General-Science
Simulated Self-Assessment in Large Language Models: A Psychometric Approach to AI Self-Efficacy
Soft Adaptive Policy Optimization
The Text Aphasia Battery (TAB): A Clinically-Grounded Benchmark for Aphasia-Like Deficits in Language Models
Towards Benign Memory Forgetting for Selective Multimodal Large Language Model Unlearning
Universe of Thoughts: Enabling Creative Reasoning with Large Language Models
VibraVerse: A Large-Scale Geometry-Acoustics Alignment Dataset for Physically-Consistent Multimodal Learning
A Brief History of Digital Twin Technology
An Anatomy Aware Hybrid Deep Learning Framework for Lung Cancer Tumor Stage Classification
DDTime: Dataset Distillation with Spectral Alignment and Information Bottleneck for Time-Series Forecasting
Deep Hybrid Model for Region of Interest Detection in Omnidirectional Videos
Detecting and Steering LLMs' Empathy in Action
GContextFormer: A global context-aware hybrid multi-head attention approach with scaled additive aggregation for multimodal trajectory prediction
KOM: A Multi-Agent Artificial Intelligence System for Precision Management of Knee Osteoarthritis (KOA)
Mixture of Horizons in Action Chunking
OmniGround: A Comprehensive Spatio-Temporal Grounding Benchmark for Real-World Complex Scenarios
On the Appropriateness of Linear Stress Recovery in Biomechanical Analysis of Abdominal Aortic Aneurysm
Online Sparse Feature Selection in Data Streams via Differential Evolution
Paraconsistent-Lib: an intuitive PAL2v algorithm Python Library
PepEVOLVE: Position-Aware Dynamic Peptide Optimization via Group-Relative Advantage
Physics-informed Neural Operator Learning for Nonlinear Grad-Shafranov Equation
Prompt Fencing: A Cryptographic Approach to Establishing Security Boundaries in Large Language Model Prompts
Scaling Item-to-Standard Alignment with Large Language Models: Accuracy, Limits, and Solutions