Two major sources of training data exist for post-training modern language models: on-policy (model-generated rollouts) data and off-policy (human or other-model demonstrations) data. In this paper, ...
Abstract: Unsupervised domain adaptation (UDA) enables models trained on a labeled source domain to handle new unlabeled domains. Recently, pre-trained vision-language models (VLMs) have demonstrated ...
NVIDIA's HPC SDK v25.7 simplifies ocean modeling by automating data movement between CPU and GPU, enhancing developer productivity and performance. In a significant advancement for high-performance ...
Abstract: Vision-and-Language Navigation (VLN) is a challenging task where an agent is required to navigate to a natural language described location via vision observations. The navigation abilities ...
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c01265. Details of the code used in this study (S1); Prompts used ...
We construct Heartcare-220K, a comprehensive, fine-grained multimodal ECG instruction dataset that supports unified modeling across key tasks such as disease diagnosis, waveform morphology analysis, ...
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