Results 41 to 50 of about 34,912 (272)

Evaluating GPT-3 Generated Explanations for Hateful Content Moderation [PDF]

open access: yesInternational Joint Conference on Artificial Intelligence, 2023
Recent research has focused on using large language models (LLMs) to generate explanations for hate speech through fine-tuning or prompting. Despite the growing interest in this area, these generated explanations' effectiveness and potential limitations ...
H. Wang   +4 more
semanticscholar   +1 more source

A commentary of GPT-3 in MIT Technology Review 2021

open access: yesFundamental Research, 2021
Through the development of large-scale natural language models with writing and dialogue capabilities, artificial intelligence (AI) has taken a significant stride towards better natural language understanding (NLU) and human-computer interaction (HCI ...
Min Zhang, Juntao Li
doaj   +1 more source

Is GPT-3 a Good Data Annotator?

open access: yesProceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Data annotation is the process of labeling data that could be used to train machine learning models. Having high-quality annotation is crucial, as it allows the model to learn the relationship between the input data and the desired output. GPT-3, a large-scale language model developed by OpenAI, has demonstrated impressive zero- and few-shot ...
Ding, Bosheng   +6 more
openaire   +2 more sources

Exploring Effectiveness of GPT-3 in Grammatical Error Correction: A Study on Performance and Controllability in Prompt-Based Methods [PDF]

open access: yesWorkshop on Innovative Use of NLP for Building Educational Applications, 2023
Large-scale pre-trained language models such as GPT-3 have shown remarkable performance across various natural language processing tasks. However, applying prompt-based methods with GPT-3 for Grammatical Error Correction (GEC) tasks and their ...
Mengsay Loem   +3 more
semanticscholar   +1 more source

Fake and Real Tweet Classification Using a Pre-Trained GPT-3 Approach [PDF]

open access: yesAdvances in Engineering and Intelligence Systems
The widespread utilization of social media has precipitated a notable upsurge in the dissemination of inaccurate information. This underscores the urgency to counteract the propagation of falsehoods and decrease the reliance on these platforms as sources
Delveen Luqman Abd Alnabi
doaj   +1 more source

Fine-Tuning GPT-3 for Russian Text Summarization [PDF]

open access: yes, 2021
Automatic summarization techniques aim to shorten and generalize information given in the text while preserving its core message and the most relevant ideas. This task can be approached and treated with a variety of methods, however, not many attempts have been made to produce solutions specifically for the Russian language despite existing ...
Nikolich Alexandr   +4 more
openaire   +3 more sources

Detecting Hate Speech with GPT-3

open access: yes, 2021
Sophisticated language models such as OpenAI's GPT-3 can generate hateful text that targets marginalized groups. Given this capacity, we are interested in whether large language models can be used to identify hate speech and classify text as sexist or racist.
Chiu, Ke-Li   +2 more
openaire   +2 more sources

The Diagnostic and Triage Accuracy of the GPT-3 Artificial Intelligence Model

open access: yesmedRxiv, 2023
Importance: Artificial intelligence (AI) applications in health care have been effective in many areas of medicine, but they are often trained for a single task using labeled data, making deployment and generalizability challenging.
D. Levine   +6 more
semanticscholar   +1 more source

Chatting with GPT-3 for Zero-Shot Human-Like Mobile Automated GUI Testing [PDF]

open access: yesarXiv.org, 2023
Mobile apps are indispensable for people's daily life, and automated GUI (Graphical User Interface) testing is widely used for app quality assurance. There is a growing interest in using learning-based techniques for automated GUI testing which aims at ...
Zhe Liu   +7 more
semanticscholar   +1 more source

The Ghost in the Machine has an American accent: value conflict in GPT-3 [PDF]

open access: yesarXiv.org, 2022
The alignment problem in the context of large language models must consider the plurality of human values in our world. Whilst there are many resonant and overlapping values amongst the world's cultures, there are also many conflicting, yet equally valid,
Rebecca Lynn Johnson   +6 more
semanticscholar   +1 more source

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