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researcher

Michael J. Tarr

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CL1
  • cs.CV1
ORCID 0000-0003-4724-1744

identity via Semantic Scholar / OpenAlex

most citedTIDEE: Tidying Up Novel Rooms using Visuo-Semantic Commonsense Priors

4 citations · 5 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2023★ 1 cited

Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models

Gabriel Sarch, Yue Wu, Michael J. Tarr +1

Pre-trained and frozen large language models (LLMs) can effectively map simple scene rearrangement instructions to programs over a robot's visuomotor functions through appropriate…

cs.CL2023

Quantifying the Roles of Visual, Linguistic, and Visual-Linguistic Complexity in Verb Acquisition

Yuchen Zhou, Michael J. Tarr, Daniel Yurovsky

Children typically learn the meanings of nouns earlier than the meanings of verbs. However, it is unclear whether this asymmetry is a result of complexity in the visual structure o…

cs.CV2022★ 4 cited

TIDEE: Tidying Up Novel Rooms using Visuo-Semantic Commonsense Priors

Gabriel Sarch, Zhaoyuan Fang, Adam W. Harley +4

We introduce TIDEE, an embodied agent that tidies up a disordered scene based on learned commonsense object placement and room arrangement priors. TIDEE explores a home environment…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.