Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Gupta, Varuna; Chakravarti, Lakshay; Akhtar, Md Moin; Maheshwari, Prem; Garg, Puneet; Tiwari, Dimple Title A name given to the resource A Sentence-Level Risk Estimator for Identifying Hallucinations in Generative AI Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Proceedings of the 2026 International Conference on AI-Driven Smart Systems and Ubiquitous Computing, ICAUC 2026;pp.1619-1626 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICAUC68182.2026.11441054" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAUC68182.2026.11441054</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105037460025?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037460025?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gupta V., Christ University, Bengaluru, 560029, India; Chakravarti L., Vivekananda Institute of Professional Studies, School of Engineering &amp; Technology, Technical Campus, Delhi, 110034, India; Akhtar M.M., Vivekananda Institute of Professional Studies, School of Engineering &amp; Technology, Technical Campus, Delhi, 110034, India; Maheshwari P., Vivekananda Institute of Professional Studies, School of Engineering &amp; Technology, Technical Campus, Delhi, 110034, India; Garg P., Kiet Group of Institutions, Ghaziabad, India; Tiwari D., Vivekananda Institute of Professional Studies, School of Engineering &amp; Technology, Technical Campus, Delhi, 110034, India Description An account of the resource Hallucination, defined as the generation of factually incorrect or ungrounded content, represents a critical challenge in large language models and summarization systems. Existing evaluation metrics often operate at the document level and fail to pinpoint erroneous sentences with sufficient granularity. This work introduces Sentence-Level Risk Estimation (SRE), a unified framework for detecting hallucinations at fine granularity by integrating three complementary signals: semantic alignment using BERT-based embedding similarity, QA-based factuality verification through question-answer pair generation and validation, and Natural Language Inference (NLI) entailment assessment using pre-trained models such as DeBERTa-MNLI. These signals are aggregated into a unified Sentence Risk Score (SRS) via weighted calibration. Experimental evaluation on CNN/DailyMail and XSum datasets demonstrates that the proposed method achieves precision of 0.85, recall of 0.75, F1-score of 0.80, and correlation with human judgments of 0.85, representing substantial improvements over existing approaches including FactCC, QAGS, and SummaC. The proposed framework enables AI systems to flag risky sentences for review or regeneration, thereby improving trust and safety in generative applications. 2026 IEEE. Subject The topic of the resource factuality evaluation; Hallucination detection; large language models; natural language inference; question answering; sentence-level risk estimation Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833155851-2; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online