3 papers
cs.LG2026
Dystruct: Dynamically Structured Diffusion Language Model Decoding via Bayesian Inference
Bian Sun, Kevin Zhai, Mubarak Shah +1
Diffusion language models (DLMs) have recently emerged as a promising alternative to autoregressive models, primarily due to their ability to enable parallel decoding. Despite this…
cs.CL2026
When Metrics Disagree: Automatic Similarity vs. LLM-as-a-Judge for Clinical Dialogue Evaluation
Bian Sun, Zhenjian Wang, Orvill de la Torre +1
As Large Language Models (LLMs) are increasingly integrated into healthcare to address complex inquiries, ensuring their reliability remains a critical challenge. Recent studies ha…
cs.LG2025
Layer-wise dynamic rank for compressing large language models
Zhendong Mi, Bian Sun, Grace Li Zhang +1
Large language models (LLMs) have rapidly scaled in size, bringing severe memory and computational challenges that hinder their deployment. Singular Value Decomposition (SVD)-based…