PinnedThe Symphony of Investment: Unveiling the Nexus of Causal Factor Investing and Large Language…AbstractOct 1Oct 1
The Pitfalls of Standard Cross-Validation in Financial Machine LearningOne of the core objectives of machine learning (ML) is to learn the general structure of data, enabling models to make predictions on…4d ago4d ago
Recent Advances in Medical Language and Vision-Language Models: An Analytical PerspectiveAdvancements in autoregressive large language models (LLMs) and vision-language models (VLMs) have sparked significant interest among…4d ago4d ago
Beyond Pre-Training: Understanding the Power Law Dynamics in LLM Post-TrainingThe field of AI has long been intrigued by the relationship between the volume of training data and model performance. Recent research has…Nov 9Nov 9
Methodological Foundation and Basic FrameworkThe article presents a fundamentally sound approach to customer segmentation in the credit card industry using K-means clustering. The…Nov 5Nov 5
<svg viewBox=”0 0 800 600" xmlns=”http://www.w3.org/2000/svg"><! — Central India Icon → <circle cx=”400" cy=”300" r=”120" fill=”#4CAF50" opacity=”0.1"/> <text x=”400" y=”300" text-anchor=”middle”…Nov 5Nov 5
“Navigating the Stiglitz Syndrome: Intellectual Accountability in Economic Predictions”- “Exploring…In “Antifragile,” Nassim Nicholas Taleb introduces the provocative concept of “Stiglitz Syndrome,” a term he uses to critique a particular…Oct 31Oct 31
Performance Evaluation of k-Sample Testing and Clustering Algorithm for Admixture Models: A…The study explores the performance of a k-sample testing procedure and clustering algorithm using the R package admix2, which is…Oct 26Oct 26
Theory of Mind in Psychology and AI: From Developmental Studies to Large Language ModelsTheory of Mind (ToM), the ability to attribute mental states to oneself and others and understand that these mental states can differ from…Oct 26Oct 26
Enhancing the Efficiency of Transformer-Based Large Language Models Through Pruning Strategies…AbstractOct 25Oct 25
