中文
相关论文

相关论文: a survey on GPT-3

200 篇论文

Large-scale AI models such as GPT-4 have accelerated the deployment of artificial intelligence across critical domains including law, healthcare, and finance, raising urgent questions about trust and transparency. This study investigates…

人工智能 · 计算机科学 2025-10-20 Allen Daniel Sunny

The transformative influence of Large Language Models (LLMs) is profoundly reshaping the Artificial Intelligence (AI) technology domain. Notably, ChatGPT distinguishes itself within these models, demonstrating remarkable performance in…

软件工程 · 计算机科学 2024-05-28 Sayed Erfan Arefin , Tasnia Ashrafi Heya , Hasan Al-Qudah , Ynes Ineza , Abdul Serwadda

Recent advancements in technology have necessitated a paradigm shift in the people use technology necessitating a new research field called Human-Machine collaboration. ChatGPT, an Artificial intelligence (AI) assistive technology, has…

人机交互 · 计算机科学 2023-10-24 Munachimso Blessing Oguine , Chidera Godsfavor Oguine , Kanyifeechukwu Jane Oguine

Cognitive psychology delves on understanding perception, attention, memory, language, problem-solving, decision-making, and reasoning. Large language models (LLMs) are emerging as potent tools increasingly capable of performing human-level…

计算与语言 · 计算机科学 2023-04-13 Sifatkaur Dhingra , Manmeet Singh , Vaisakh SB , Neetiraj Malviya , Sukhpal Singh Gill

Even though AI literacy has emerged as a prominent education topic in the wake of generative AI, its definition remains vague. There is little consensus among researchers and practitioners on how to discuss and design AI literacy…

计算机与社会 · 计算机科学 2025-08-07 Xingjian Gu , Barbara J. Ericson

How can we test whether state-of-the-art generative models, such as Blender and GPT-3, are good AI teachers, capable of replying to a student in an educational dialogue? Designing an AI teacher test is challenging: although evaluation…

计算与语言 · 计算机科学 2022-05-17 Anaïs Tack , Chris Piech

Over the eight months since its release, ChatGPT and its underlying model, GPT3.5, have garnered massive attention, due to their potent mix of capability and accessibility. While a niche-industry of papers have emerged examining the scope…

计算与语言 · 计算机科学 2024-02-07 David Bayani

The rapid advancement of large language models, such as the Generative Pre-trained Transformer (GPT) series, has had significant implications across various disciplines. In this study, we investigate the potential of the state-of-the-art…

计算与语言 · 计算机科学 2023-09-06 Yunhao Yang , Anshul Tomar

The recent advancements in Large Language Models (LLMs), particularly conversational LLMs like ChatGPT, have prompted changes in a range of fields, including design. This study aims to examine the capabilities of ChatGPT in a human-centered…

人机交互 · 计算机科学 2023-02-16 A. Baki Kocaballi

Artificial intelligence has evolved enormously over the last two decades, becoming mainstream in different scientific domains including education, where so far, it is mainly utilized to enhance administrative and intelligent tutoring…

计算机与社会 · 计算机科学 2023-06-21 Fereniki Panagopoulou , Christina Parpoula , Kostas Karpouzis

The scope of this survey paper is to explore the challenges in automatic story generation. We hope to contribute in the following ways: 1. Explore how previous research in story generation addressed those challenges. 2. Discuss future…

计算与语言 · 计算机科学 2021-02-26 Amal Alabdulkarim , Siyan Li , Xiangyu Peng

This study investigates the development and assessment of an artificial human designed as a conversational AI chatbot, focusing on its role as a clinical psychologist. The project involved creating a specialized chatbot using the…

人机交互 · 计算机科学 2025-03-24 Birger Moell

This paper discusses the effectiveness of leveraging Chatbot: Generative Pre-trained Transformer (ChatGPT) versions 3.5 and 4 for analyzing research papers for effective writing of scientific literature surveys. The study selected the…

Artificial Intelligence (AI) in recent years has shown an unprecedentedly impressive development, tending to play a catalytic role in all aspects of life. The interest of the academic community, but also of governments, is huge in the…

人机交互 · 计算机科学 2024-02-14 Dimitrios Sidiropoulos , Christos-Nikolaos Anagnostopoulos

Large Language Models (LLMs) have revo lutionized natural language processing Natural Language Processing (NLP), with Chat Generative Pre-trained Transformer (ChatGPT) standing out as a notable exampledue to its advanced capabilities and…

计算与语言 · 计算机科学 2025-03-25 Azim Akhtarshenas , Afshin Dini , Navid Ayoobi

How good a research scientist is ChatGPT? We systematically probed the capabilities of GPT-3.5 and GPT-4 across four central components of the scientific process: as a Research Librarian, Research Ethicist, Data Generator, and Novel Data…

人工智能 · 计算机科学 2024-06-24 Steven A. Lehr , Aylin Caliskan , Suneragiri Liyanage , Mahzarin R. Banaji

Generative Pre-trained Transformers (GPTs) have recently been scaled to unprecedented sizes in the history of machine learning. These models, solely trained on the language modeling objective, have been shown to exhibit outstanding few-shot…

计算与语言 · 计算机科学 2021-08-31 Jordi Armengol-Estapé , Ona de Gibert Bonet , Maite Melero

The rapid advancement of generative Artificial Intelligence (AI) technologies, particularly Generative Pre-trained Transformer (GPT) models such as ChatGPT, has the potential to significantly impact cybersecurity. In this study, we…

计算机与社会 · 计算机科学 2024-03-19 Raza Nowrozy , David Jam

Large, transformer-based pretrained language models like BERT, GPT, and T5 have demonstrated a deep understanding of contextual semantics and language syntax. Their success has enabled significant advances in conversational AI, including…

计算与语言 · 计算机科学 2023-02-17 Christopher Richardson , Larry Heck

This report presents a study on the emotional dialogue capability of ChatGPT, an advanced language model developed by OpenAI. The study evaluates the performance of ChatGPT on emotional dialogue understanding and generation through a series…

计算与语言 · 计算机科学 2023-04-20 Weixiang Zhao , Yanyan Zhao , Xin Lu , Shilong Wang , Yanpeng Tong , Bing Qin