arXiv:2609.19022v1 Announce Type: cross Abstract: Candidate-based decoding typically selects a completion for each prompt independently, but many…
Category: AI
WordPolo: Evaluating Language Models Through Iterative Semantic Feedback
arXiv:2609.19006v1 Announce Type: cross Abstract: Large Language Models (LLMs) and Large Reasoning Models (LRMs) are typically evaluated on challenging…
BadQubits: An LLM-Based Framework for Static Pre-Execution Detection of Structurally Harmful Quantum Circuits
arXiv:2609.18965v1 Announce Type: cross Abstract: This paper presents BadQubits, an LLM-based framework for static pre-execution detection of structurally…
Estimators in Scikit-LLM: A KDnuggets Cheat Sheet
Scikit-LLM wraps language models in the scikit-learn estimator API, so it drops into a Pipeline or a cross-validation loop natively.
StableEval Arena: A Cost-Aware Agentic Benchmark for Stablecoin Price Stability Prediction
arXiv:2609.18949v1 Announce Type: cross Abstract: We introduce StableEval Arena, a cost-aware benchmark framework for evaluating agentic AI systems on…
The FAA’s plan to fix air traffic? $875 million worth of AI
A new AI-based software program is being launched to help air traffic controllers better navigate their jobs as the crossing guards of America’s skies.
Transcribe, Then Reason: Two-Pass Decomposition for Multimodal Review
arXiv:2609.18958v1 Announce Type: cross Abstract: The natural way to review a long recording or document with a multimodal model is to hand it the raw…
Microsoft AI CEO criticises Anthropic over model ‘rights’
Microsoft AI CEO Mustafa Suleyman warned that Anthropic risks AI alignment failures by training Claude to view itself as a conscious entity deserving of…
Automated Dental Caries Segmentation in Panoramic Radiographs Using Dual-Stage Deep Learning
arXiv:2609.18952v1 Announce Type: cross Abstract: Early detection of dental caries remains challenging due to limitations in traditional diagnostic…
NeuroECG: ECGFounder-Based Deep ECG Representation for EEG-Free Neurological Prognostication After Cardiac Arrest
arXiv:2609.18891v1 Announce Type: cross Abstract: Neurological prognostication after cardiac arrest commonly relies on electroencephalography (EEG).…