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Seunghyun Kim

3 papers hereh-index 228 citations5 works total

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.AI2
  • cs.CV1
same name
  • Seunghyun Kim — 2 papers, h 5
  • Seunghyun Kim — 2 papers, h 0
  • Seunghyun Kim — 2 papers, h 6
  • Seunghyun Kim — 1 paper, h 2
  • Seunghyun Kim — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedEfficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents

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

collaborators
Showing cs.AIShow all

2 papers · 1 filter

cs.AI2024★ 3 cited

Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents

Wonje Choi, Woo Kyung Kim, SeungHyun Kim +1

For embodied reinforcement learning (RL) agents interacting with the environment, it is desirable to have rapid policy adaptation to unseen visual observations, but achieving zero-…

cs.AI2024

Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments

Sangwoo Shin, Seunghyun Kim, Youngsoo Jang +2

In embodied instruction-following (EIF), the integration of pretrained language models (LMs) as task planners emerges as a significant branch, where tasks are planned at the skill…

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