AI
Language Models for Portuguese: A Systematic Mapping Study
Researchers have conducted a systematic mapping study on language models developed for the Portugues...
AI
The Deontic Gap: Large Language Models and the Modal Language of Obligation
Researchers have found that large language models (LLMs) tend to use deontic modals like 'must', 'sh...
AI
Entropy-Constrained Adaptive Stochastic Quantization
Researchers have proposed a new method called Entropy-Constrained Adaptive Stochastic Quantization (...
AI
TokenPowerSandbox: Evidence-Gated CPU-First Screening for Energy-Aware LLM Serving
Researchers have developed TokenPowerSandbox, an evidence-gated workflow for energy-aware large lang...
AI
How Quantum Is the Advantage? A Fair, Calibration- and Noise-Aware Benchmark and Attribution Audit of Quantum Machine Learning for Network Intrusion Detection
Researchers have questioned the effectiveness of quantum machine learning (QML) ...
AI
When Do LLMs Actually Help? Evaluating LLMs as Data Quality Annotators
Researchers evaluated the effectiveness of large language models (LLMs) as data ...
AI
Are LLMs Safe Beyond Text: Do Emojis Expose Gaps in Safety Evaluation
Researchers have evaluated the safety of four large language models (LLMs) using...
AI
What Can Artificial Intelligence Learn from Medicine? Generative Analogies and Reliable Machine Learning Systems
Researchers have been exploring the parallels between medicine and artificial in...