Articles with "prompt" as a keyword



Simple and Elaborated Clinician Reminder Prompts for Human Papillomavirus Vaccination: A Randomized Clinical Trial.

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Published in 2018 at "Academic pediatrics"

DOI: 10.1016/j.acap.2017.11.002

Abstract: OBJECTIVE To evaluate the effects of simple and elaborated health care provider (HCP) reminder prompts on human papillomavirus (HPV) vaccine initiation rates. METHODS Twenty-nine pediatric HCPs serving 5 pediatric clinics were randomized to 1 of… read more here.

Keywords: prompt; hpv vaccine; simple elaborated; arm ... See more keywords

Evaluation of the Open-Ended Green Chemistry Generic Comparison (GC)2 Prompt for Probing Student Conceptions about the Greenness of a Chemical Reaction

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Published in 2024 at "Journal of Chemical Education"

DOI: 10.1021/acs.jchemed.4c00258

Abstract: One key limitation for assessing student knowledge of green chemistry is the lack of readily available assessments capable of eliciting reliable and valid data. Therefore, in this study we sought to evaluate the ability of… read more here.

Keywords: chemistry; prompt; student conceptions; green chemistry ... See more keywords

Plain Template Insertion: Korean-Prompt-Based Engineering for Few-Shot Learners

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3213027

Abstract: Prompt-based learning is a method used for language models to interpret natural language by remembering the prior knowledge acquired and the training objective. Recent prompt-based few-shot learners have achieved superior performance by alleviating the catastrophic… read more here.

Keywords: korean prompt; prompt; language; prompt based ... See more keywords

Prompt-Driven Multitask Learning With Task Tokens for ORSI Salient Object Detection

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Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3606959

Abstract: Salient object detection in optical remote sensing images (ORSI-SOD) is challenging due to complex backgrounds and subtle boundary cues. While prior methods often introduce edge-guided supervision or auxiliary branches to refine boundaries, they commonly suffer… read more here.

Keywords: task; object detection; prompt; salient object ... See more keywords

Vision-Language Consistency Guided Multi-Modal Prompt Learning for Blind AI Generated Image Quality Assessment

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Published in 2024 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2024.3420083

Abstract: Recently, textual prompt tuning has shown inspirational performance in adapting Contrastive Language-Image Pre-training (CLIP) models to natural image quality assessment. However, such uni-modal prompt learning method only tunes the language branch of CLIP models. This… read more here.

Keywords: quality; image; consistency; prompt ... See more keywords

M3Track: Meta-Prompt for Multi-Modal Tracking

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Published in 2025 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2025.3558116

Abstract: Prompt-tuning has shown remarkable success in multi-modal visual tracking, which enhances RGB tracking by incorporating an additional modality, e.g., thermal infrared (T), Depth (D), or Event (E), forming an RGB+X tracking paradigm. However, in the… read more here.

Keywords: m3track meta; prompt; multi modal;

Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification

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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3509721

Abstract: Remote-sensing fine-grained ship classification (RS-FGSC) poses a significant challenge due to the high similarity between classes and the limited availability of labeled data, limiting the effectiveness of traditional supervised classification methods. Recent advancements in large… read more here.

Keywords: classification; fine grained; prompt; grained ship ... See more keywords

Unleash the Power of Vision-Language Models by Visual Attention Prompt and Multimodal Interaction

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Published in 2025 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2024.3521785

Abstract: Pre-trained vision-language models (VLMs), equipped with parameter-efficient tuning (PET) methods like prompting, have shown impressive knowledge transferability on new downstream tasks, but they are still prone to be limited by catastrophic forgetting and overfitting dilemma… read more here.

Keywords: attention; prompt; vision; language ... See more keywords

PromptVAD: Abnormal Prompt via Vision-Language Model.

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Published in 2025 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2025.3621336

Abstract: Weakly supervised video anomaly detection (WSVAD) aims at predicting frame-level anomaly scores by modeling training videos with video-level annotations. The category names of abnormal events contain high-level knowledge abstracted by humans about abnormalities, which is… read more here.

Keywords: prompt; abnormal prompt; language; learnable abnormal ... See more keywords

Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models

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Published in 2022 at "IEEE Transactions on Visualization and Computer Graphics"

DOI: 10.1109/tvcg.2022.3209479

Abstract: State-of-the-art neural language models can now be used to solve ad-hoc language tasks through zero-shot prompting without the need for supervised training. This approach has gained popularity in recent years, and researchers have demonstrated prompts… read more here.

Keywords: hoc; visual prompt; prompt; interactive visual ... See more keywords

Suppression and azimuthal anisotropy of prompt and nonprompt production in PbPb collisions at

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Published in 2017 at "European Physical Journal C"

DOI: 10.1140/epjc/s10052-017-4781-1

Abstract: The nuclear modification factor and the azimuthal anisotropy coefficient of prompt and nonprompt (i.e. those from decays of b hadrons) mesons, measured from PbPb and pp collisions at at the LHC, are reported. The results… read more here.

Keywords: prompt; prompt nonprompt; suppression; azimuthal anisotropy ... See more keywords