Apple Workshop on Machine Learning for Health: Challenges in Menstrual and Reproductive Health
AuthorsDr. Chris Curry (Apple)
Apple Workshop on Machine Learning for Health: Challenges in Menstrual and Reproductive Health
AuthorsDr. Chris Curry (Apple)
Environment-free Synthetic Data Generation for API-Calling Agents
July 21, 2026research area Methods and Algorithms
Training API-calling large language model (LLM) agents demands massive amounts of high-quality trajectories. However, collecting such data at scale typically requires fully implemented environments with executable APIs and realistic, pre-populated backend databases, creating a major bottleneck for scalability. To overcome this, we propose an environment-free synthetic data generation approach that leverages LLMs as on-the-fly digital world…
Accelerating Text-to-Video Generation with Calibrated Sparse Attention
July 21, 2026research area Computer Visionconference ECCV
Recent diffusion models enable high-quality video generation, but suffer from slow runtimes. The large transformer-based backbones used in these models are bottlenecked by spatiotemporal attention. In this paper, we identify that a significant fraction of token-to-token connections consistently yield negligible scores across various inputs, and their patterns often repeat across queries. Thus, the attention computation in these cases can be…