Tags: language model



  1. A. Padia, F. Ferraro, and T. Finin, "Enhancing Knowledge Graph Consistency through Open Large Language Models: A Case Study", InProceedings, Proceedings of AAAI-MAKE: Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge, March 2024, 136 downloads.


  1. 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, 38 downloads.
  2. M. Gaur, "Targeted Knowledge Infusion To Make Conversational AI Explainable and Safe", Proceedings, AAAI23 New Faculty Highlights, February 2023, 212 downloads.
  3. 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, 65 downloads.


  1. 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, 140 downloads.
  2. 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, 131 downloads.


  1. 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, 1391 downloads.
  2. 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, 616 downloads.


  1. R. Patel and F. Ferraro, "On the Complementary Nature of Knowledge Graph Embedding, Fine Grain Entity Types, and Language Modeling", InProceedings, EMNLP Workshop on Deep Learning Inside Out, November 2020, 303 downloads.


  1. 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, 1201 downloads.
  2. M. M. Rahman and T. Finin, "Understanding the Logical and Semantic Structure of Large Documents", Article, arXiv e-print, September 2017, 928 downloads.


  1. E. Schuster and T. Finin, "VP 2 : the role of user modelling in correcting errors in second language learning", InBook, Artificial Intelligence and its Applications, January 1987, 45 downloads.