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A Survey of Multimodel Large Language Models
Z Liang, Y Xu, Y Hong, P Shang, Q Wang… - Proceedings of the 3rd …, 2024 - dl.acm.org
With the widespread application of the Transformer architecture in various modalities,
including vision, the technology of large language models is evolving from a single modality …
including vision, the technology of large language models is evolving from a single modality …
Multimodal sentiment analysis: a survey of methods, trends, and challenges
Sentiment analysis has come long way since it was introduced as a natural language
processing task nearly 20 years ago. Sentiment analysis aims to extract the underlying …
processing task nearly 20 years ago. Sentiment analysis aims to extract the underlying …
Grit: Faster and better image captioning transformer using dual visual features
Current state-of-the-art methods for image captioning employ region-based features, as they
provide object-level information that is essential to describe the content of images; they are …
provide object-level information that is essential to describe the content of images; they are …
A comprehensive survey of deep learning for image captioning
Generating a description of an image is called image captioning. Image captioning requires
recognizing the important objects, their attributes, and their relationships in an image. It also …
recognizing the important objects, their attributes, and their relationships in an image. It also …
The design and implementation of xiaoice, an empathetic social chatbot
This article describes the development of Microsoft **aoIce, the most popular social chatbot
in the world. **aoIce is uniquely designed as an artifical intelligence companion with an …
in the world. **aoIce is uniquely designed as an artifical intelligence companion with an …
Caption anything: Interactive image description with diverse multimodal controls
Controllable image captioning is an emerging multimodal topic that aims to describe the
image with natural language following human purpose, $\textit {eg} $, looking at the …
image with natural language following human purpose, $\textit {eg} $, looking at the …
From Eliza to **aoIce: challenges and opportunities with social chatbots
Conversational systems have come a long way since their inception in the 1960s. After
decades of research and development, we have seen progress from Eliza and Parry in the …
decades of research and development, we have seen progress from Eliza and Parry in the …
Say as you wish: Fine-grained control of image caption generation with abstract scene graphs
Humans are able to describe image contents with coarse to fine details as they wish.
However, most image captioning models are intention-agnostic which cannot generate …
However, most image captioning models are intention-agnostic which cannot generate …
Deep learning approaches on image captioning: A review
Image captioning is a research area of immense importance, aiming to generate natural
language descriptions for visual content in the form of still images. The advent of deep …
language descriptions for visual content in the form of still images. The advent of deep …
A survey of multimodal sentiment analysis
Sentiment analysis aims to automatically uncover the underlying attitude that we hold
towards an entity. The aggregation of these sentiment over a population represents opinion …
towards an entity. The aggregation of these sentiment over a population represents opinion …