Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Minicpm-v: A gpt-4v level mllm on your phone
The recent surge of Multimodal Large Language Models (MLLMs) has fundamentally
reshaped the landscape of AI research and industry, shedding light on a promising path …
reshaped the landscape of AI research and industry, shedding light on a promising path …
Making the v in vqa matter: Elevating the role of image understanding in visual question answering
Problems at the intersection of vision and language are of significant importance both as
challenging research questions and for the rich set of applications they enable. However …
challenging research questions and for the rich set of applications they enable. However …
LRTA: A transparent neural-symbolic reasoning framework with modular supervision for visual question answering
The predominant approach to visual question answering (VQA) relies on encoding the
image and question with a" black-box" neural encoder and decoding a single token as the …
image and question with a" black-box" neural encoder and decoding a single token as the …
COCO is “ALL” You Need for Visual Instruction Fine-tuning
Multi-modal Large Language Models (MLLMs) are increasingly prominent in the field of
artificial intelligence. Visual instruction fine-tuning (IFT) is a vital process for aligning MLLMs' …
artificial intelligence. Visual instruction fine-tuning (IFT) is a vital process for aligning MLLMs' …
S-VQA: Sentence-Based Visual Question Answering
Visual Question Answering (VQA) system responds to a natural language question in
context of an image. This problem has been primarily formulated as a classification problem …
context of an image. This problem has been primarily formulated as a classification problem …
Customized image narrative generation via interactive visual question generation and answering
Image description task has been invariably examined in a static manner with qualitative
presumptions held to be universally applicable, regardless of the scope or target of the …
presumptions held to be universally applicable, regardless of the scope or target of the …
StackOverflowVQA: Stack Overflow Visual Question Answering Dataset
In recent years, people have increasingly used AI to help them with their problems by asking
questions on different topics. One of these topics can be software-related and programming …
questions on different topics. One of these topics can be software-related and programming …
Efficient GPT-4V Level Multimodal Large Language Model for Deployment on Edge Devices
The recent surge of Multimodal Large Language Models (MLLMs) has fundamentally
reshaped the landscape of AI research and industry, shedding light on a promising path …
reshaped the landscape of AI research and industry, shedding light on a promising path …
Multimodal Learning for Accurate Visual Question Answering: An Attention-based Approach
This paper proposes an open-ended task for Visual Question Answering (VQA) that
leverages the InceptionV3 Object Detection model and an attention-based Long Short-Term …
leverages the InceptionV3 Object Detection model and an attention-based Long Short-Term …
[PDF][PDF] Generate Answer to Visual Questions with Pre-trained Vision-and-Language Embeddings
Abstract Visual Question Answering is a multi-modal task under the consideration of both the
Vision and Language communities. Present VQA models are limited to classification …
Vision and Language communities. Present VQA models are limited to classification …