5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 5 cited
Tree-of-Mixed-Thought: Combining Fast and Slow Thinking for Multi-hop Visual Reasoning
Pengbo Hu, Ji Qi, Xingyu Li +5
There emerges a promising trend of using large language models (LLMs) to generate code-like plans for complex inference tasks such as visual reasoning. This paradigm, known as LLM-…
cs.CV2023★ 3 cited
Boosting Multi-modal Model Performance with Adaptive Gradient Modulation
Hong Li, Xingyu Li, Pengbo Hu +3
While the field of multi-modal learning keeps growing fast, the deficiency of the standard joint training paradigm has become clear through recent studies. They attribute the sub-o…
eess.IV2023
Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data
Yinsheng He, Xingyu Li
Recently, various deep learning methods have shown significant successes in medical image analysis, especially in the detection of cancer metastases in hematoxylin and eosin (H&E)…