Larry P. Heck

Georgia Institute of Technology


Larry P. Heck is Executive Director of the Artificial Intelligence Hub and the Machine Learning Center and a Professor with a joint appointment in ECE and Interactive Computing at the Georgia Institute of Technology. He holds the Rhesa S. Farmer Distinguished Chair of Advanced Computing Concepts and is a Georgia Research Alliance Eminent Scholar. His received the BSEE from Texas Tech University (1986), and MSEE and PhD EE from the Georgia Institute of Technology (1989,1991). He is a Fellow of the IEEE, inducted into the Academy of Distinguished Engineering Alumni at Georgia Tech and received the Distinguished Engineer Award from the Texas Tech University Whitacre College of Engineering. He was a Senior Research Engineer with SRI (1992-98), Vice President of R&D at Nuance (1998-2005), Vice President of Search and Advertising Sciences at Yahoo! (2005-2009), Chief Scientist of the Microsoft Speech products and Distinguished Engineer in Microsoft Research (2009-2014), Principal Scientist with Google Research (2014-2017), and CEO of Viv Labs and Senior Vice President at Samsung (2017-2021). His research interests are on next-generation Virtual Assistants, Conversational AI including Large Language Models (LLMs) and Response Generation, and Natural Language and Speech Processing with the long-term goal of creating an autonomous digital human that can freely communicate with humans in open, mixed-reality domains.

highlighted publications

  1. CSCW ’23
    "I don’t know how to help with that"-Learning from Limitations of Modern Conversational Agent Systems in Caregiving Networks
    Zubatiy, T, Mathur, N, Heck, L, Vickers, KL, Rozga, A, and Mynatt, ED
    Proceedings of the ACM on Human-Computer Interaction (CSCW) 2023
  2. SIGDIAL ’23
    Syndicom: Improving Conversational Commonsense with Error-Injection and Natural Language Feedback
    Richardson, Christopher, Sundar, Anirudh S., and Heck, Larry
    Proceedings of SIGDIAL (Special Interest Group on Discourse and Dialogue) 2023
  3. ICCV ’23
    Cross-Modal Dense Passage Retrieval for Outside Knowledge Visual Question Answering
    Reichman, Benjamin, and Heck, Larry
    Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops 2023
  4. ACL ’23
    cTBLS: Augmenting Large Language Models for Conversational Tables
    Sundar, Anirudh, and Heck, Larry
    5th Workshop on NLP for Conversational AI, Association for Computational Linguistics (ACL) 2023
  5. ICASSP ’23
    Outside Knowledge Visual Question Answering Version 2.0
    Reichman, Benjamin Z., Sundar, Anirudh, Richardson, Christopher, Zubatiy, Tamara, Chowdhury, Prithwijit, Shah, Aaryan, Truxal, Jack, Grimes, Micah, Shah, Dristi, Chee, Woo Ju, Punjwani, Saif, Jain, Atishay, and Heck, Larry
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2023
  6. AAAI ’23
    Commonsense Reasoning for Conversational AI: A Survey of the State of the Art
    Richardson, Christopher, and Heck, Larry
    Workshop on Knowledge Augmented Methods for NLP (KnowledgeNLP-AAAI’23) 2023
  7. ACL ’22
    Multimodal Conversational AI: A Survey of Datasets and Approaches
    Sundar, Anirudh, and Heck, Larry
    Proceedings of the 4th Workshop on NLP for Conversational AI, Association for Computational Linguistics (ACL) 2022