Preparing Future Health Professionals for Interprofessional Collaborative Practice Part 1: The Context for Learning.
Sign Up to like & getrecommendations! Published in 2017 at "Seminars in speech and language"
DOI: 10.1055/s-0037-1607344
Abstract: The importance of interprofessional education and practice has been well documented for all health care disciplines. Our health care delivery system is challenged by the need to prepare health professions graduates with skills that get… read more here.
Keywords: health; health care; practice; context learning ... See more keywords
Context learning before birth: evidence from the chick embryo
Sign Up to like & getrecommendations! Published in 2019 at "Biology Letters"
DOI: 10.1098/rsbl.2019.0104
Abstract: Learning contextual information to form associative memories with stimuli of interest is an important brain function in both human and non-human animals. Intuitively, one would expect that such a sophisticated cognitive skill develops postnatally, as… read more here.
Keywords: context; learning birth; evidence chick; birth evidence ... See more keywords
Predicting Bird's-Eye-View Semantic Representations Using Correlated Context Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2024.3384078
Abstract: We redefine the concept of bird's-eye-view (BEV) imaging for machine cognition tasks, emphasizing its power as an image interpretation tool. Humans intuitively translate two-dimensional (2D) images into BEV representations by discerning and integrating spatial information,… read more here.
Keywords: predicting bird; eye view; bird eye; context learning ... See more keywords
LactFormer: Language-Aware Context Learning With Multi-Cue Transformers for HOI Detection
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2025.3571778
Abstract: Human-Object Interaction (HOI) detection is critical for advancing machine understanding of complex visual environments involving human activities and their interactions with objects. Existing Transformer-based approaches have achieved significant progress but often fall short in fully… read more here.
Keywords: context learning; hoi detection; language; aware context ... See more keywords
Valuing Training Data via Causal Inference for In-Context Learning
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DOI: 10.1109/tkde.2025.3546761
Abstract: In-context learning (ICL) empowers large pre-trained language models (PLMs) to predict outcomes for unseen inputs without parameter updates. However, the efficacy of ICL heavily relies on the choice of demonstration examples. Randomly selecting from the… read more here.
Keywords: training data; inference; context learning; causal inference ... See more keywords
Benchmarking In-Context Learning Strategies of Large Language Models for Math Reasoning Tasks
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DOI: 10.1109/tlt.2025.3630117
Abstract: The use of large language models (LLMs) in mathematical reasoning has become a cornerstone of related research, demonstrating the intelligence of these models and enabling potential practical applications through their advanced performance, such as in… read more here.
Keywords: large language; mathematical reasoning; context learning; benchmarking context ... See more keywords
MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning
Sign Up to like & getrecommendations! Published in 2025 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.48550/arxiv.2502.15954
Abstract: OBJECTIVES To optimize in-context learning in biomedical natural language processing by improving example selection. MATERIALS AND METHODS We introduce a novel multi-mode retrieval-augmented generation (MMRAG) framework, which integrates 4 retrieval strategies: (1) Random Mode, selecting… read more here.
Keywords: multi mode; retrieval; generation; mode ... See more keywords