Publications

Foundational research advancing the state of the art in AI.

Capital One’s Applied AI research

publications

M4-RAG: A multimodal RAG

A massive-scale benchmark for evaluating retrieval-augmented VQA across languages and modalities. (CVPR)

publications

VLMs are confused tourists

A novel cultural adversarial robustness suite designed to assess VLMs’ stability against perturbed geographical cues. (CVPR)

publications

Uncertainty as feature gaps

An uncertainty measure defined as the cross-entropy between predictive distribution and unknown true distribution. (ICLR)

publications

MR3: Multilingual rubric-agnostic reward reasoning models

A multilingual, rubric-agnostic reward reasoning model achieving the broadest language coverage in reward modeling to date. (ICLR)

publications

DynaGuard: A dynamic guardian model

A suite of dynamic guardian models offering novel flexibility by evaluating text based on user-defined policies. (ICLR)

publications

EPSVec: Efficient and Private Synthetic Data Generation

A private text generation method that steers LLM generation using dataset vectors. (ICLR)

publications

BioTamperNet: Affinity-guided state-space model

A framework for detecting duplicated regions in tampered biomedical images, leveraging affinity-guided attention. (ICLR)

publications

Alignment-weighted DPO

A DPO that targets the most problematic parts of an output by assigning different preference weights. (ICLR)

publications

Zero-shot multivariate time series forecasting

A framework for multivariate time series forecasting using tabular foundation models. (ICLR)