The Mathematics Search Engine

45+ min ago   (583+ words) Large language models generate fluent text. They fail to meet grounding, traceability, freshness, and access control requirements. Retrieval-Augmented Generation addresses this by forcing models to answer using external evidence. Early RAG used one simple pipeline. Production systems now use multiple…...

51+ min ago   (873+ words) Researchers have developed a new learning method, Selective Adaptive Learning, which improves the performance and scalability of artificial neural networks by mimicking the brain's ability to focus on specific parameter regions during training, achieving competitive accuracy even in very large…...

1+ hour, 3+ min ago   (831+ words) Researchers have mathematically demonstrated that neural networks can learn equivariant structures during training, revealing a link between overall input-output symmetry and layer-by-layer symmetry under specific, identifiable parameter conditions. https://quantumzeitgeist.com/wp-content/uploads/Image_fx-35-18.jpg Researchers have long observed that neural networks trained on equivariant data…...

1+ hour, 8+ min ago   (804+ words) Researchers have developed representation holonomy, a new method for assessing the geometric structure of machine learning models by measuring how features change along input variations, revealing hidden vulnerabilities to disruption and offering a more nuanced understanding of model robustness than…...

1+ hour, 27+ min ago   (804+ words) Researchers have developed a new machine learning model, TabClustPFN, capable of accurately grouping tabular data without prior training or manual adjustments by learning from a broad range of synthetic datasets and inferring both cluster assignments and the optimal number of…...

1+ hour, 52+ min ago   (1095+ words) Researchers have developed a new unlearning technique, DUET, which efficiently removes unwanted information from large language models by distilling knowledge from a specially guided "teacher" model, thereby improving both accuracy and retention of useful information with significantly less data than…...

1+ hour, 58+ min ago   (124+ words) Underscores the urgency of reorienting India's skilling ecosystem toward adaptability and AI-driven learning. Prof. Saurabh Mittal, Chair Executive, FORE School of Management, New Delhi "The... Underscores the urgency of reorienting India's skilling ecosystem toward adaptability and AI-driven learning Saurabh Mittal,…...

2+ hour, 17+ min ago   (145+ words) There's a paper empirically measuring this that not many people here seem to have read. Ashkinaze et al. created training data where moral values were confounded with surface features. Kindness always expressed formally, fairness always expressed casually. Then they broke…...

2+ hour, 48+ min ago   (785+ words) Researchers have developed a practical, iterative testing workflow and a tiered evaluation suite to reliably assess the performance of large language models, revealing that improvements in one area can inadvertently diminish accuracy in others, necessitating careful calibration of claims rather…...

2+ hour, 48+ min ago   (1097+ words) In the evolving landscape of artificial intelligence, one of the most profound challenges faced by researchers and developers alike is the selection and optimization of features for machine learning algorithms. The ability to identify which attributes most significantly influence outcomes…...