Sanjeev Kumar Karn — accepted AI-conference papers

2025

CVE-LLM: Ontology-Assisted Automatic Vulnerability Evaluation Using Large Language Models

Rikhiya Ghosh, Hans-Martin von Stockhausen, Martin Schmitt, George Marica Vasile, Sanjeev Kumar Karn, Oladimeji Farri

AAAI 2025technical

The National Vulnerability Database (NVD) publishes over a thousand new vulnerabilities monthly, with a projected 25 percent increase in 2024, highlighting the crucial need for rapid vulnerability identification to mitigate cybersecurity attacks and save costs and resources. In this work, we propose…

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2023

RadLing: Towards Efficient Radiology Report Understanding

Rikhiya Ghosh, Oladimeji Farri, Sanjeev Kumar Karn, Manuela Danu, Ramya Vunikili, Larisa Micu

ACL 2023industry

Most natural language tasks in the radiology domain use language models pre-trained on biomedical corpus. There are few pretrained language models trained specifically for radiology, and fewer still that have been trained in a low data setting and gone on to produce comparable results in fine-tuning…

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2022

Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization

Sanjeev Kumar Karn, Ning Liu, Hinrich Schuetze, Oladimeji Farri

ACL 2022long

The IMPRESSIONS section of a radiology report about an imaging study is a summary of the radiologist’s reasoning and conclusions, and it also aids the referring physician in confirming or excluding certain diagnoses. A cascade of tasks are required to automatically generate an abstractive summary of…

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