autotrust/JEV-27B-VL: a decision model that learned to see without a single image of training autotrust • 13 days ago • 126
Darwin-27B-ZTC: A Single-Pass Judge and a Quantitative Look at Its Calibration FINAL-Bench • 5 days ago • 12
NVIDIA Kumo Tabular Sets a New Accuracy-Efficiency Frontier for Tabular Prediction nvidia • 13 days ago • 89
The Open Quantum Challenge: Quantum Simulation and QEC Decoding on Classical GPUs FINAL-Bench • 1 day ago • 11
autotrust/JEV-27B: fast, calibrated decisions and full reasoning from one open model autotrust • 16 days ago • 48
Sparseup-fr: A French replication of Linkup's sparse embedding model alphaedge-ai • about 7 hours ago • 9
Leading the System One Mosaic Benchmark: What Darwin-27B-ZTC-v2's #1 Means FINAL-Bench • 4 days ago • 6
ViDiHand: The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Xingang-Pan • 7 days ago • 5
autotrust/JEV-27B-VL: a decision model that learned to see without a single image of training autotrust • 13 days ago • 126
Darwin-27B-ZTC: A Single-Pass Judge and a Quantitative Look at Its Calibration FINAL-Bench • 5 days ago • 12
NVIDIA Kumo Tabular Sets a New Accuracy-Efficiency Frontier for Tabular Prediction nvidia • 13 days ago • 89
The Open Quantum Challenge: Quantum Simulation and QEC Decoding on Classical GPUs FINAL-Bench • 1 day ago • 11
autotrust/JEV-27B: fast, calibrated decisions and full reasoning from one open model autotrust • 16 days ago • 48
Sparseup-fr: A French replication of Linkup's sparse embedding model alphaedge-ai • about 7 hours ago • 9
Leading the System One Mosaic Benchmark: What Darwin-27B-ZTC-v2's #1 Means FINAL-Bench • 4 days ago • 6
ViDiHand: The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Xingang-Pan • 7 days ago • 5