Category

WorkFactory: Turning Professional Intents into Executable Work for Scalable Agent Training

Builds executable professional tasks by mapping required information dependencies and repairing gaps revealed during test runs. It produces 112,686 tasks across 612 occupations for collecting teacher demonstrations and training working agents.

TAO: Tool-Aware Joint Scheduling for LLM-Based Agentic Serving

Jointly decides when waiting agent sessions should run on GPUs and which node should serve them. Scheduling accounts for tool-return readiness, time-decaying node cache value, and token demand.

Look Only When Needed: Certificate-Guided Visual Routing for Efficient Diffusion VLMs

Decides when a diffusion vision-language model needs to process an image by checking whether text-only predictions agree with its latest image-conditioned predictions. Retains 99.6% of baseline scores across ten benchmarks at 35.3% of decoding FLOPs.