Jiayu Zhou

Triage conversations can now be evaluated as dynamic interactions, revealing how clinicians gather and interpret critical patient information in real-time.

Dysco cuts training loss by up to 9 times and boosts federated learning performance by dynamically aligning client-specific subspaces, tackling a critical source of instability in LoRA aggregation.

LLM agents can now autonomously generate complex skills with multi-file dependencies, rivaling human-authored skills, thanks to a co-evolutionary verification process that doesn't need ground truth labels.

Squeeze your LLM's KV cache by 82% without significant performance loss using VQKV's novel vector quantization approach.