Research

Publications

        Benchmark data repositories for better benchmarking
        Rachel Longjohn*, Markelle Kelly*, Sameer Singh, and Padhraic Smyth.
        NeurIPS Datasets and Benchmarks, 2024.
        OpenReview Arxiv

        Likelihood ratios for changepoints in categorical count data with applications in digital forensics
        Rachel Longjohn and Padhraic Smyth.
        Journal of Forensic Sciences, 2024.
        PDF

        Likelihood ratios for categorical count data with applications in digital forensics
        Rachel Longjohn, Padhraic Smyth, and Hal S. Stern
        Law, Probability, and Risk, 2022.
        PDF

Conference Presentations

        Statistical uncertainty quantification for aggregate task-performance metrics in ML benchmarks
        Rachel Longjohn*, Giri Gopalan*, and Emily Casleton
        NeurIPS Workshop on Statistical Frontiers in LLMs and Foundation Models, 2024.
        PDF

        Score-based Likelihood Ratios Using Stylometric Text Embeddings
        Rachel Longjohn, Kai Nelson, and Padhraic Smyth
        Joint Statistical Meetings, 2024.
        Abstract

        Statistical approaches for testing and evaluating foundation models
        Giri Gopalan, Emily Casleton, Olivier Binette, and Rachel Longjohn
        Fall Technical Conference: Harmonizing Quality, Statistics, and Data Science, 2023.
        Abstract

        Bayes factors for the existence of changepoints in categorial sequences within digital forensics
        Rachel Longjohn and Padhraic Smyth
        Joint Statistical Meetings, 2023.

        A likelihood ratio approach for detecting behavioral changes in device usage over time
        Rachel Longjohn and Padhraic Smyth
        Annual Meeting of the American Academy of Forensic Sciences, 2023.
        Abstract Interactive poster

        Likelihood ratios for categorical evidence with applications to digital forensics
        Rachel Longjohn and Padhraic Smyth
        Joint Statistical Meetings, 2022.

        Likelihood ratios for categorical evidence with applications in digital evidence
        Rachel Longjohn, Padhraic Smyth, and Hal S. Stern
        Annual Meeting of the American Academy of Forensic Sciences, 2022.
        Abstract

Webinars

        Tutorial on Likelihood Ratios with Applications in Digital Forensics
        Rachel Longjohn and Padhraic Smyth
        Center for Statistics and Applications in Forensic Evidence (CSAFE) Summer Webinar Series, 2022.
        Recording