5 papers
XrayClaw: Cooperative-Competitive Multi-Agent Alignment for Trustworthy Chest X-ray Diagnosis
Shawn Young, Lijian Xu
Chest X-ray (CXR) interpretation is a fundamental yet complex clinical task that increasingly relies on artificial intelligence for automation. However, traditional monolithic mode…
Efficient Chest X-ray Representation Learning via Semantic-Partitioned Contrastive Learning
Wangyu Feng, Shawn Young, Lijian Xu
Self-supervised learning (SSL) has emerged as a powerful paradigm for Chest X-ray (CXR) analysis under limited annotations. Yet, existing SSL strategies remain suboptimal for medic…
TC-SSA: Token Compression via Semantic Slot Aggregation for Gigapixel Pathology Reasoning
Zhuo Chen, Shawn Young, Lijian Xu
The application of large vision-language models to computational pathology holds great promise for diagnostic assistants but faces a critical computational bottleneck: the gigapixe…
Radio: Rate-Distortion Optimization for Large Language Model Compression
Sean I. Young
In recent years, the compression of large language models (LLMs) has emerged as a key problem in facilitating LLM deployment on resource-limited devices, reducing compute costs, an…
Foundations of Large Language Model Compression -- Part 1: Weight Quantization
Sean I. Young
In recent years, compression of large language models (LLMs) has emerged as an important problem to enable language model deployment on resource-constrained devices, reduce computa…