CausalMix: Data Mixture as Causal Inference for Language Model Training Paper • 2607.01104 • Published about 1 month ago • 21
Tmax Collection Data and models associated with "Tmax: A simple recipe for terminal agents". paper: https://arxiv.org/abs/2606.23321 • 23 items • Updated Jun 23 • 19
view article Article Tensor Parallelism (TP) in Transformers: 5 Minutes to Understand qgallouedec • Dec 4, 2025 • 73
Nemotron-Post-Training-v3 Collection Collection of datasets used in the post-training phase of Nemotron Nano, Super, and Ultra v3. • 50 items • Updated 15 days ago • 185
LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding Paper • 2605.27365 • Published May 26 • 146
LLaVA-UHD v4: What Makes Efficient Visual Encoding in MLLMs? Paper • 2605.08985 • Published May 9 • 24
WebWorld: A Large-Scale World Model for Web Agent Training Paper • 2602.14721 • Published Feb 16 • 19
Self-Improving Pretraining: using post-trained models to pretrain better models Paper • 2601.21343 • Published Jan 29 • 20
GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents Paper • 2604.26752 • Published Apr 29 • 113
DR-Venus: Towards Frontier Edge-Scale Deep Research Agents with Only 10K Open Data Paper • 2604.19859 • Published Apr 21 • 53
SpatialEvo: Self-Evolving Spatial Intelligence via Deterministic Geometric Environments Paper • 2604.14144 • Published Apr 15 • 63
view article Article You could have designed state of the art positional encoding FL33TW00D-HF • Nov 25, 2024 • 492
TriAttention: Efficient Long Reasoning with Trigonometric KV Compression Paper • 2604.04921 • Published Apr 6 • 117
UniDriveVLA: Unifying Understanding, Perception, and Action Planning for Autonomous Driving Paper • 2604.02190 • Published Apr 2 • 29