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20232026
most citedPlan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models

20 citations · 40 across the 10 of their papers we have counts for

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cs.CV2024

All in an Aggregated Image for In-Image Learning

Lei Wang, Wanyu Xu, Zhiqiang Hu +5

This paper introduces a new in-context learning (ICL) mechanism called In-Image Learning (IL) that combines demonstration examples, visual cues, and chain-of-thought reasoning…

cs.CV2023★ 1 cited

Mitigating Fine-Grained Hallucination by Fine-Tuning Large Vision-Language Models with Caption Rewrites

Lei Wang, Jiabang He, Shenshen Li +2

Large language models (LLMs) have shown remarkable performance in natural language processing (NLP) tasks. To comprehend and execute diverse human instructions over image data, ins…