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
Routing with generated data
A setting in which routers are trained on generated queries and answers produced from high-level task descriptions. (ACL)
CommonLID: Re-evaluating language identification performance
A community-driven, human-annotated LID benchmark for the web domain, covering 109 languages. (ACL)
Macaron: Controlled, human-written benchmark
A template-first benchmark that factorizes reasoning type and cultural aspect across question languages. (ACL)
M4-RAG: A massive-scale multilingual multi-cultural multimodal RAG
A massive-scale benchmark for evaluating retrieval-augmented VQA across languages and modalities.
Vision Language Models are confused tourists
A novel cultural adversarial robustness suite designed to assess VLMs’ stability against perturbed geographical cues.
Uncertainty as feature gaps: epistemic uncertainty quantification of LLMs in contextual question answering
An uncertainty measure defined as the cross-entropy between predictive distribution and unknown true distribution.
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Latest blogs
Latest blogs
UVA School of Engineering: Capital One Fellows 2026-2027
UVA School of Engineering: Capital One Fellows 2026-2027
June 4, 2026
Insights from the inaugural Capital One AI Symposium
Advancing the state of the art through multi-sector partnerships.
Capital One Science | April 23, 2026
NLP research foundations at ICLR 2026
Explore our latest research in LLM alignment, uncertainty quantification and privacy-preserving synthetic data in Rio de Janeiro.
Capital One Science | April 20, 2026
Highlights from NVIDIA GTC AI Conference 2026
Showcasing the transformative power of agentic AI in real-time customer workflows.
Capital One Science | April 8, 2026
Capital One and UMD host agentic systems workshop
Capital One and UMD bring together researchers and industry leaders to explore agentic AI systems and real world applications.
Capital One Science | April 2, 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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