…In this report, we show that when fueled with informative and high-difficulty trajectories, a simple SFT approach could be surprisingly powerful for training frontier search agents. By introducing three simple data…
…AI-generated summary In settings where labeled verifiable training data is the binding constraint, each checked example should be allocated carefully. The standard practice is to use this data directly on the…
…We additionally show preliminary results indicating that a world-action model (WAM) post-trained from OmniDreams achieves strong performance on the Physical AI Autonomous Vehicles NuRec dataset, surpassing the VLA-based Alpamayo…
…on six diverse single-cell datasets, sigmoid achieves 25% higher cell-type separation , better cell-type cohesion metrics, and lower validation loss, b) faster training, models with sigmoid attention train up to…
…whether pruning provides a better initialization than training from scratch, how expert compression choices affect the final model after continued training , and which training strategy is most effective. We have the following…
…transforming camera-induced warps into pseudo-history representations, achieving zero-shot capability without training or test-time optimization. AI-generated summary Camera-controlled video generation has made substantial progress, enabling generated videos…
…Consequently, these models degrade severely in non-stationary scenarios, even when trained or finetuned on dynamic datasets. Existing approaches either require expensive retraining or suffer from latency bottlenecks and poor temporal consistency…
…AI-generated summary Evaluating instruction-guided image edits requires rewards that reflect subtle human preferences, yet current reward models typically depend on large-scale preference annotation and additional model training. This creates…
…performance changes as balanced training data increases from 1K, 10K to 100K images. Urban-ImageNet provides a unified, theory-grounded, multi-city benchmark for evaluating how AI systems perceive and interpret contemporary…
…Zeyu Huang , , , , , , Abstract Context optimization methods enhanced with active information seeking via search and browser tools achieve superior performance across diverse domains while maintaining data efficiency and robustness. AI-generated summary Most…
