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
EPSVec: Efficient and private synthetic data generation via dataset vectors
A differentially-private lightweight alternative that steers LLM generation using dataset vectors.
Critique-guided distillation for robust reasoning via refinement
A training framework that decouples critique consumption from critique generation.
CommonLID: Re-evaluating state-of-the-art language identification performance on web data
A community-driven, human-annotated LID benchmark for the web domain, covering 109 languages.
Routing with generated data: Annotation-free LLM skill estimation and expert selection
A setting in which routers are trained on generated queries and answers produced from high-level task descriptions.
Macaron: Controlled, human-written benchmark for multilingual and multicultural reasoning via template-filling
A template-first benchmark that factorizes reasoning type and cultural aspect across question languages.
Temporal tokenization strategies for event sequence modeling with Large Language Models
A study of temporal tokenization for modeling event sequences with LLMs, comparing distinct encoding strategies.
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Latest blogs
Latest blogs
Announcing Capital One's 2026 UIUC AI Awardees
Meet the University of Illinois researchers and fellows advancing Agentic AI through our academic partnership.
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.
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
Seeing the unseen: The role of anomaly detection in IAM
Uncover hidden signals in data to protect customers, build trust and safeguard identity at scale.
Ranjith Goud Karvanga & Arpan Srivastava | May 26, 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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