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Avni Kothari

3 accepted papers

2026

When the Domain Expert Has No Time and the LLM Developer Has No Clinical Expertise: Real-World Lessons from LLM Co-Design in a Safety-Net Hospital

AAAI 2026technical

Large language models (LLMs) have the potential to address social and behavioral determinants of health by transforming labor intensive workflows in resource-constrained settings. Creating LLM-based applications that serve the needs of underserved communities requires a deep understanding of their l

Cited by 0SourcePDFScholar
2025

Bayesian Concept Bottleneck Models with LLM Priors

NeurIPS 2025poster

Concept Bottleneck Models (CBMs) have been proposed as a compromise between white-box and black-box models, aiming to achieve interpretability without sacrificing accuracy. The standard training procedure for CBMs is to predefine a candidate set of human-interpretable concepts, extract their values…

Cited by 0SourcecodeScholar
2024

Prediction without Preclusion: Recourse Verification with Reachable Sets

ICLR 2024spotlight

Machine learning models are often used to decide who receives a loan, a job interview, or a public benefit. Models in such settings use features without considering their *actionability*. As a result, they can assign predictions that are \emph{fixed} -- meaning that individuals who are denied loans…