International Workshops

[W7] RAISE: Enhancing Scientific Reasoning in LLMs via Step-by-Step Retrieval

• Minhae Oh, Jeonghye Kim, Nakyung Lee, Donggeon Seo, Taeuk Kim, Jungwoo Lee

• The 5th Workshop on Mathematical Reasoning and AI (MATH-AI) at NeurIPS 2025

[W6] Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator

• Hyuhng Joon Kim, Hyunsoo Cho, Junyeob Kim, Taeuk Kim, Kang Min Yoo, Sang-goo Lee

• Workshop on Large-scale Pre-trained Language Models (LPLM 2022) at NAACL 2022

[W5] HYU at SemEval-2022 Task 2: Effective Idiomaticity Detection with Consideration at Different Levels of Contextualization

• Youngju Joung and Taeuk Kim

• International Workshop on Semantic Evaluation (SemEval 2022) at NAACL 2022

[W4] IDS at SemEval-2020 Task 10: Does Pre-trained Language Model Know What to Emphasize?

• Jaeyoul Shin, Taeuk Kim, Sang-goo Lee

• International Workshop on Semantic Evaluation (SemEval 2020) at COLING 2020

[W3] Summary Level Training of Sentence Rewriting for Abstractive Summarization

• Sanghwan Bae, Taeuk Kim, Jihoon Kim, Sang-goo Lee

• The Second Workshop on New Frontiers in Summarization (NewSum 2019) at EMNLP-IJCNLP 2019

[W2] SNU_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning Comprehension

• Taeuk Kim, Jihun Choi, Sang-goo Lee

• International Workshop on Semantic Evaluation (SemEval 2018) at NAACL HLT 2018

[W1] A Syllable-based Technique for Word Embeddings of Korean Words

• Sanghyuk Choi, Taeuk Kim, Jinseok Seol, Sang-goo Lee

• The 1st Workshop on Subword and Character Level Models in NLP (SCLeM 2017) at EMNLP 2017