2025
- K. Echenim and K. P. Joshi, "Automating IoT Data Privacy Compliance by Integrating Knowledge Graphs With Large Language Models", Article, IEEE Access 2025, July 2025, 118 downloads.
- M. Islam, L. Elluri, and K. P. Joshi, "Integrating Knowledge Graphs with Retrieval-Augmented Generation to Automate IoT Device Security Compliance", InProceedings, 2025 IEEE International Conference on Intelligence and Security Informatics (ISI), July 2025, 470 downloads.
- O. Clark and K. P. Joshi, "Real-Time Detection of Online Health Misinformation using an Integrated Knowledgegraph-LLM Approach", InProceedings, IEEE International Conference on Digital Health (ICDH) , 2025 at IEEE World Congress on Services 2025, July 2025, 372 downloads.
- A. Piplai, A. Kotal, S. Mittal, K. P. Joshi, T. Finin, and A. Joshi, "Enhancing Trustworthiness in LLM Generated Code: A Reinforcement Learning and Domain-Knowledge Constrained Approach", TechReport, CodeBot'25 Workshop, February 2025, 109 downloads.
2023
- S. Devare, M. Koupaee, G. Gunapati, S. Ghosh, S. Vallurupalli, Y. K. Lal, F. Ferraro, N. Chambers, G. Durrett, R. Mooney, K. Erk, and N. Balasubramanian, "SAGEViz: SchemA GEneration and Visualization", InProceedings, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, December 2023, 287 downloads.
- P. Ranade and A. Joshi, "FABULA: Intelligence Report Generation Using Retrieval-Augmented Narrative Construction", InProceedings, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, November 2023, 568 downloads.
- M. Gaur, "Targeted Knowledge Infusion To Make Conversational AI Explainable and Safe", Proceedings, AAAI23 New Faculty Highlights, February 2023, 606 downloads.
- K. Roy, M. Gaur, M. Soltani, V. Rawte, and A. Sheth, "ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance", Article, Frontiers in Big Data, January 2023, 269 downloads.
2022
- S. Vallurupalli, S. Ghosh, K. Erk, N. Balasubramanian, and F. Ferraro, "POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events", Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, December 2022, 417 downloads.
- V. Rawte, K. Roy, M. Chakraborty, M. Gaur, K. Faldu, P. Kikani, H. Akbari, and A. Sheth, "TDLR: Top (Semantic)-Down (Syntactic) Language Representation", InProceedings, Attention Workshop, 36th Conference on Neural Information Processing Systems (NeurIPS 2022), November 2022, 355 downloads.
2021
- P. Ranade, A. Piplai, A. Joshi, and T. Finin, "CyBERT: Contextualized Embeddings for the Cybersecurity Domain", InProceedings, IEEE International Conference on Big Data, December 2021, 2226 downloads.
- P. Ranade, A. Piplai, S. Mittal, A. Joshi, and T. Finin, "Generating Fake Cyber Threat Intelligence Using Transformer-Based Models", Proceedings, International Joint Conference on Neural Networks (IJCNN 2021), July 2021, 969 downloads, 110 citations.
2017
- M. M. Rahman and T. Finin, "Deep Understanding of a Document's Structure", InProceedings, 4th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, December 2017, 1580 downloads.
- M. M. Rahman and T. Finin, "Understanding the Logical and Semantic Structure of Large Documents", Article, arXiv e-print, September 2017, 1174 downloads.
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