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Shekar, S., Pataranutaporn, P., Sarabu, C., Cecchi, G. A., & Maes, P. (2025). People Overtrust AI-Generated Medical Advice despite Low Accuracy. NEJM AI, AIoa2300015.

Justen, L. (2025). Llms outperform experts on challenging biology benchmarks (No. arXiv:2505.06108). arXiv. https://doi.org/10.48550/arXiv.2505.06108

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.

Platnick, D., Alirezaie, M., & Rahnama, H. (2024). Enabling Perspective-Aware AI with Contextual Scene Graph Generation. Information, 15(12), 766. https://doi.org/10.3390/info15120766

Poole-Dayan, Elinor, Deb Roy, and Jad Kabbara. "LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users." arXiv preprint arXiv:2406.17737 (2024).

Baradari, Dünya, Harry Han, Julia Xia, and Carey Ann Strelecki. 2024. “Beyond Imagination: Leveraging Generative AI to Enhance Learning through Story World Analogies.” In 2024 IEEE Frontiers in Education Conference (FIE), 1–8. IEEE. https://doi.org/10.1109/fie61694.2024.10892813.

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.

Chan, S. W. T., Liu, A. R., Ostrowski, A. K., Vaidya, M., Brady, S., Yoquinto, L., D’Ambrosio, L., Zulfikar, W., Maniar, N., Patskanick, T., Leong, J., Kosmyna, N., Coughlin, J., & Maes, P. (2024). Co-designing Generative AI Technologies with Older Adults to Support Daily Tasks. An MIT Exploration of Generative AI. https://doi.org/10.21428/e4baedd9.4f2a95fc

Groh, M., Sankaranarayanan, A., Singh, N. et al. Human detection of political speech deepfakes across transcripts, audio, and video. Nat Commun 15, 7629 (2024). https://doi.org/10.1038/s41467-024-51998-z

Longpre, S., Mahari, R., Chen, A. et al. A large-scale audit of dataset licensing and attribution in AI. Nat Mach Intell 6, 975–987 (2024). https://doi.org/10.1038/s42256-024-00878-8

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.

Klinghoffer, Tzofi, et al. "PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar." IEEE Conference on Computer Vision and Pattern Recognition (2024).

Alirezaie, Marjan, Hossein Rahnama, and Alex Pentland. "Structural Learning in the design of Perspective-Aware AI Systems using Knowledge Graphs." Proceedings of the AAAI. 2024.

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

Artificial Intelligence (cs.AI), arXiv:2403.04893 [cs.AI] (or arXiv:2403.04893v1 [cs.AI] for this version) https://doi.org/10.48550/arXiv.2403.04893 | Shayne Longpre* 1 Sayash Kapoor** 2 Kevin Klyman** 3 Ashwin Ramaswami 4 Rishi Bommasani 3 Borhane Blili-Hamelin 5 Yangsibo Huang 2 Aviya Skowron 6 Zheng-Xin Yong 7 Suhas Kotha 8 Yi Zeng 9 Weiyan Shi 10 Xianjun Yang 11 Reid Southen Alexander Robey

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Kumar, B.*, Lu, C.*, Gupta, G., Palepu, A., Bellamy, D., Raskar, R., & Beam, A. "Conformal Prediction with Large Language Models for Multi-Choice Question Answering." Neural Conversational AI Workshop at ICML 2023.

Smith, A., Schroeder, H., Epstein, Z., Cook, M., Colton, S., & Lippman, A. (2023). Trash to Treasure: Using text-to-image models to inform the design of physical artefacts.

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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Rico Medina, Andres. “Socio-Environmental Sensor Networks for Community Sensing.” Massachusetts Institute of Technology, MIT, 2022.