Capital One Tech

We use real-time data at scale, AI and machine learning and the power of the cloud to solve challenging industry problems.

[Capital One Tech @CapitalOneTech]

Read the full paper for details on our multi-agentic reflection process and benchmark performance gains: https://t.co/LNPVYAP2wq

[Capital One Tech @CapitalOneTech]

Harmful text classifiers often fail due to scarce, uniform training data. We introduced GRAID, a two-stage pipeline using geometric controls and multi-agentic reflection to surface critical edge cases. This approach delivers reliable input coverage, driving significant accuracy gains on safety benchmarks.

[Capital One Tech @CapitalOneTech]

@Columbia @UofIllinois @UVA @USC Get the details about our Fellows on the Capital One Science blog: https://t.co/YrEVj8LC9u

[Capital One Tech @CapitalOneTech]

Meet the 2026–2027 Capital One Fellows advancing doctoral research in AI, machine learning and data science through multi-sector collaboration.

Fellows include students from @Columbia, @UofIllinois, @UVA and @USC.

[Capital One Tech @CapitalOneTech]

Read the full deep dive by Distinguished Engineer Vikram Mohanagandhi on the Capital One Tech blog: https://t.co/v0DpQ2TMky

[Capital One Tech @CapitalOneTech]

AI models excel at pattern recognition, but business-critical financial metrics demand 100% verifiable accuracy.

Learn how a hybrid architecture pairs probabilistic AI discovery with deterministic code to keep core metrics unassailable.

[Capital One Tech @CapitalOneTech]

@Columbia Check out the blog to see this year’s CAIRFI awardees: https://t.co/ixEsbheIgi

[Capital One Tech @CapitalOneTech]

Our collaboration with @Columbia continues to advance responsible AI in financial services. See this year’s winning faculty proposals across key research pillars.

[Capital One Tech @CapitalOneTech]

@UMontreal @Mila_Quebec @Concordia @UChicago Explore our findings on router load balancing, sample efficiency and cost-effective model updates in the full paper: https://t.co/gI0ULiK4D6

[Capital One Tech @CapitalOneTech]

Does continual pre-training degrade MoE routing? We partnered with researchers from @umontreal, @Mila_Quebec, @Concordia and @UChicago to evaluate router robustness across 600B tokens, finding stability under distribution shifts.

[Capital One Tech @CapitalOneTech]

@Evident_HQ Read more about the Evident AI Index: https://t.co/taMo5mfKPK

[Capital One Tech @CapitalOneTech]

We’re using proprietary data and analytics to drive responsible scientific invention that helps improve the financial lives of millions of customers. That’s why @Evident_HQ, just named Capital One the number 1 bank in both AI talent and innovation based on the new 2026 AI Index.

[Capital One Tech @CapitalOneTech]

@Evident_HQ Find out more about AI at Capital One: https://t.co/DaPGluLp4z

[Capital One Tech @CapitalOneTech]

@UofMaryland Read the full paper to explore the refusal token framework and generation steering methods: https://t.co/FfPGjJU7I4

[Capital One Tech @CapitalOneTech]

Capital One researchers collaborated with @UofMaryland to simplify LLM refusal calibration. Prepending refusal tokens during training lets teams steer refusal rates at inference across categories without fine-tuning.

[Capital One Tech @CapitalOneTech]

Read the full paper to see how RAFFLES diagnoses step-level errors across multi-agent and mathematical reasoning benchmarks: https://t.co/Bhne5rhuKM

[Capital One Tech @CapitalOneTech]

Evaluating multi-step LLM systems requires moving beyond end-to-end metrics. Our researchers introduced RAFFLES, an iterative reasoning-based fault attribution framework that uses a central Judge and specialized Evaluators to pinpoint step-level faults in complex AI workflows.

[Capital One Tech @CapitalOneTech]

@Columbia Dive into the full paper for details on the unified objective and benchmark results: https://t.co/TSHEkKabkJ

[Capital One Tech @CapitalOneTech]

While numerous Direct Preference Optimization (DPO) extensions have been introduced, discerning which components drive downstream gains remains tough. We collaborated with researchers from @Columbia to build RainbowPO, a unified framework that categorizes and combines seven key DPO improvements.

[Capital One Tech @CapitalOneTech]

We strongly support the call for collective action on cyber defense. Together, we can make the digital infrastructure we all depend on more secure.

[Greg Brockman @gdb]

An open letter for a global surge in cyber defense, signed by over 100 organizations including Anthropic, AWS, Google, Microsoft, OpenAI, and Oracle. https://t.co/uKXPS8LdAU