Publications

Krista Opsahl-Ong*, Michael J. Ryan*, Josh Purtell, David Broman, Christopher Potts, Matei Zaharia, Omar Khattab (2024). Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs. EMNLP 2024.

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William Held, Ella Li, Michael J. Ryan, Weiyan Shi, Yanzhe Zhang, Diyi Yang (2024). Distilling an End-to-End Voice Assistant Without Instruction Training Data. Arxiv.

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Michael J. Ryan, William Held, Diyi Yang (2024). Unintended Impacts of LLM Alignment on Global Representation. ACL 2024.

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Michael J. Ryan, Tarek Naous, Wei Xu (2023). Revisiting non-English Text Simplification: A Unified Multilingual Benchmark. ACL 2023.

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Tarek Naous, Michael J. Ryan, Anton Lavrouk, Mohit Chandra, Wei Xu (2023). Towards Massively Multi-domain Multilingual Readability Assessment. EMNLP 2024.

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Tarek Naous, Michael J. Ryan, Alan Ritter, Wei Xu (2023). Having Beer after Prayer? Measuring Cultural Bias in Large Language Models. ACL 2024.

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Michael J. Ryan (2019). Facial Composite Generation from Natural Language Text Descriptions using Stacked Generative Adversarial Networks. AP Research (Score 5/5).

Ashley Chung, Sean Kim, Ethan Kwok, Michael J. Ryan, Erika Tan, Ryan Gamadia (2018). Cloud Computed Machine Learning Based Real-Time Litter Detection using Micro-UAV Surveillance. IEEE MIT URTC.

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