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For centuries, researchers have sought out ways to connect disparate areas of knowledge. While early scholars (Galileo, da Vinci, etc.) were experts across fields, specialization has taken hold later. With the advent of Artificial…

Computation and Language · Computer Science 2023-10-17 Markus J. Buehler

Recently, the remarkable success of ChatGPT has sparked a renewed wave of interest in artificial intelligence (AI), and the advancements in visual language models (VLMs) have pushed this enthusiasm to new heights. Differring from previous…

Artificial Intelligence · Computer Science 2025-01-03 Lijie Tao , Haokui Zhang , Haizhao Jing , Yu Liu , Dawei Yan , Guoting Wei , Xizhe Xue

Large language models (LLMs) such as ChatGPT are increasingly being used for various use cases, including text content generation at scale. Although detection methods for such AI-generated text exist already, we investigate ChatGPT's…

Computation and Language · Computer Science 2023-08-21 Amrita Bhattacharjee , Huan Liu

ChatGPT embarks on a new era of artificial intelligence and will revolutionize the way we approach intelligent traffic safety systems. This paper begins with a brief introduction about the development of large language models (LLMs). Next,…

Computation and Language · Computer Science 2023-09-07 Ou Zheng , Mohamed Abdel-Aty , Dongdong Wang , Zijin Wang , Shengxuan Ding

Large language models (LLMs) have emerged as powerful general-purpose interfaces for many machine learning problems. Recent work has adapted LLMs to generative visual tasks like image captioning, visual question answering, and visual chat,…

Computer Vision and Pattern Recognition · Computer Science 2024-03-28 Piotr Teterwak , Ximeng Sun , Bryan A. Plummer , Kate Saenko , Ser-Nam Lim

Large language models (LLMs) have garnered significant attention, but the definition of "large" lacks clarity. This paper focuses on medium-sized language models (MLMs), defined as having at least six billion parameters but less than 100…

Computation and Language · Computer Science 2023-07-06 René Peinl , Johannes Wirth

Vision-language models (VLMs) such as CLIP have shown promising performance on a variety of recognition tasks using the standard zero-shot classification procedure -- computing similarity between the query image and the embedded words for…

Computer Vision and Pattern Recognition · Computer Science 2022-12-02 Sachit Menon , Carl Vondrick

In the pursuit of efficient automated content creation, procedural generation, leveraging modifiable parameters and rule-based systems, emerges as a promising approach. Nonetheless, it could be a demanding endeavor, given its intricate…

Computer Vision and Pattern Recognition · Computer Science 2024-05-30 Chunyi Sun , Junlin Han , Weijian Deng , Xinlong Wang , Zishan Qin , Stephen Gould

Large language models (LLMs) have recently demonstrated their potential in clinical applications, providing valuable medical knowledge and advice. For example, a large dialog LLM like ChatGPT has successfully passed part of the US medical…

Computer Vision and Pattern Recognition · Computer Science 2023-02-15 Sheng Wang , Zihao Zhao , Xi Ouyang , Qian Wang , Dinggang Shen

Large language models (LLMs) like ChatGPT have shown significant advancements across diverse natural language understanding (NLU) tasks, including intelligent dialogue and autonomous agents. Yet, lacking widely acknowledged testing…

Computation and Language · Computer Science 2024-05-10 Jinyang Wu , Feihu Che , Xinxin Zheng , Shuai Zhang , Ruihan Jin , Shuai Nie , Pengpeng Shao , Jianhua Tao

Panoptic Scene Graph Generation (PSG) aims at achieving a comprehensive image understanding by simultaneously segmenting objects and predicting relations among objects. However, the long-tail problem among relations leads to unsatisfactory…

Computer Vision and Pattern Recognition · Computer Science 2024-06-21 Zijian Zhou , Miaojing Shi , Holger Caesar

Large language models (LLMs), such as ChatGPT, have received substantial attention due to their capabilities for understanding and generating human language. While there has been a burgeoning trend in research focusing on the employment of…

ChatGPT and other state-of-the-art large language models (LLMs) are rapidly transforming multiple fields, offering powerful tools for a wide range of applications. These models, commonly trained on vast datasets, exhibit human-like text…

Large language models (LLMs) support data analysis through conversational user interfaces, as exemplified in OpenAI's ChatGPT (formally known as Advanced Data Analysis or Code Interpreter). Essentially, LLMs produce code for accomplishing…

Human-Computer Interaction · Computer Science 2024-08-06 Liwenhan Xie , Chengbo Zheng , Haijun Xia , Huamin Qu , Chen Zhu-Tian

The growing sophistication of deepfakes presents substantial challenges to the integrity of media and the preservation of public trust. Concurrently, vision-language models (VLMs), large language models enhanced with visual reasoning…

Computer Vision and Pattern Recognition · Computer Science 2025-06-13 Shahroz Tariq , David Nguyen , M. A. P. Chamikara , Tingmin Wu , Alsharif Abuadbba , Kristen Moore

The zero-shot performance of existing vision-language models (VLMs) such as CLIP is limited by the availability of large-scale, aligned image and text datasets in specific domains. In this work, we leverage two complementary sources of…

Computer Vision and Pattern Recognition · Computer Science 2024-04-05 Oindrila Saha , Grant Van Horn , Subhransu Maji

Large language models (LLMs) have been one of the most important discoveries in machine learning in recent years. LLM-based artificial intelligence (AI) assistants, such as ChatGPT, have consistently attracted the attention from…

Computation and Language · Computer Science 2025-03-19 Alexey Karev , Dong Xu

Large Language Models (LLMs) have gathered significant attention due to their impressive performance on a variety of tasks. ChatGPT, developed by OpenAI, is a recent addition to the family of language models and is being called a disruptive…

Computation and Language · Computer Science 2023-08-29 Mayank Soni , Vincent Wade

Compared to traditional sentiment analysis, which only considers text, multimodal sentiment analysis needs to consider emotional signals from multimodal sources simultaneously and is therefore more consistent with the way how humans process…

Computation and Language · Computer Science 2024-08-19 Hao Yang , Yanyan Zhao , Yang Wu , Shilong Wang , Tian Zheng , Hongbo Zhang , Zongyang Ma , Wanxiang Che , Bing Qin

Online news platforms commonly employ personalized news recommendation methods to assist users in discovering interesting articles, and many previous works have utilized language model techniques to capture user interests and understand…

Information Retrieval · Computer Science 2023-06-21 Xinyi Li , Yongfeng Zhang , Edward C. Malthouse
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