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FS-MEVQA

The Few-Shot Multimodal Explanation for Visual Question Answering (FS-MEVQA) task aims to learn MEVQA from few training samples.

Papers

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Showing 1–7 of 7 papers

Title	Date	Tasks	Status	Hype
GPT-4 Technical Report	Mar 15, 2023	answerability predictionArithmetic Reasoning	CodeCode Available	6
CogVLM: Visual Expert for Pretrained Language Models	Nov 6, 2023	1 Image, 2*2 StitchingFS-MEVQA	CodeCode Available	5
Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond	Aug 24, 2023	Chart Question AnsweringFS-MEVQA	CodeCode Available	5
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context	Mar 8, 2024	1 Image, 2*2 StitchingCode Generation	CodeCode Available	3
REX: Reasoning-aware and Grounded Explanation	Mar 11, 2022	Decision MakingExplanation Generation	CodeCode Available	1
Variational Causal Inference Network for Explanatory Visual Question Answering	Jan 1, 2023	Explanation GenerationExplanatory Visual Question Answering	CodeCode Available	1
Few-Shot Multimodal Explanation for Visual Question Answering	Oct 28, 2024	Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)	CodeCode Available	0

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