Benjamin Adams — accepted AI-conference papers

2025

Growing manipulators through feeding material outside-in: Inversion robots

Xinyi Pi, Junke Yao, Benjamin Adams, Antonia Gerontati, Helge A. Wurdemann

IROS 2025

Soft eversion robots have demonstrated significant advantages in navigating within confined spaces with minimal friction, making them promising candidates for various intraluminal applications in medical, industrial, and exploratory domains. While these type of growing robots enable frictionless mov

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2024

Pre-Trained Language Models Represent Some Geographic Populations Better than Others

Jonathan Dunn, Benjamin Adams, Harish Tayyar Madabushi

COLING 2024main

This paper measures the skew in how well two families of LLMs represent diverse geographic populations. A spatial probing task is used with geo-referenced corpora to measure the degree to which pre-trained language models from the OPT and BLOOM series represent diverse populations around the world.…

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