5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2023
UniPredict: Large Language Models are Universal Tabular Classifiers
Ruiyu Wang, Zifeng Wang, Jimeng Sun
Tabular data prediction is a fundamental machine learning task for many applications. Existing methods predominantly employ discriminative modeling and operate under the assumption…
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-…