Tech Xplore

Emoticons can confuse LLMs, causing 'silent failures' in coding responses

Large language models (LLMs), artificial intelligence (AI) systems that can process and generate texts in various languages, ...
Stark Insider

When the Summit Was Already Over: Third Mind Field Notes, Part III

Field notes from our human-AI collaboration summit: the 70/30 problem, why agents don't push back, and AI's role as catalyst ...
IEEE

A Hybrid Feature Extraction and Classification Framework for Depression Detection using Deep Learning and Machine Learning Techniques

Abstract: Depression is most common mental disorder that is affecting approximately 280 million individuals in the world. The stigma and lack of acceptance and awareness is still influencing people ...
GitHub

Tree-Shu-Zhao/ITQ_PyTorch

usage: run.py [-h] [--dataset DATASET] [--root ROOT] [--code-length CODE_LENGTH] [--max-iter MAX_ITER] [--topk TOPK] [--gpu GPU] ITQ_PyTorch optional arguments: -h ...
GitHub

[ICCV 2025] D³QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection

Integrates dynamic codebook frequency statistics into a transformer attention module. Fuses semantic image features with latent representations of quantization ...
IEEE

EQCNN: Enhanced Remote Sensing Imagery Classification with Circuit-Based Error-Corrected Quantum Convolutional Neural Networks

Abstract: Quantum information processing is more complex than classical counterpart because of the No-Cloning theorem, decoherence, and issues detecting quantum ...