International Conferences

2026

[C40] Query Lens: Interpreting Sparse Key-Value Features with Indirect Effects

• Hwiyeong Lee, Ingyu Bang, Uiji Hwang, Hyelim Lim, Taeuk Kim

• The 43rd International Conference on Machine Learning (ICML 2026)

[C39] Uncertainty-Aware Multi-Metric Evaluation of Human–Machine Agreement for LLM-Based Educational Assessment

• Jin Eun Yoo, Hyeong Gwan Kim, Taeuk Kim

• The 27th International Conference on Artificial Intelligence in Education (AIED 2026)

[C38] Superficial Success vs. Internal Breakdown: An Empirical Study of Generalization in Adaptive Multi-Agent Systems 🇬🇧[ENG] 🇰🇷[KOR]

• Namyeong So*, Seokgyu Jang*, Taeuk Kim (*: equal contribution)

• Findings of the Association for Computational Linguistics: ACL 2026 (Findings of ACL 2026)

[C37] Hybrid-Vector Retrieval for Visually Rich Documents: Combining Single-Vector Efficiency and Multi-Vector Accuracy 🇬🇧[ENG] 🇰🇷[KOR]

• Juyeon Kim, Geon Lee, Dongwon Choi, Taeuk Kim*, Kijung Shin* (*: Co-corresponding authors)

• Findings of the Association for Computational Linguistics: ACL 2026 (Findings of ACL 2026)

[C36] ADVICE: Answer-Dependent Verbalized Confidence Estimation 🇬🇧[ENG] 🇰🇷[KOR]

• Ki Jung Seo, Sehun Lim, Taeuk Kim

• The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026)

[C35] OMHBench: Benchmarking Balanced and Grounded Omni-Modal Multi-Hop Reasoning 🇬🇧[ENG] 🇰🇷[KOR]

• Seunghee Kim, Ingyu Bang, Seokgyu Jang, Changhyeon Kim, Sanghwan Bae, Jihun Choi, Richeng Xuan, Taeuk Kim

• Findings of the Association for Computational Linguistics: ACL 2026 (Findings of ACL 2026)

[C34] Think Just Enough: Leveraging Self-Assessed Confidence for Adaptive Reasoning in Language Models 🇬🇧[ENG] 🇰🇷[KOR]

• Junyeob Kim, Sang-goo Lee, Taeuk Kim

• Findings of the Association for Computational Linguistics: EACL 2026 (Findings of EACL 2026)

[C33] Development and Evaluation of a Dual-Expertise, Utterance-Level Framework for LLM-Based Science Classroom Discourse Analysis 🇬🇧[ENG] 🇰🇷[KOR]

• Jin Eun Yoo, Nam-Hwa Kang, Suna Ryu, Jun-ki Lee, Youngsun Kwak, Taeuk Kim, Hyeong Gwan Kim, Youngwoo Shin, Uiji Hwang

• The 16th International Learning Analytics & Knowledge Conference (LAK 2026)

2025

[C32] Beyond Task-Oriented and Chitchat Dialogues: Proactive and Transition-Aware Conversational Agents 🇬🇧[ENG] 🇰🇷[KOR]

• Yejin Yoon, Yuri Son, Namyeong So, Minseo Kim, Minsoo Cho, Chanhee Park, Seungshin Lee, Taeuk Kim

• The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025)

[C31] MAGIC: A Multi-Hop and Graph-Based Benchmark for Inter-Context Conflicts in Retrieval-Augmented Generation 🇬🇧[ENG] 🇰🇷[KOR]

• Jungyeon Lee*, Kangmin Lee*, Taeuk Kim (*: equal contribution)

• Findings of the Association for Computational Linguistics: EMNLP 2025 (Findings of EMNLP 2025)

[C30] Memorization or Reasoning? Exploring the Idiom Understanding of LLMs 🇬🇧[ENG] 🇰🇷[KOR]

• Jisu Kim*, Youngwoo Shin*, Uiji Hwang, Jihun Choi, Richeng Xuan, Taeuk Kim (*: equal contribution)

• The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025)

[C29] Does Localization Inform Unlearning? A Rigorous Examination of Local Parameter Attribution for Knowledge Unlearning in Language Models 🇬🇧[ENG] 🇰🇷[KOR]

• Hwiyeong Lee, Uiji Hwang, Hyelim Lim, Taeuk Kim

• The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025)

[C28] FCMR: Robust Evaluation of Financial Cross-Modal Multi-Hop Reasoning 🇬🇧[ENG] 🇰🇷[KOR]

• Seunghee Kim*, Changhyeon Kim*, Taeuk Kim (*: equal contribution)

• The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)

[C27] When to Speak, When to Abstain: Contrastive Decoding with Abstention 🇬🇧[ENG] 🇰🇷[KOR]

• Hyuhng Joon Kim, Youna Kim, Sang-goo Lee, Taeuk Kim

• The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)

