19 citations · 40 across the 10 of their papers we have counts for
11 papers
Judging LLM-as-a-Judge: Concerning Rubric Artifacts in LLM-based Automated Text Generation Evaluation
Anshul Bagaria, Sowmya S Sundaram, Gokul S Krishnan +1
LLM-as-a-Judge pipelines are increasingly used to evaluate AI-generated text, based on the assumption that judgments arise from reasoning over candidate responses with respect to a…
KANEx: Translating Kolmogorov-Arnold Networks' Interpretability to Medical Explainability
Krithi Shailya, Ananya Lakshmi Ravi, Venkatanathan K. V. +4
Computer vision models have become highly effective for medical applications, yet their black-box nature continues to undermine clinician trust. In clinical workflows, chest X-ray…
Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization
Sowmya S Sundaram, Rafael S. Gonçalves, Mark A Musen
Scientific metadata often suffer from incompleteness, inconsistency, and formatting errors, which hinder effective discovery and reuse of the associated datasets. We present a meth…
Ensuring Adherence to Standards in Experiment-Related Metadata Entered Via Spreadsheets
Martin J. O'Connor, Josef Hardi, Marcos Martínez-Romero +5
Scientists increasingly recognize the importance of providing rich, standards-adherent metadata to describe their experimental results. Despite the availability of sophisticated to…
Can a Hallucinating Model help in Reducing Human "Hallucination"?
Sowmya S Sundaram, Balaji Alwar
The prevalence of unwarranted beliefs, spanning pseudoscience, logical fallacies, and conspiracy theories, presents substantial societal hurdles and the risk of disseminating misin…
Use of a Structured Knowledge Base Enhances Metadata Curation by Large Language Models
Sowmya S. Sundaram, Benjamin Solomon, Avani Khatri +3
Metadata play a crucial role in ensuring the findability, accessibility, interoperability, and reusability of datasets. This paper investigates the potential of large language mode…