Asli Celikyilmaz

Asli Celikyilmaz

Senior Research Manager
Fundamentals AI Research (FAIR) @ Meta


Research Interests:

My primary research interests are in the fields of Artificial Intelligence, Natural Language Processing, Machine Learning, with broader interests in Human Computer Interaction. My research centers on building natural language agents enriched with advanced capabilities to memorize, learn and reason about social and physical world. Specifically, my research interests can be grouped into:
  • Neural Language Generation: Modeling the long-term context (e.g., modeling of language context, physical environments, etc.); tracking and simulating the world represented in a story or a narrative; teaching agents to learn to write coherently; predicting mental states in narrative by stateful language modeling.
  • Language Grounding with Knowledge and Reasoning: Learning semantic correspondences between language and multimodal knowledge (graphs, tables, image, video) for applications such as multimodal summarization, image captioning, and knowledge, neuro-symbolic and logical reasoning.
  • Evaluation of Large Language Models: My research aims to scrutinize the capabilities and limitations of large language models, particularly their factual accuracy, semantic coherence, and transparency. A central part of my research involves developing new evaluation metrics and methods that can precisely gauge the performance and potential bias inherent in these large models. I am particularly interested in deciphering the interpretability of these models by probing their internal mechanisms and decision-making processes.
  • Language Grounding and Conversational AI: Learning semantic correspondences between language help users in their daily activities by learning from their environments; enriching agents with coherent conversational copabilities by teaching language understanding and response generation.
  • Multimodal Language Modeling and Reasoning: My research focuses on integrating diverse data modalities (e.g., text, image, audio, and spatial data) into language models to enhance their understanding and reasoning abilities. My work investigates spatial-temporal language grounding, understanding semantic interplay among modalities, and the development of advanced multimodal reasoning systems.

Selected Invited Talks and Tutorials:

Full List of Publications:

Recent Preprints:

Peer-Reviewed Publications:


Asli Celikyilmaz is a Senior Research Manager at Fundmendals AI Research (FAIR). Formerly, she was Senior Principal Researcher at Microsoft Research (MSR) in Redmond, Washington. She is also an Affiliate Associate Member at the University of Washington. She has received Ph.D. Degree in Information Science from University of Toronto, Canada, and later continued her Postdoc study at Computer Science Department of the University of California, Berkeley. Her research interests are mainly in deep learning and natural language, specifically on language generation with long-term coherence, language understanding, language grounding with vision, and building intelligent agents for human-computer interaction She is serving on the editorial boards of Transactions of the ACL (TACL) as area editor and Open Journal of Signal Processing (OJSP) as Associate Editor. She has received several “best of” awards including NAFIPS 2007, Semantic Computing 2009, and CVPR 2019.

Work Experience:

    2021-Present Senior Research Manager, Fundamentals AI Research (FAIR) at META, Seattle, WA
    2018-Present Affiliate Associate Member at the Paul G. Allen School University of Washington, Seattle, WA
    2010-2021 Senior Principal Researcher, Microsoft Research, Redmond, WA
    2008-2010 Post-Doctorate Research, Computer Science, University of California, Berkeley, CA
    2005-2008 Doctor of Philosopy, Engineering, University of Toronto
    2003-2005 Master of applied Science, Engineering, University of Toronto


    2017 Lecture on Generative Adversarial Networks at the AI School at MSR AI
    2017 Lecture on Deep Learning for Interactive Systems at the AI School at MSR AI
    2007 Lecture on Knowledge Modeling and Management, Univ. of Toronto
    2006 Lecture on Data Modeling, University of Toronto
    2005 Lecture on Decision Analysis, University of Toronto

Honors and Awards:

    Best Student Paper Award, CVPR 2019
    Best Paper Award, IEEE Int. Conference on Semantic Computing, Berkeley, 2009
    Postdoctoral Fellowship from British Telecom University of California, Berkeley, 2008-2010
    NSERC (Natural Sci. and Eng. Research Council of Canada), Postdoc Fellowship (PDF), 2008-2010
    NSERC (Natural Sci. and Eng. Research Council, Graduate Scholarships), PGSD2, 2007-2009
    OGS-Ontario Graduate Scholarships in Science and Technology, Ph.D., 2007-2008
    Ph.D. Fellowship, University of Toronto, 2005-2008


    Organizing workshop at at ICML 2021 on Self-Supervised Learning for Reasoning and Perception
    Organizing workshop at Nerual Conversational AI at ICLR 2021 on safety, integrity, continual learning, and so much more!
    Panel Chair for IEEE SLT 2021
    Organized ALVR2020: Advances in Language and Vision Research Workshop at ACL 2020
    Organized NLP4CONVAI: NLP for Conversational AI Workshop at ACL 2020
    Organized 3rd Conversational AI Workshop at NeurIPS 2019
    Organized Neuralgen Workshop at NAACL 2019
    Other academic service:
        EMNLP 2022 Workshop Co-Chair
        ACL 2022 Senoir Area Chair of Generation Track
        SIGDIAL 2021 Senoir Area Chair
        ACL 2021 Area Chair for Dialog Track
        NAACL 2021 Senior Area Chair for Generation Track
        ACL 2020 Demo Chair
        Associate Editor for IEEE ODSP,
        Area Editor for Transactions of ACL (TACL),
        Editor for AI Magazine: AAAI Special Issue on Conversational AI,
        PC member for ACL, EMNLP, NAACL, NIPS, CoNLL, ConvAI.