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Jun Seok Kang

1 paper here

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

author position
  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.CL1

identity via Semantic Scholar / OpenAlex

most citedPoMo: Generating Entity-Specific Post-Modifiers in Context

2 citations · 2 across the 1 of their papers we have counts for

collaborators

3 papers

cs.LG2025

Adaptive Information Routing for Multimodal Time Series Forecasting

Jun Seo, Hyeokjun Choe, Seohui Bae +10

Time series forecasting is a critical task for artificial intelligence with numerous real-world applications. Traditional approaches primarily rely on historical time series data t…

cs.AI2025

DIAMONDs: A Dataset for Dynamic Information And Mental modeling Of Numeric Discussions

Sayontan Ghosh, Mahnaz Koupaee, Yash Kumar Lal +4

Understanding multiparty conversations demands robust Theory of Mind (ToM) capabilities, including the ability to track dynamic information, manage knowledge asymmetries, and disti…

cs.CL2019★ 2 cited

PoMo: Generating Entity-Specific Post-Modifiers in Context

Jun Seok Kang, Robert L. Logan, Zewei Chu +5

We introduce entity post-modifier generation as an instance of a collaborative writing task. Given a sentence about a target entity, the task is to automatically generate a post-mo…

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