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Rethinking Metaphor Evaluation: Aptness Judgments as a Cognitive Probe for Language Models
Rethinking Metaphor Evaluation: Aptness Judgments as a Cognitive Probe for Language Models
Metaphor is a pervasive rhetorical resource and a core cognitive mechanism for cross-domain conceptual mapping. We define ...
Simulating Collaborative Cognition: an LLM Agent Framework for Multi-Stance Public Opinion Summarization
Simulating Collaborative Cognition: an LLM Agent Framework for Multi-Stance Public Opinion Summarization
The prevalence of algorithm-driven personalization often traps users in information cocoons, creating an urgent need for t...
LLM Alignment should go beyond Harmlessness–Helpfulness and incorporate Human Agency
LLM Alignment should go beyond Harmlessness–Helpfulness and incorporate Human Agency
Large Language Models are transforming communication, research, and decision-making, but misalignment – when models ...
Hybrid Loss-Driven Attention Residual U-Net with Multiscale Cascaded CBAM for Breast Cancer Segmentation
Hybrid Loss-Driven Attention Residual U-Net with Multiscale Cascaded CBAM for Breast Cancer Segmentation
In medical imaging, breast tumor segmentation is the most difficult task for early detection. However, the task of segment...
Causal Decoupling of Spatio-Temporal Confounders for Classroom Interaction Behaviour Recognition
Causal Decoupling of Spatio-Temporal Confounders for Classroom Interaction Behaviour Recognition
Classroom behaviour recognition is easily disrupted by visual confounders such as dense crowds, occlusions, viewpoint and ...
Resizer-Integrated RepGFPN-Based Multi-Scale Feature Fusion Network with Perturbation Training for Micro-Expression Recognition
Resizer-Integrated RepGFPN-Based Multi-Scale Feature Fusion Network with Perturbation Training for Micro-Expression Recognition
Automatic micro—expression recognition holds significant applications in multiple domains. However, its development ...
A Large-Scale Cross-View Truck Benchmark with Dynamic Adaptive Fusion Attention Mechanism
A Large-Scale Cross-View Truck Benchmark with Dynamic Adaptive Fusion Attention Mechanism
Cross-View Truck Re-Identification (CV-TR) constitutes a pivotal component in intelligent urban traffic systems, particula...
VTPPG: End-to-end Video-Transformed Persona Poem Generation
VTPPG: End-to-end Video-Transformed Persona Poem Generation
Chinese poetry has been a cultural carrier of storytelling since ancient Chinese culture. Human poets convey their narrati...
Breaking Barriers: Multi-Agent Prompt Fusion for Automated LLM Jailbreaks
Breaking Barriers: Multi-Agent Prompt Fusion for Automated LLM Jailbreaks
With the widespread deployment of Large Language Models (LLMs) across various natural language processing tasks, their pot...
Keying Into Cognition: Temporal Smoothing of Smartphone Typing Behaviors for Passive Assessment of Processing Speed and Executive Function in Individuals With Mood Disorders
Keying Into Cognition: Temporal Smoothing of Smartphone Typing Behaviors for Passive Assessment of Processing Speed and Executive Function in Individuals With Mood Disorders
Cognitive deficits commonly affect everyday life for individuals with mood disorders, even between mood episodes. Monitori...
Multi-modal Zebra Crossing Detection Framework for Visually Impaired Navigation
Multi-modal Zebra Crossing Detection Framework for Visually Impaired Navigation
Independent walking poses a significant challenge for visually impaired individuals, especially during street crossings. T...
A Brain-Inspired Model for Efficient Graph Learning in Human Cyber Physical Networks
A Brain-Inspired Model for Efficient Graph Learning in Human Cyber Physical Networks
Despite the growing influence of AI in society, experts in industrial settings face challenges in the integration of human...
Artificial Intelligence Empowered Traumatic Brain Injury Diagnosis: A Comprehensive Survey of Methods and Applications
Artificial Intelligence Empowered Traumatic Brain Injury Diagnosis: A Comprehensive Survey of Methods and Applications
In recent years, traumatic brain injury (TBI) has emerged as a critical yet under-recognized global health concern, contri...
Dual Memory Matrix Gannet Optimization with Dynamic Weight Adjustment for Robust Feature Selection
Dual Memory Matrix Gannet Optimization with Dynamic Weight Adjustment for Robust Feature Selection
Feature selection tasks are commonly handled by swarm intelligence algorithms, but they often struggle to maintain robustn...
A Derived Functional Framework for Cognitive Computational Learning System
A Derived Functional Framework for Cognitive Computational Learning System
The motivations of this work are the comprehensive construction and computational analysis of a model structure derived ob...
Computational Frameworks for Identifying and Visualizing SNP-SNP Interactions in Alzheimer’s Disease Risk
Computational Frameworks for Identifying and Visualizing SNP-SNP Interactions in Alzheimer’s Disease Risk
Alzheimer’s disease (AD) is a complicated disease that attacks the brain’s neurons. Numerous efforts have been...
