Taeuk Kim

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 56

Top Topics

Natural Language

Top Venues

EMNLP (Findings)

Publications

Seong Hoon Lim, Taejun Yun, Jinhyeon Kim, Jihun Choi, Taeuk Kim
Analysis of Multi-Source Language Training in Cross-Lingual Transfer. CoRR (2024)
Deokyeong Kang, Ki Jung Seo, Taeuk Kim
Revisiting the Impact of Pursuing Modularity for Code Generation. CoRR (2024)
Young Hyun Yoo, Jii Cha, Changhyeon Kim, Taeuk Kim
Hyper-CL: Conditioning Sentence Representations with Hypernetworks. ACL (1) (2024)
Young Hyun Yoo, Jii Cha, Changhyeon Kim, Taeuk Kim
Hyper-CL: Conditioning Sentence Representations with Hypernetworks. CoRR (2024)
Hyuhng Joon Kim, Youna Kim, Cheonbok Park, Junyeob Kim, Choonghyun Park, Kang Min Yoo, Sang-goo Lee, Taeuk Kim
Aligning Language Models to Explicitly Handle Ambiguity. CoRR (2024)
Yejin Yoon, Jungyeon Lee, Kangsan Kim, Chanhee Park, Taeuk Kim
BlendX: Complex Multi-Intent Detection with Blended Patterns. LREC/COLING (2024)
Seong Hoon Lim, Taejun Yun, Jinhyeon Kim, Jihun Choi, Taeuk Kim
Analysis of Multi-Source Language Training in Cross-Lingual Transfer. ACL (1) (2024)
Yejin Yoon, Jungyeon Lee, Kangsan Kim, Chanhee Park, Taeuk Kim
BlendX: Complex Multi-Intent Detection with Blended Patterns. CoRR (2024)
Youmin Ko, Hyemin Yang, Taeuk Kim, Hyunjoon Kim
Subgraph-Aware Training of Text-based Methods for Knowledge Graph Completion. CoRR (2024)
Choonghyun Park, Hyuhng Joon Kim, Junyeob Kim, Youna Kim, Taeuk Kim, Hyunsoo Cho, Hwiyeol Jo, Sang-goo Lee, Kang Min Yoo
Investigating the Influence of Prompt-Specific Shortcuts in AI Generated Text Detection. CoRR (2024)
Taejun Yun, Jinhyeon Kim, Deokyeong Kang, Seong Hoon Lim, Jihoon Kim, Taeuk Kim
X-SNS: Cross-Lingual Transfer Prediction through Sub-Network Similarity. CoRR (2023)
Hyuhng Joon Kim, Hyunsoo Cho, Sang-Woo Lee, Junyeob Kim, Choonghyun Park, Sang-goo Lee, Kang Min Yoo, Taeuk Kim
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP. EMNLP (Findings) (2023)
Taejun Yun, Jinhyeon Kim, Deokyeong Kang, Seong Hoon Lim, Jihoon Kim, Taeuk Kim
X-SNS: Cross-Lingual Transfer Prediction through Sub-Network Similarity. EMNLP (Findings) (2023)
Hyunsoo Cho, Hyuhng Joon Kim, Junyeob Kim, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim
Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners. AAAI (2023)
Hyuhng Joon Kim, Hyunsoo Cho, Sang-Woo Lee, Junyeob Kim, Choonghyun Park, Sang-goo Lee, Kang Min Yoo, Taeuk Kim
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP. CoRR (2023)
Kang Min Yoo, Junyeob Kim, Hyuhng Joon Kim, Hyunsoo Cho, Hwiyeol Jo, Sang-Woo Lee, Sang-goo Lee, Taeuk Kim
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations. EMNLP (2022)
Youngju Joung, Taeuk Kim
HYU at SemEval-2022 Task 2: Effective Idiomaticity Detection with Consideration at Different Levels of Contextualization. CoRR (2022)
Taeuk Kim
Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Models. COLING (2022)
Youngju Joung, Taeuk Kim
HYU at SemEval-2022 Task 2: Effective Idiomaticity Detection with Consideration at Different Levels of Contextualization. SemEval@NAACL (2022)
Hyunsoo Cho, Choonghyun Park, Jaewook Kang, Kang Min Yoo, Taeuk Kim, Sang-goo Lee
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble. CoRR (2022)
Junyeob Kim, Hyuhng Joon Kim, Hyunsoo Cho, Hwiyeol Jo, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations. CoRR (2022)
Taeuk Kim
Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Models. CoRR (2022)
Hyunsoo Cho, Choonghyun Park, Jaewook Kang, Kang Min Yoo, Taeuk Kim, Sang-goo Lee
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble. EMNLP (Findings) (2022)
Hyuhng Joon Kim, Hyunsoo Cho, Junyeob Kim, Taeuk Kim, Kang Min Yoo, Sang-goo Lee
Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator. CoRR (2022)
Hyunsoo Cho, Hyuhng Joon Kim, Junyeob Kim, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim
Prompt-Augmented Linear Probing: Scaling Beyond The Limit of Few-shot In-Context Learners. CoRR (2022)
Taeuk Kim, Kang Min Yoo, Sang-goo Lee
Self-Guided Contrastive Learning for BERT Sentence Representations. ACL/IJCNLP (1) (2021)
Taeuk Kim, Kang Min Yoo, Sang-goo Lee
Self-Guided Contrastive Learning for BERT Sentence Representations. CoRR (2021)
