Ran Gu

Chain-of-Thought prompting doesn't always improve LLMs' ability to solve discrete optimization problems, and surprisingly, "disordered" datasets can sometimes boost performance on simpler tasks.

CT-Bench reveals that even state-of-the-art multimodal models struggle with lesion understanding in CT scans, highlighting the need for specialized datasets and fine-tuning to bridge the gap between AI and radiologist performance.