2 papers
cs.CV2026
Improving Sample Diversity in Autoregressive Text-to-Image Generation via Cluster Truncation
Trang Nguyen, Shuang Wu, Runyan Tan +1
While diffusion models achieve state-of-the-art image quality for text-to-image (T2I) generation, recent work has demonstrated that they suffer from sample diversity collapse. In t…
cs.AI2026
p-less Sampling: A Robust Hyperparameter-Free Approach for LLM Decoding
Runyan Tan, Shuang Wu, Phillip Howard
Obtaining high-quality outputs from Large Language Models (LLMs) often depends upon the choice of a sampling-based decoding strategy to probabilistically choose the next token at e…