Taeuk Kim, Bowen Li, Sang-goo Lee
Multilingual Chart-based Constituency Parse Extraction from Pre-trained Language Models. EMNLP (Findings) (2021)
Taeuk Kim, Sang-goo Lee
Multilingual Zero-shot Constituency Parsing. CoRR (2020)
Taeuk Kim, Jihun Choi, Daniel Edmiston, Sang-goo Lee
Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction. ICLR (2020)
Taeuk Kim, Safdar Jamil, Joongeon Park, Youngjae Kim
Optimizing Placement of Heap Memory Objects in Energy-Constrained Hybrid Memory Systems. CoRR (2020)
Bowen Li, Taeuk Kim, Reinald Kim Amplayo, Frank Keller
Heads-up! Unsupervised Constituency Parsing via Self-Attention Heads. AACL/IJCNLP (2020)
Bowen Li, Taeuk Kim, Reinald Kim Amplayo, Frank Keller
Heads-up! Unsupervised Constituency Parsing via Self-Attention Heads. CoRR (2020)
Jaeyoul Shin, Taeuk Kim, Sang-goo Lee
IDS at SemEval-2020 Task 10: Does Pre-trained Language Model Know What to Emphasize? SemEval@COLING (2020)
Taeuk Kim, Safdar Jamil, Joongeon Park, Youngjae Kim
Optimizing Heap Memory Object Placement in the Hybrid Memory System With Energy Constraints. IEEE Access 8 (2020)
Taeuk Kim, Jihun Choi, Daniel Edmiston, Sang-goo Lee
Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction. CoRR (2020)
Jaeyoul Shin, Taeuk Kim, Sang-goo Lee
IDS at SemEval-2020 Task 10: Does Pre-trained Language Model Know What to Emphasize? CoRR (2020)
Sanghwan Bae, Taeuk Kim, Jihoon Kim, Sang-goo Lee
Summary Level Training of Sentence Rewriting for Abstractive Summarization. CoRR (2019)
Preethika Kasu, Taeuk Kim, Jung-Ho Um, Kyongseok Park, Scott Atchley, Youngjae Kim
FTLADS: Object-Logging Based Fault-Tolerant Big Data Transfer System Using Layout Aware Data Scheduling. IEEE Access 7 (2019)
Jihun Choi, Taeuk Kim, Sang-goo Lee
Cell-aware Stacked LSTMs for Modeling Sentences. ACML (2019)
Taeuk Kim, Jihun Choi, Daniel Edmiston, Sanghwan Bae, Sang-goo Lee
Dynamic Compositionality in Recursive Neural Networks with Structure-Aware Tag Representations. AAAI (2019)
Kang Min Yoo, Taeuk Kim, Sang-goo Lee
Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja. EMNLP/IJCNLP (1) (2019)
Jihun Choi, Taeuk Kim, Sang-goo Lee
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching. CoRR (2019)
Awais Khan, Taeuk Kim, Hyunki Byun, Youngjae Kim
SciSpace: A scientific collaboration workspace for geo-distributed HPC data centers. Future Gener. Comput. Syst. 101 (2019)
Jihun Choi, Taeuk Kim, Sang-goo Lee
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching. ACL (1) (2019)
Kang Min Yoo, Taeuk Kim, Sang-goo Lee
Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja. CoRR (2019)
Taeuk Kim, Jihun Choi, Sang-goo Lee
SNU_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning Comprehension. CoRR (2018)
Jihun Choi, Taeuk Kim, Sang-goo Lee
Element-wise Bilinear Interaction for Sentence Matching. *SEM@NAACL-HLT (2018)
Taeuk Kim, Jihun Choi, Daniel Edmiston, Sanghwan Bae, Sang-goo Lee
Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag Representations. CoRR (2018)
Taeuk Kim, Jihun Choi, Sang-goo Lee
SNU_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning Comprehension. SemEval@NAACL-HLT (2018)
Taeuk Kim, Awais Khan, Youngjae Kim, Preethika Kasu, Scott Atchley
NUMA-Aware Thread Scheduling for Big Data Transfers over Terabits Network Infrastructure. Sci. Program. 2018 (2018)
Preethika Kasu, Taeuk Kim, Youngjae Kim, Jung-Ho Um, Kyongseok Park, Scott Atchley
FT-LADS: Fault-Tolerant Object-Logging based Big Data Transfer System using Layout-Aware Data Scheduling. CoRR (2018)
Jihun Choi, Taeuk Kim, Sang-goo Lee
Cell-aware Stacked LSTMs for Modeling Sentences. CoRR (2018)
Awais Khan, Taeuk Kim, Hyunki Byun, Youngjae Kim, Sungyong Park, Hyogi Sim
SCISPACE: A Scientific Collaboration Workspace for File Systems in Geo-Distributed HPC Data Centers. CoRR (2018)
Sanghyuk Choi, Taeuk Kim, Jinseok Seol, Sang-goo Lee
A Syllable-based Technique for Word Embeddings of Korean Words. CoRR (2017)
Sanghyuk Choi, Taeuk Kim, Jinseok Seol, Sang-goo Lee
A Syllable-based Technique for Word Embeddings of Korean Words. SWCN@EMNLP (2017)
Seonmee Lee, Taeyong Park, Junwoo Jang, Woongjin Seo, Taeuk Kim, Jongjin Park, Moojong Lim, JongSang Baek
Luminance and gamma optimization for mobile display in low ambient conditions. IQSP (2015)