Luminance and gamma optimization for mobile display in low ambient conditions. - Seonmee Lee; Taeyong Park; Junwoo Jang; Woongjin Seo; Taeuk Kim; Jongjin Park; Moojong Lim; JongSang Baek (IQSP, 2015)

A Syllable-based Technique for Word Embeddings of Korean Words. - Sanghyuk Choi; Taeuk Kim; Jinseok Seol; Sang-goo Lee (SWCN@EMNLP, 2017)

SNU_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning Comprehension. - Taeuk Kim; Jihun Choi; Sang-goo Lee (SemEval@NAACL-HLT, 2018)

Element-wise Bilinear Interaction for Sentence Matching. - Jihun Choi; Taeuk Kim; Sang-goo Lee (*SEM@NAACL-HLT, 2018)

SCISPACE: A Scientific Collaboration Workspace for File Systems in Geo-Distributed HPC Data Centers. - Awais Khan 002; Taeuk Kim; Hyunki Byun; Youngjae Kim 001; Sungyong Park; Hyogi Sim (CoRR, 2018)

FT-LADS: Fault-Tolerant Object-Logging based Big Data Transfer System using Layout-Aware Data Scheduling. - Preethika Kasu; Taeuk Kim; Youngjae Kim 001; Jung-Ho Um; Kyongseok Park; Scott Atchley (CoRR, 2018)

NUMA-Aware Thread Scheduling for Big Data Transfers over Terabits Network Infrastructure. - Taeuk Kim; Awais Khan 002; Youngjae Kim 001; Preethika Kasu; Scott Atchley (Sci. Program., 2018)

Dynamic Compositionality in Recursive Neural Networks with Structure-Aware Tag Representations. - Taeuk Kim; Jihun Choi; Daniel Edmiston; Sanghwan Bae; Sang-goo Lee (AAAI, 2019)

A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching. - Jihun Choi; Taeuk Kim; Sang-goo Lee (ACL (1), 2019)

Cell-aware Stacked LSTMs for Modeling Sentences. - Jihun Choi; Taeuk Kim; Sang-goo Lee (ACML, 2019)

Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja. - Kang Min Yoo; Taeuk Kim; Sang-goo Lee (EMNLP/IJCNLP (1), 2019)

FTLADS: Object-Logging Based Fault-Tolerant Big Data Transfer System Using Layout Aware Data Scheduling. - Preethika Kasu; Taeuk Kim; Jung-Ho Um; Kyongseok Park; Scott Atchley; Youngjae Kim 001 (IEEE Access, 2019)

Summary Level Training of Sentence Rewriting for Abstractive Summarization. - Sanghwan Bae; Taeuk Kim; Jihoon Kim; Sang-goo Lee (CoRR, 2019)

SciSpace: A scientific collaboration workspace for geo-distributed HPC data centers. - Awais Khan 002; Taeuk Kim; Hyunki Byun; Youngjae Kim 001 (Future Gener. Comput. Syst., 2019)

Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction. - Taeuk Kim; Jihun Choi; Daniel Edmiston; Sang-goo Lee (ICLR, 2020)

Heads-up! Unsupervised Constituency Parsing via Self-Attention Heads. - Bowen Li 002; Taeuk Kim; Reinald Kim Amplayo; Frank Keller (AACL/IJCNLP, 2020)

IDS at SemEval-2020 Task 10: Does Pre-trained Language Model Know What to Emphasize? - Jaeyoul Shin; Taeuk Kim; Sang-goo Lee (SemEval@COLING, 2020)

Optimizing Heap Memory Object Placement in the Hybrid Memory System With Energy Constraints. - Taeuk Kim; Safdar Jamil; Joongeon Park; Youngjae Kim 001 (IEEE Access, 2020)

Multilingual Zero-shot Constituency Parsing. - Taeuk Kim; Sang-goo Lee (CoRR, 2020)

Optimizing Placement of Heap Memory Objects in Energy-Constrained Hybrid Memory Systems. - Taeuk Kim; Safdar Jamil; Joongeon Park; Youngjae Kim 001 (CoRR, 2020)

Self-Guided Contrastive Learning for BERT Sentence Representations. - Taeuk Kim; Kang Min Yoo; Sang-goo Lee (ACL/IJCNLP (1), 2021)

Multilingual Chart-based Constituency Parse Extraction from Pre-trained Language Models. - Taeuk Kim; Bowen Li 002; Sang-goo Lee (EMNLP (Findings), 2021)

Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Models. - Taeuk Kim (COLING, 2022)

Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble. - Hyunsoo Cho; Choonghyun Park; Jaewook Kang; Kang Min Yoo; Taeuk Kim; Sang-goo Lee (EMNLP (Findings), 2022)

Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations. - Kang Min Yoo; Junyeob Kim; Hyuhng Joon Kim; Hyunsoo Cho; Hwiyeol Jo; Sang-Woo Lee 001; Sang-goo Lee; Taeuk Kim (EMNLP, 2022)

HYU at SemEval-2022 Task 2: Effective Idiomaticity Detection with Consideration at Different Levels of Contextualization. - Youngju Joung; Taeuk Kim (SemEval@NAACL, 2022)

