Ziyi Chen

GatorOnco outshines traditional models by achieving expert-level treatment planning performance while enhancing readability and completeness in colorectal cancer care.

RLPF transforms how code generation models are trained by prioritizing runtime efficiency alongside correctness, leading to a dramatic increase in both runnable solutions and execution speed.

Bidirectional reasoning in CZSL can significantly reduce prediction errors, leading to state-of-the-art performance in recognizing unseen attribute-object pairs.

Open-source, zero-shot LLMs can extract lung pathology information with impressive accuracy, offering a low-cost alternative to labor-intensive manual processes.

Simple, interpretable greedy policies can achieve near-optimal performance in complex multi-item order fulfillment, challenging the need for sophisticated optimization in certain e-commerce settings.

Today's best video models achieve near-zero success rates on interactive video generation, revealing a stark gap in multimodal reasoning and physical grounding.