3 Subtle Ways Data Leakage Can Ruin Your Models (and How to Prevent It)
Data leakage is an often accidental problem that may happen in machine learning modeling.
Category: Machine Learning
Chain-of-Sketch: Enabling Global Visual Reasoning
Modern vision models have achieved remarkable success in benchmarks where local features provide critical information…
Multi-View Causal Discovery without Non-Gaussianity: Identifiability and Algorithms
Causal discovery is a difficult problem that typically relies on strong assumptions on the data-generating…
Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling
Standard discrete diffusion models treat all unobserved states identically by mapping them to an absorbing…
Learn more about AI in the workplace in our new research report.
A new global survey of executives, decision makers and knowledge workers reveals that organizations truly…
Software 2.0 Means Verifiable AI
Quantum computing (QC) and AI have one thing in common: They make mistakes. There are…
Reinforcement Learning Integrated Agentic RAG for Software Test Cases Authoring
This paper introduces a framework that integrates reinforcement learning (RL) with autonomous agents to enable…
Semantic Mastery: Enhancing LLMs with Advanced Natural Language Understanding
Large language models (LLMs) have greatly improved their capability in performing NLP tasks. However, deeper…