MixingInsights: A Framework for Causal Inference with Confounder Representation Learning from Mixed Structured and Textual Data
MixingInsights: A Framework for Causal Inference with Confounder Representation Learning from Mixed Structured and Textual Data
Estimating causal effects from real-world observational data, which often mixes structured features and unstructured text,...
EmoDLNet: End-to-End Multi-Scale Spatio-Temporal Deep Learning for EEG-Based Emotion Recognition in Affective Human-Computer Interaction
EmoDLNet: End-to-End Multi-Scale Spatio-Temporal Deep Learning for EEG-Based Emotion Recognition in Affective Human-Computer Interaction
Real-time emotion recognition from EEG signals is crucial for enhancing user engagement in human-computer interaction (HCI...
End-to-End Domain Adaptation Network for Cross-Domain Image Retrieval
End-to-End Domain Adaptation Network for Cross-Domain Image Retrieval
With the intense emergence of information technology, image data becomes widely used in multiple applications, such as inf...
Enhancing Facial Beauty Prediction with a Cross-Attention Vision Transformer and Attention-Guided Augmentation
Enhancing Facial Beauty Prediction with a Cross-Attention Vision Transformer and Attention-Guided Augmentation
Facial Beauty Prediction (FBP) is a long-standing and inherently challenging task in computer vision, primarily due to the...
Multi-stage Alzheimer’s Disease Classification Using Squeeze Excitation Light Channel Network with a Random Lyrebird: Achieving High Sensitivity and Precision in Early Detection
Multi-stage Alzheimer’s Disease Classification Using Squeeze Excitation Light Channel Network with a Random Lyrebird: Achieving High Sensitivity and Precision in Early Detection
Alzheimer’s disease poses a substantial challenge due to the desperate need for enhancing early detection methods fo...
SwinTSER: An Improved Bilingual Speech Emotion Recognition Using Shift Window Transformer
SwinTSER: An Improved Bilingual Speech Emotion Recognition Using Shift Window Transformer
Emotion recognition from human speech occupies a significant position in Human-Computer Interaction, especially with the r...
Human Stress Level Detection Using Hybrid Cascaded Neuro-Fuzzy SpinalNet
Human Stress Level Detection Using Hybrid Cascaded Neuro-Fuzzy SpinalNet
In the current century, most human beings are distressed by stress. The stress impacts the mental and physical health of p...
Symbolic Faces and Artificial Minds: Evaluating Artificial Intelligence Recognition of Punctuation-Based Face Expressions Using ChatGPT, Claude, and DeepSeek Models
Symbolic Faces and Artificial Minds: Evaluating Artificial Intelligence Recognition of Punctuation-Based Face Expressions Using ChatGPT, Claude, and DeepSeek Models
Many scientists suspect that AI can replace humans in most situations, while others think that AI cannot intuitively repla...
Test-Time Adaptation of a Multi-Class Object Localization and Size Estimation Framework for Smart Agriculture Applications
Test-Time Adaptation of a Multi-Class Object Localization and Size Estimation Framework for Smart Agriculture Applications
Smart agriculture brings massive amounts of real-time images generated via modern information and communication technology...
New Approach to Crop Disease Classification and Data Security in Smart Agriculture Networks
New Approach to Crop Disease Classification and Data Security in Smart Agriculture Networks
Agriculture is the backbone of the economy which plays a significant role in the economic life cycle. The traditional secu...
Customer-Perceived Value and Social Media Analytics: How Supplier Evaluation Can Benefit from Aspect-Based Sentiment Analysis and Fuzzy Inference
Customer-Perceived Value and Social Media Analytics: How Supplier Evaluation Can Benefit from Aspect-Based Sentiment Analysis and Fuzzy Inference
Understanding customer-perceived value is essential for driving strategic supplier development and operational excellence ...
Event-Triggered Optimized Control for Nonlinear Multiagent Systems via Reinforcement Learning Strategy
Event-Triggered Optimized Control for Nonlinear Multiagent Systems via Reinforcement Learning Strategy
This paper focuses on the event-triggered optimal control issue for a class of nonlinear strict-feedback multiagent system...
Reinforcement Learning for Human-AI Collaboration: Challenges, Mechanisms, and Methods
Reinforcement Learning for Human-AI Collaboration: Challenges, Mechanisms, and Methods
Reinforcement Learning (RL) has significantly advanced the research topic of human-Artificial-Intelligence (AI) collaborat...
Multiple Local-Global Correlation-Based Deep Neural Network with Selective Kernel Attention for Bearing Fault Diagnosis
Multiple Local-Global Correlation-Based Deep Neural Network with Selective Kernel Attention for Bearing Fault Diagnosis
Few-shot learning-based deep neural networks have emerged as a promising solution for bearing fault diagnosis, particularl...
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