Papers FS-MEVQA
“FS-MEVQA” 태그가 달린 논문 7편 · 필터 해제
Few-Shot Multimodal Explanation for Visual Question Answering
A key object in eXplainable Artificial Intelligence (XAI) is to create intelligent systems capable of reasoning and explaining real-world data to facilitate reliable decision-making. Recent studies have acknowledged the …
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)FS-MEVQAQuestion Answering+3Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
In this report, we introduce the Gemini 1.5 family of models, representing the next generation of highly compute-efficient multimodal models capable of recalling and reasoning over fine-grained information from millions …
1 Image, 2*2 StitchingCode GenerationFS-MEVQAImage Retrieval+8CogVLM: Visual Expert for Pretrained Language Models
We introduce CogVLM, a powerful open-source visual language foundation model. Different from the popular shallow alignment method which maps image features into the input space of language model, CogVLM bridges the gap b…
1 Image, 2*2 StitchingFS-MEVQAImage RetrievalLanguage Modeling+5Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
In this work, we introduce the Qwen-VL series, a set of large-scale vision-language models (LVLMs) designed to perceive and understand both texts and images. Starting from the Qwen-LM as a foundation, we endow it with vi…
Chart Question AnsweringFS-MEVQAImage CaptioningImage Description+11GPT-4 Technical Report
We report the development of GPT-4, a large-scale, multimodal model which can accept image and text inputs and produce text outputs. While less capable than humans in many real-world scenarios, GPT-4 exhibits human-level…
answerability predictionArithmetic ReasoningBug fixingCode Generation+18Variational Causal Inference Network for Explanatory Visual Question Answering
Explanatory Visual Question Answering (EVQA) is a recently proposed multimodal reasoning task that requires answering visual questions and generating multimodal explanations for the reasoning processes. Unlike tradit…
Explanation GenerationExplanatory Visual Question AnsweringFS-MEVQAMultimodal Reasoning+3REX: Reasoning-aware and Grounded Explanation
Effectiveness and interpretability are two essential properties for trustworthy AI systems. Most recent studies in visual reasoning are dedicated to improving the accuracy of predicted answers, and less attention is paid…
Decision MakingExplanation GenerationExplanatory Visual Question AnsweringFS-MEVQA+4