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Donghoon Kim

4 papers here

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

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.HC1
  • cs.LG1
  • quant-ph1
ORCID 0000-0003-3142-4458
same name
  • Donghoon Kim — 3 papers
  • Donghoon Kim — 2 papers, h 15
  • Donghoon Kim — 1 paper
  • Donghoon Kim — 1 paper
  • Donghoon Kim — 1 paper
  • Donghoon Kim — 1 paper

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 citedQuantum complexity and generalized area law in fully connected models

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

quant-ph2024★ 1 cited

Quantum complexity and generalized area law in fully connected models

Donghoon Kim, Tomotaka Kuwahara

The area law for entanglement entropy fundamentally reflects the complexity of quantum many-body systems, demonstrating ground states of local Hamiltonians to be represented with l…

cs.CL2024

Preserving Pre-trained Representation Space: On Effectiveness of Prefix-tuning for Large Multi-modal Models

Donghoon Kim, Gusang Lee, Kyuhong Shim +1

Recently, we have observed that Large Multi-modal Models (LMMs) are revolutionizing the way machines interact with the world, unlocking new possibilities across various multi-modal…

cs.LG2024

Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks

Donghoon Kim, Minjong Yoo, Honguk Woo

Goal-conditioned (GC) policy learning often faces a challenge arising from the sparsity of rewards, when confronting long-horizon goals. To address the challenge, we explore skill-…

cs.HC2024

A Survey on Exploratory Spatiotemporal Visual Analytics Approaches for Climate Science

Abdullah-Al-Raihan Nayeem, Dongyun Han, Huikyo Lee +5

Climate science produces a wealth of complex, high-dimensional, multivariate data from observations and numerical models. These data are critical for understanding climate changes…

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