Jan 8 • 257
The GAN is dead; long live the GAN! A Modern GAN Baseline Paper • 2501.05441 • Published Jan 9 • 89
VideoRAG: Retrieval-Augmented Generation over Video Corpus Paper • 2501.05874 • Published Jan 10 • 67
Qwen2.5-Math Collection Math-specific model series based on Qwen2.5 • 11 items • Updated Jan 14 • 75
The Lessons of Developing Process Reward Models in Mathematical Reasoning Paper • 2501.07301 • Published Jan 13 • 91
MiniMax-01: Scaling Foundation Models with Lightning Attention Paper • 2501.08313 • Published Jan 14 • 273
Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography Paper • 2501.08970 • Published Jan 15 • 6
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps Paper • 2501.09732 • Published Jan 16 • 69
The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models Paper • 2501.09653 • Published Jan 16 • 12