Results 131 to 140 of about 2,563,053 (365)
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
We present a memory augmented neural network for natural language understanding: Neural Semantic Encoders. NSE is equipped with a novel memory update rule and has a variable sized encoding memory that evolves over time and maintains the understanding of ...
Munkhdalai, Tsendsuren, Yu, Hong
core +1 more source
A Task and Motion Planning Framework for Partially Observable Household Manipulation Scenes
This paper presents a novel TAMP framework tackling partial observability, cluttered scenes, and vague goals via symbolic reasoning and occlusion‐aware planning. It outperforms prior learning, policy, and LLM‐based methods in six real and simulated household tasks.
Yuhong Ma +3 more
wiley +1 more source
Semantic and episodic processes differently predict false memories in the DRM task
There is a fervent debate about the processes underpinning false memories formation. Seminal theories have suggested that semantic memory would be involved in false memories production, while episodic memory would counter their formation.
Daniele Gatti +3 more
doaj +1 more source
This study proposes RefineCatDiff, a refinement framework for high‐quality medical image segmentation. By developing a categorical distribution‐based discrete diffusion process for refinement, the framework aligns well with the characteristics of image segmentation tasks. Experimental results on multiple datasets across different modalities demonstrate
Feng Liu +8 more
wiley +1 more source
The effect of positively arousing images on Declarative Memory
Declarative memory, that is, the recall of conscious memories from long-term memory, can involve either details of a previous experience (episodic memory) or general knowledge about the world (semantic memory).
Theodora Skondra +7 more
doaj +1 more source
HOW DO EPISODIC AND SEMANTIC MEMORY CONTRIBUTE TO EPISODIC FORESIGHT IN YOUNG CHILDREN?
Humans are able to transcend the present and mentally travel to another time, place, or perspective. Mentally projecting ourselves backwards (i.e., episodic memory) or forwards (i.e., episodic foresight) in time are crucial characteristics of the human ...
Gema eMartin Ordas +2 more
doaj +1 more source
The Use of Rhyme, Rhythm, and Melody as a Form of Repetition Priming to Aid in Encoding, Storage, and Retrieval of Semantic Memories in Alzheimer’s Patients [PDF]
Millions are diagnosed with Alzheimer’s disease annually which can have debilitating effects on patient memory. Thus, finding new ways to help facilitate memory in these patients, especially through non-pharmaceutical means, has become increasingly ...
Plastikwala, Faiz
core +2 more sources
Geometry‐Guided Transformer for Monocular 3D Object Detection
This work proposes a geometry‐guided transformer‐based framework for monocular 3D object detection. By incorporating spatial features and geometry guidance through the advanced transformer structure, the method addresses the limitations of existing methods and improves detection accuracy and convergence speed, achieving SOTA detection performance with ...
Man Zhang +4 more
wiley +1 more source
Evidence of semantic coding in short-term memory [PDF]
H. C. A. Dale, Margaret Gregory
openalex +1 more source

