FS-MEVQA
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Benchmarks
SME
Most implemented
GPT-4 Technical Report
CogVLM: Visual Expert for Pretrained Language Models
Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
Few-Shot Multimodal Explanation for Visual Question Answering
Papers
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+3