NVIDIA Nemotron 3.5 Transcribe and Granary v2: Intelligent Multilingual Transcription You Can Prompt and Adapt nvidia • 5 days ago • 91
Announcing SimReady Central: An Open Library of Simulation-Ready 3D Assets for Robotics and AI Factories nvidia • 12 days ago • 58
LitPivot: Developing research ideas through dynamic contextualization within the literature landscape allenai • 10 days ago • 39
Granite Speech 5.0: Transcribe, Translate, and Attribute more Accurately and Faster ibm-granite • 12 days ago • 36
NVIDIA Kumo Relational Outperforms Supervised Machine Learning on Relational Data, No Training Required nvidia • 12 days ago • 38
NVIDIA Nemotron 3.5 Embed, Rerank, and Parse: Advancing Agents with World-Class Retrieval Models nvidia • 12 days ago • 65
The Sleeper in the Weights: We Planted a Backdoor in an Agent, and Only the Kernel Caught It FINAL-Bench • about 2 hours ago • 7
NVIDIA Kumo Tabular Sets a New Accuracy-Efficiency Frontier for Tabular Prediction nvidia • Sep 29 • 105
NVIDIA Nemotron 3.5 Transcribe and Granary v2: Intelligent Multilingual Transcription You Can Prompt and Adapt nvidia • 5 days ago • 91
Announcing SimReady Central: An Open Library of Simulation-Ready 3D Assets for Robotics and AI Factories nvidia • 12 days ago • 58
LitPivot: Developing research ideas through dynamic contextualization within the literature landscape allenai • 10 days ago • 39
Granite Speech 5.0: Transcribe, Translate, and Attribute more Accurately and Faster ibm-granite • 12 days ago • 36
NVIDIA Kumo Relational Outperforms Supervised Machine Learning on Relational Data, No Training Required nvidia • 12 days ago • 38
NVIDIA Nemotron 3.5 Embed, Rerank, and Parse: Advancing Agents with World-Class Retrieval Models nvidia • 12 days ago • 65
The Sleeper in the Weights: We Planted a Backdoor in an Agent, and Only the Kernel Caught It FINAL-Bench • about 2 hours ago • 7
NVIDIA Kumo Tabular Sets a New Accuracy-Efficiency Frontier for Tabular Prediction nvidia • Sep 29 • 105