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Elinor G. Poole-Dayan*, Daniel T. Kessler*, Margaret Hughes, Emily S. Lin, Marshall Ganz and Deb Roy. 2025. LLMs for Public Narrative Understanding. To be Presented at The 7th Workshop on Narrative Understanding, Albuquerque, New Mexico, USA. Association for Computational Linguistics.

Baradari, Dünya, Nataliya Kosmyna, Oscar Petrov, Rebecah Kaplun, and Pattie Maes. 2025. “NeuroChat: A Neuroadaptive AI Chatbot for Customizing Learning Experiences.” arXiv [Cs.HC]. arXiv. http://arxiv.org/abs/2503.07599.

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Manuel Cherep*, Nikhil Singh*, and Pattie Maes. "Superficial Alignment, Subtle Divergence, and Nudge Sensitivity in LLM Decision-Making." NeurIPS 2024 Workshop on Behavioral Machine Learning.

Luke Mo*, Manuel Cherep*, Nikhil Singh*, Quinn Langford, and Pattie Maes. Articulatory Synthesis of Speech and Diverse Vocal Sounds via Optimization. In Audio Imagination: NeurIPS 2024 Workshop AI-Driven Speech, Music, and Sound Generation.

Blanchard, Lancelot*, Perry Naseck*, Eran Egozy, and Joseph A. Paradiso. 2024. “Developing Symbiotic Virtuosity: AI-Augmented Musical Instruments and Their Use in Live Music Performances.” An MIT Exploration of Generative AI, September. https://doi.org/10.21428/e4baedd9.69c11de7.

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Chan, S., Pataranutaporn, P., Suri, A., Zulfikar, W., Maes, P., & Loftus, E. F. (2024). Conversational AI Powered by Large Language Models Amplifies False Memories in Witness Interviews. arXiv preprint arXiv:2408.04681.

Hang Jiang, Xiajie Zhang, Robert Mahari, Daniel Kessler, Eric Ma, Tal August, Irene Li, Alex Pentland, Yoon Kim, Deb Roy, and Jad Kabbara. 2024. Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 7194–7219, Bangkok, Thailand.

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Wazeer Deen Zulfikar, Samantha Chan, and Pattie Maes. 2024. Memoro: Using Large Language Models to Realize a Concise Interface for Real-Time Memory Augmentation. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24). Association for Computing Machinery, New York, NY, USA, Article 450, 1–18. https://doi.org/10.1145/3613904.3642450

Joanne Leong, Pat Pataranutaporn, Valdemar Danry, Florian Perteneder, Yaoli Mao, and Pattie Maes. 2024. Putting Things into Context: Generative AI-Enabled Context Personalization for Vocabulary Learning Improves Learning Motivation. In CHI'24. May 11-16, 2024, Honolulu, HI, USA. ACM, New York NY, USA, 15 pages. https://doi.org/10.1145/3544548.3581039

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Contrastive Learning of Electrodermal Activity Representations for Stress Detection; Matton, K*, Lewis, R*, Guttag, J, Picard, R.W. Conference on Health, Inference, and Learning (CHIL) 2023. *Equal contribution

P. Pataranutaporn* J. Leong*, V. Danry*, A. Lawson, P. Maes, M. Sra. 2022. *Co-first authorship ”AI-Generated Virtual Instructors Based on Liked or Admired People Can Improve Motivation and Foster Positive Emotions for Learning” to appear in FIE 2022, October 8-11, Uppsala, Sweden.

Hang Jiang, Doug Beeferman, Brandon Roy, and Deb Roy. 2022. CommunityLM: Probing Partisan Worldviews from Language Models. In Proceedings of the 29th International Conference on Computational Linguistics (COLING), pages 6818–6826, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.

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Jiang, Hang, Sairam Gurajada, Qiuhao Lu, Sumit Neelam, Lucian Popa, Prithviraj Sen, Yunyao Li, and Alexander Gray. "LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking." ACL (2021).