Advancing the frontier of AI and scientific discovery in finance.
Explore research, publications and open-source contributions from Capital One's scientists and engineers.
Latest publications
RECAP: Regression evaluation for continual adaptation of prompts
A benchmark that measures continual-learning phenomena at the constraint level for prompt-level adaptation methods.
MEMGUARD: Preventing memory contamination in long-term memory-augmented large language models
A type-aware memory framework that preserves functional memory boundaries during memory construction and retrieval.
A history-aware visually grounded critic for computer use agents
A test time intervention framework for long-horizon GUI agents.
SPARC-RAG: Adaptive Sequential–Parallel Scaling with Context Management for Retrieval-Augmented Generation
A multi-agent framework that coordinates sequential and parallel inference-time scaling.
Validity-aware jailbreak evaluation for large language models
A jailbreak evaluation framework that decomposes responses into ordered steps and evaluates both validity and correctness.
AREAs-Lab: An interactive environment for AI-driven requirement elicitation for AI systems
An interactive environment for AI-driven Requirement Elicitation for AI systems.
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Latest blogs
Latest blogs
Highlights from MLSys 2026
Capital One’s AI research team recaps MLSys 2026, including optimizing serving LLMs, RAG and agentic AI.
August 7, 2026
Announcing Capital One's 2026 UIUC AI Awardees
Meet the University of Illinois researchers and fellows advancing Agentic AI through our academic partnership.
Capital One Science | July 8, 2026
LLM reasoning and agentic safety at ICML 2026
Explore our latest research in critique-guided distillation and multi-turn agent uncertainty in Seoul.
Capital One Science | July 1, 2026
Capital One at ACL 2026
Discover how Capital One is advancing state-of-the-art AI/ML science through collaborative natural language processing research.
Capital One Science | June 30, 2026
UVA School of Engineering: Capital One Fellows 2026-2027
Capital One and the University of Virginia celebrate the 2026-2027 engineering fellowship awardees
Capital One Science | June 4, 2026
“We are committed to advancing partnerships between industry, academia, and government to strengthen our national capabilities in AI while ensuring a broad range of expertise and perspectives when developing, testing and deploying cutting-edge AI solutions.”
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