[HTML][HTML] Summary of chatgpt-related research and perspective towards the future of large language models
Y Liu, T Han, S Ma, J Zhang, Y Yang, J Tian, H He, A Li… - Meta-Radiology, 2023 - Elsevier
This paper presents a comprehensive survey of ChatGPT-related (GPT-3.5 and GPT-4)
research, state-of-the-art large language models (LLM) from the GPT series, and their …
research, state-of-the-art large language models (LLM) from the GPT series, and their …
On the hidden mystery of ocr in large multimodal models
Large models have recently played a dominant role in natural language processing and
multimodal vision-language learning. However, their effectiveness in text-related visual …
multimodal vision-language learning. However, their effectiveness in text-related visual …
Benchmarking ChatGPT-4 on ACR radiation oncology in-training (TXIT) exam and red journal gray zone cases: Potentials and challenges for AI-assisted medical …
The potential of large language models in medicine for education and decision making
purposes has been demonstrated as they achieve decent scores on medical exams such as …
purposes has been demonstrated as they achieve decent scores on medical exams such as …
LayoutLLM: Layout Instruction Tuning with Large Language Models for Document Understanding
Recently leveraging large language models (LLMs) or multimodal large language models
(MLLMs) for document understanding has been proven very promising. However previous …
(MLLMs) for document understanding has been proven very promising. However previous …
Read, diagnose and chat: Towards explainable and interactive LLMs-augmented depression detection in social media
This paper proposes a new depression detection system based on LLMs that is both
interpretable and interactive. It not only provides a diagnosis, but also diagnostic evidence …
interpretable and interactive. It not only provides a diagnosis, but also diagnostic evidence …
T-sciq: Teaching multimodal chain-of-thought reasoning via large language model signals for science question answering
Abstract Large Language Models (LLMs) have recently demonstrated exceptional
performance in various Natural Language Processing (NLP) tasks. They have also shown …
performance in various Natural Language Processing (NLP) tasks. They have also shown …
Layout and task aware instruction prompt for zero-shot document image question answering
Layout-aware pre-trained models has achieved significant progress on document image
question answering. They introduce extra learnable modules into existing language models …
question answering. They introduce extra learnable modules into existing language models …
Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer
Scene text recognition (STR) in the wild frequently encounters challenges when coping with
domain variations font diversity shape deformations etc. A straightforward solution is …
domain variations font diversity shape deformations etc. A straightforward solution is …
Understanding Strategies and Challenges of Conducting Daily Data Analysis (DDA) Among Blind and Low-vision People
Being able to analyze and derive insights from data, which we call Daily Data Analysis
(DDA), is an increasingly important skill in everyday life. While the accessibility community …
(DDA), is an increasingly important skill in everyday life. While the accessibility community …
Is ChatGPT capable of crafting gamification strategies for software engineering tasks?
T Fulcini, M Torchiano - Proceedings of the 2nd International Workshop …, 2023 - dl.acm.org
Gamification has gained significant attention in the last decade for its potential to enhance
engagement and motivation in various domains. During the last year ChatGPT, a state-of-the …
engagement and motivation in various domains. During the last year ChatGPT, a state-of-the …