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 (CoRR, 2022)

Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners. - Hyunsoo Cho; Hyuhng Joon Kim; Junyeob Kim; Sang-Woo Lee 001; Sang-goo Lee; Kang Min Yoo; Taeuk Kim (AAAI, 2023)

Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP. - Hyuhng Joon Kim; Hyunsoo Cho; Sang-Woo Lee 001; Junyeob Kim; Choonghyun Park; Sang-goo Lee; Kang Min Yoo; Taeuk Kim (EMNLP (Findings), 2023)

X-SNS: Cross-Lingual Transfer Prediction through Sub-Network Similarity. - Taejun Yun; Jinhyeon Kim; Deokyeong Kang; Seong Hoon Lim; Jihoon Kim; Taeuk Kim (EMNLP (Findings), 2023)

Analysis of Multi-Source Language Training in Cross-Lingual Transfer. - Seong Hoon Lim; Taejun Yun; Jinhyeon Kim; Jihun Choi; Taeuk Kim (ACL (1), 2024)

Hyper-CL: Conditioning Sentence Representations with Hypernetworks. - Young Hyun Yoo; Jii Cha; Changhyeon Kim; Taeuk Kim (ACL (1), 2024)

BlendX: Complex Multi-Intent Detection with Blended Patterns. - Yejin Yoon; Jungyeon Lee; Kangsan Kim; Chanhee Park; Taeuk Kim (LREC/COLING, 2024)

Revisiting the Impact of Pursuing Modularity for Code Generation. - Deokyeong Kang; Ki Jung Seo; Taeuk Kim (EMNLP (Findings), 2024)

Aligning Language Models to Explicitly Handle Ambiguity. - Hyuhng Joon Kim; Youna Kim; Cheonbok Park; Junyeob Kim; Choonghyun Park; Kang Min Yoo; Sang-goo Lee; Taeuk Kim (EMNLP, 2024)

Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts. - Youna Kim; Hyuhng Joon Kim; Cheonbok Park; Choonghyun Park; Hyunsoo Cho; Junyeob Kim; Kang Min Yoo; Sang-goo Lee; Taeuk Kim (EMNLP (Findings), 2024)

Investigating the Influence of Prompt-Specific Shortcuts in AI Generated Text Detection. - Choonghyun Park; Hyuhng Joon Kim; Junyeob Kim; Youna Kim; Taeuk Kim; Hyunsoo Cho; Hwiyeol Jo; Sang-goo Lee; Kang Min Yoo (CoRR, 2024)

Subgraph-Aware Training of Text-based Methods for Knowledge Graph Completion. - Youmin Ko; Hyemin Yang; Taeuk Kim; Hyunjoon Kim (CoRR, 2024)

ESPRESSO: An Effective Approach to Passage Retrieval for High-Quality Conversational Recommender Systems. - Taeho Kim 003; Hyeongjun Jang; Juwon Yu; Taeuk Kim; Hyunyoung Lee; Ji-Hui Im; Sang-Wook Kim (AAAI, 2025)

FCMR: Robust Evaluation of Financial Cross-Modal Multi-Hop Reasoning. - Seunghee Kim; Changhyeon Kim; Taeuk Kim (ACL (1), 2025)

When to Speak, When to Abstain: Contrastive Decoding with Abstention. - Hyuhng Joon Kim; Youna Kim; Sang-goo Lee; Taeuk Kim (ACL (1), 2025)

KGMEL: Knowledge Graph-Enhanced Multimodal Entity Linking. - Juyeon Kim; Geon Lee; Taeuk Kim; Kijung Shin (SIGIR, 2025)

Subgraph-Aware Training of Language Models for Knowledge Graph Completion Using Structure-Aware Contrastive Learning. - Youmin Ko; Hyemin Yang; Taeuk Kim; Hyunjoon Kim (WWW, 2025)

Reliability Across Parametric and External Knowledge: Understanding Knowledge Handling in LLMs. - Youna Kim; Minjoon Choi; Sungmin Cho; Hyuhng Joon Kim; Sang-goo Lee; Taeuk Kim (CoRR, 2025)

Memorization or Reasoning? Exploring the Idiom Understanding of LLMs. - Jisu Kim; Youngwoo Shin; Uiji Hwang; Jihun Choi; Richeng Xuan; Taeuk Kim (CoRR, 2025)

Does Localization Inform Unlearning? A Rigorous Examination of Local Parameter Attribution for Knowledge Unlearning in Language Models. - Hwiyeong Lee; Uiji Hwang; Hyelim Lim; Taeuk Kim (CoRR, 2025)

RAISE: Enhancing Scientific Reasoning in LLMs via Step-by-Step Retrieval. - Minhae Oh; Jeonghye Kim; Nakyung Lee; Donggeon Seo; Taeuk Kim; Jungwoo Lee (CoRR, 2025)

MAGIC: A Multi-Hop and Graph-Based Benchmark for Inter-Context Conflicts in Retrieval-Augmented Generation. - Jungyeon Lee; Kangmin Lee; Taeuk Kim (CoRR, 2025)