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researcher

SukHyun Ko

3 papers hereh-index 3150 citations3 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.CL1
  • cs.HC1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20172021
most citedConvergence Analysis of Optimization Algorithms

12 citations · 23 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2021★ 4 cited

What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers

Boseop Kim, HyoungSeok Kim, Sang-Woo Lee +34

GPT-3 shows remarkable in-context learning ability of large-scale language models (LMs) trained on hundreds of billion scale data. Here we address some remaining issues less report…

cs.HC2020★ 7 cited

CareCall: a Call-Based Active Monitoring Dialog Agent for Managing COVID-19 Pandemic

Sang-Woo Lee, Hyunhoon Jung, SukHyun Ko +17

Tracking suspected cases of COVID-19 is crucial to suppressing the spread of COVID-19 pandemic. Active monitoring and proactive inspection are indispensable to mitigate COVID-19 sp…

stat.ML2017★ 12 cited

Convergence Analysis of Optimization Algorithms

HyoungSeok Kim, JiHoon Kang, WooMyoung Park +5

The regret bound of an optimization algorithms is one of the basic criteria for evaluating the performance of the given algorithm. By inspecting the differences between the regret…

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