2 papers
cs.CL2026
Context Tuning for In-Context Optimization
Jack Lu, Ryan Teehan, Zhenbang Yang +1
We introduce Context Tuning, a simple and effective method to significantly enhance few-shot adaptation of large language models (LLMs) without weight updates. In-Context Learning…
cs.CV2025
Medical Report Generation Is A Multi-label Classification Problem
Yijian Fan, Zhenbang Yang, Rui Liu +2
Medical report generation is a critical task in healthcare that involves the automatic creation of detailed and accurate descriptions from medical images. Traditionally, this task…