Results 11 to 20 of about 83,605 (232)
Este componente contém os prompts completos utilizados nas ferramentas ChatGPT Plus e NotebookLM durante as etapas de análise temática, análise metodológica, identificação de lacunas de pesquisa e mapeamento conceitual. O objetivo é permitir a replicação
Marcelo Gustavo Bittar Bastos Pereira
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Point-of-choice prompts as tools of behaviour change; moderators of impact [PDF]
, 2011 Point-of-choice prompts consistently increase stair climbing in public access settings. Comparison of message content, however, is rare. Chapter two reports that, after controlling for the effects of traffic, similar effects on stair climbing were ...
Lewis, Amanda Louise
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POP: Prompt Of Prompts for Continual Learning
CoRR, 2023 Continual learning (CL) has attracted increasing attention in the recent past. It aims to mimic the human ability to learn new concepts without catastrophic forgetting. While existing CL methods accomplish this to some extent, they are still prone to semantic drift of the learned feature space. Foundation models, which are endowed with a robust feature
Zhiyuan Hu +3 more
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Prompt Backdoors in Visual Prompt Learning
CoRR, 2023 Fine-tuning large pre-trained computer vision models is infeasible for resource-limited users. Visual prompt learning (VPL) has thus emerged to provide an efficient and flexible alternative to model fine-tuning through Visual Prompt as a Service (VPPTaaS).
Hai Huang 0014 +4 more
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Prompt-aligned Gradient for Prompt Tuning
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 Thanks to the large pre-trained vision-language models (VLMs) like CLIP, we can craft a zero-shot classifier by "prompt", e.g., the confidence score of an image being "[CLASS]" can be obtained by using the VLM provided similarity measure between the image and the prompt sentence "a photo of a [CLASS]". Therefore, prompt shows a great potential for fast
Beier Zhu +4 more
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, 2009 STROLL project instructions and prompts for learners' video ...
JISC Learner Experiences of e-Learning programme
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CoRR, 2023 Modern large language models (LLMs) are capable of interpreting input strings as instructions, or prompts, and carry out tasks based on them. Unlike traditional learners, LLMs cannot use back-propagation to obtain feedback, and condition their output in situ in a phenomenon known as in-context learning (ICL).
Adrian de Wynter +3 more
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A comparison of most to least prompting, no‐no prompting and responsive prompt delay procedures [PDF]
Behavioral Interventions, 2021 AbstractDiscrete trial training is a commonly used to teach children with autism spectrum disorder and related intellectual disabilities. A number of prompting and error correction strategies can be implemented when using discrete trial training. These strategies need to be effective and efficient. We compared a novel procedure, responsive prompt delay,
Denise Foran‐Conn +6 more
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Dynamic Prompting: A Unified Framework for Prompt Tuning
CoRR, 2023 It has been demonstrated that the art of prompt tuning is highly effective in efficiently extracting knowledge from pretrained foundation models, encompassing pretrained language models (PLMs), vision pretrained models, and vision-language (V-L) models.
Yang, Xianjun +5 more
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