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researcher

Shane Storks

University of Michigan

10 papers hereh-index 8360 citations15 works total

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

author position
  • first author6
  • middle author4

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CL6
  • cs.AI4
affiliations
  • University of Michigan
HomepageORCID 0000-0002-5826-4426

identity via Semantic Scholar / OpenAlex

activity
20192023
most citedAre We There Yet? Learning to Localize in Embodied Instruction Following

7 citations · 8 across the 9 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2023

Can Foundation Models Watch, Talk and Guide You Step by Step to Make a Cake?

Yuwei Bao, Keunwoo Peter Yu, Yichi Zhang +6

Despite tremendous advances in AI, it remains a significant challenge to develop interactive task guidance systems that can offer situated, personalized guidance and assist humans…

cs.AI2023

In-Context Analogical Reasoning with Pre-Trained Language Models

Xiaoyang Hu, Shane Storks, Richard L. Lewis +1

Analogical reasoning is a fundamental capacity of human cognition that allows us to reason abstractly about novel situations by relating them to past experiences. While it is thoug…

cs.AI2022

DANLI: Deliberative Agent for Following Natural Language Instructions

Yichi Zhang, Jianing Yang, Jiayi Pan +6

Recent years have seen an increasing amount of work on embodied AI agents that can perform tasks by following human language instructions. However, most of these agents are reactiv…

cs.AI2021★ 7 cited

Are We There Yet? Learning to Localize in Embodied Instruction Following

Shane Storks, Qiaozi Gao, Govind Thattai +1

Embodied instruction following is a challenging problem requiring an agent to infer a sequence of primitive actions to achieve a goal environment state from complex language and vi…

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