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Found 8 papers, 2 papers with code
The Da Vinci Code of Large Pre-trained Language Models: Deciphering Degenerate Knowledge Neurons
This paper provides a comprehensive definition of DKNs that covers both structural and functional aspects, pioneering the study of structures in PLMs' factual knowledge storage units.
TRANSOM: An Efficient Fault-Tolerant System for Training LLMs
As a result, A substantial amount of training time is devoted to task checkpoint saving and loading, task rescheduling and restart, and task manual anomaly checks, which greatly harms the overall training efficiency.
Fictional Worlds, Real Connections: Developing Community Storytelling Social Chatbots through LLMs
We address the integration of storytelling and Large Language Models (LLMs) to develop engaging and believable Social Chatbots (SCs) in community settings.
Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons
We design cross-lingual knowledge editing experiments, demonstrating that the PLMs can accomplish this task based on language-independent neurons; (2) The discovery of Degenerate Knowledge Neurons, a novel type of neuron showing that different knowledge neurons can store the same fact.
From CNN to Transformer: A Review of Medical Image Segmentation Models
Medical image segmentation is an important step in medical image analysis, especially as a crucial prerequisite for efficient disease diagnosis and treatment.
FastBVP-Net: a lightweight pulse extraction network for measuring heart rhythm via facial videos
Remote photoplethysmography (rPPG) is an attractive camera-based health monitoring method that can measure the heart rhythm from facial videos.
Trinary Tools for Continuously Valued Binary Classifiers
Machine learning practitioners must perform model selection, calibration, discretization, performance assessment, tuning, and fairness assessment.
Remote blood pressure measurement via spatiotemporal mapping of a short-time facial video
Blood pressure (BP) monitoring is vital in daily healthcare, especially for cardiovascular diseases.
