InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models Paper • 2504.10479 • Published 8 days ago • 239
GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation Paper • 2504.08736 • Published 11 days ago • 47
Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model Paper • 2504.08685 • Published 11 days ago • 120
Hogwild! Inference: Parallel LLM Generation via Concurrent Attention Paper • 2504.06261 • Published 14 days ago • 103
Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems? Paper • 2504.00509 • Published 21 days ago • 21
DAPO: An Open-Source LLM Reinforcement Learning System at Scale Paper • 2503.14476 • Published Mar 18 • 120
RWKV-7 "Goose" with Expressive Dynamic State Evolution Paper • 2503.14456 • Published Mar 18 • 141
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models Paper • 2503.09573 • Published Mar 12 • 69
EuroBERT: Scaling Multilingual Encoders for European Languages Paper • 2503.05500 • Published Mar 7 • 77
Token-Efficient Long Video Understanding for Multimodal LLMs Paper • 2503.04130 • Published Mar 6 • 94
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Paper • 2503.01743 • Published Mar 3 • 84
Predictive Data Selection: The Data That Predicts Is the Data That Teaches Paper • 2503.00808 • Published Mar 2 • 57
Running 2.5k 2.5k The Ultra-Scale Playbook 🌌 The ultimate guide to training LLM on large GPU Clusters
MLGym: A New Framework and Benchmark for Advancing AI Research Agents Paper • 2502.14499 • Published Feb 20 • 191
SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models Paper • 2502.09604 • Published Feb 13 • 36