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Seokhwan Jo

2 papers hereh-index 691 citations17 works total

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CL1
same name
  • Seokhwan Jo — 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 citedSUMBT+LaRL: Effective Multi-domain End-to-end Neural Task-oriented Dialog System

9 citations · 9 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AI2026

A.X K2 Technical Report

Cheolseung Baek, Dhammiko Arya, Eunki Kim +40

We introduce A.X K2, a 688B-parameter Mixture-of-Experts (MoE) language model trained from scratch as a high-performance foundation for \emph{agentic} applications. Trained on appr…

cs.CL2020★ 9 cited

SUMBT+LaRL: Effective Multi-domain End-to-end Neural Task-oriented Dialog System

Hwaran Lee, Seokhwan Jo, HyungJun Kim +2

The recent advent of neural approaches for developing each dialog component in task-oriented dialog systems has remarkably improved, yet optimizing the overall system performance r…

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