Papers by Meera Hahn

2 papers
Where Are You? Localization from Embodied Dialog (2020.emnlp-main)

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Challenge: Observer and Locator perform a cooperative localization task in a 3D environment.
Approach: They propose a dataset of 6k dialogs in which two humans complete a cooperative localization task.
Outcome: The proposed model achieves 32.7% success at identifying the Observer’s location within 3m in unseen buildings, vs. 70.4% for human Locators.
Transformer-based Localization from Embodied Dialog with Large-scale Pre-training (2022.aacl-short)

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Challenge: Observer agent and Locator agents communicate via natural language dialog without access to the Observers view of the scene.
Approach: They propose a graph-based scene representation that is more effective than top-down 2D maps used in previous works.
Outcome: The proposed model outperforms top-down 2D maps and is more accurate than previous baselines.

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