Results 41 to 50 of about 34,912 (272)
Evaluating GPT-3 Generated Explanations for Hateful Content Moderation [PDF]
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
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?
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]
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]
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]
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
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
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]
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]
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