[C26] ENGinius: A Bilingual LLM Optimized for Plant Construction Engineering 🇬🇧[ENG] 🇰🇷[KOR]

• Wooseong Lee, Minseo Kim, Taeil Hur, Gyeong Hwan Jang, Woncheol Lee, Maro Na, Taeuk Kim

• The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025): Industry Track

[C25] KGMEL: Knowledge Graph-Enhanced Multimodal Entity Linking 🇬🇧[ENG] 🇰🇷[KOR]

• Juyeon Kim, Geon Lee, Taeuk Kim*, Kijung Shin* (*: Co-corresponding authors)

• The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025)

[C24] Subgraph-Aware Training of Language Models for Knowledge Graph Completion Using Structure-Aware Contrastive Learning 🇬🇧[ENG] 🇰🇷[KOR]

• Youmin Ko*, Hyemin Yang*, Taeuk Kim, Hyunjoon Kim (*: equal contribution)

• The Web Conference 2025 (WWW 2025)

[C23] ESPRESSO: An Effective Approach to Passage Retrieval for High-Quality Conversational Recommender Systems 🇬🇧[ENG] 🇰🇷[KOR]

• Taeho Kim, Hyeongjun Jang, Juwon Yu, Taeuk Kim, Hyunyoung Lee, Jihui Im, Sang-Wook Kim

• The 39th AAAI Conference on Artificial Intelligence (AAAI 2025)

2024

[C22] Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts 🇬🇧[ENG] 🇰🇷[KOR]

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

• Findings of the Association for Computational Linguistics: EMNLP 2024 (Findings of EMNLP 2024)

[C21] Revisiting the Impact of Pursuing Modularity for Code Generation 🇬🇧[ENG] 🇰🇷[KOR]

• Deokyeong Kang*, Ki Jung Seo*, Taeuk Kim (*: equal contribution)

• Findings of the Association for Computational Linguistics: EMNLP 2024 (Findings of EMNLP 2024)

[C20] Aligning Language Models to Explicitly Handle Ambiguity 🇬🇧[ENG] 🇰🇷[KOR]

• Hyuhng Joon Kim, Youna Kim, Cheonbok Park, Junyeob Kim, Choonghyun Park, Kang Min Yoo, Sang-goo Lee, Taeuk Kim 

• The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024)

[C19] Hyper-CL: Conditioning Sentence Representations with Hypernetworks 🇬🇧[ENG] 🇰🇷[KOR]

• Young Hyun Yoo*, Jii Cha*, Changhyeon Kim, Taeuk Kim (*: equal contribution)

• The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)

[C18] Analysis of Multi-Source Language Training in Cross-Lingual Transfer 🇬🇧[ENG] 🇰🇷[KOR]

• Seong Hoon Lim, Taejun Yun, Jinhyeon Kim, Jihun Choi, Taeuk Kim 

• The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)

[C17] BlendX: Complex Multi-Intent Detection with Blended Patterns  🇬🇧[ENG] 🇰🇷[KOR]

• Yejin Yoon, Jungyeon Lee, Kangsan Kim, Chanhee Park, Taeuk Kim

• The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)

2023

[C16] X-SNS: Cross-Lingual Transfer Prediction through Sub-Network Similarity 🇬🇧[ENG] 🇰🇷[KOR]

• Taejun Yun, Jinhyeon Kim, Deokyeong Kang, Seong Hoon Lim, Jihoon Kim, Taeuk Kim

• Findings of the Association for Computational Linguistics: EMNLP 2023 (Findings of EMNLP 2023)

[C15] Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP 🇬🇧[ENG] 🇰🇷[KOR]

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

• Findings of the Association for Computational Linguistics: EMNLP 2023 (Findings of EMNLP 2023)

[C14] Prompt-Augmented Linear Probing: Scaling Beyond The Limit of Few-shot In-Context Learners 🇬🇧[ENG] 🇰🇷[KOR]

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

• The 37th AAAI Conference on Artificial Intelligence (AAAI 2023)

2022

[C13] Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations 🇬🇧[ENG] 🇰🇷[KOR]

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

• The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)

[C12] Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble 🇬🇧[ENG] 🇰🇷[KOR]

• Hyunsoo Cho, Choonghyun Park, Jaewook Kang, Kang Min Yoo, Taeuk Kim, Sang-goo Lee

• Findings of the Association for Computational Linguistics: EMNLP 2022 (Findings of EMNLP 2022)

[C11] Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Models 🇬🇧[ENG] 🇰🇷[KOR]

• Taeuk Kim

• The 29th International Conference on Computational Linguistics (COLING 2022)

Before 2022

[C10] Multilingual Chart-based Constituency Parse Extraction from Pre-trained Language Models 🇬🇧[ENG] 🇰🇷[KOR]

• Taeuk Kim, Bowen Li, Sang-goo Lee

• Findings of the Association for Computational Linguistics: EMNLP 2021 (Findings of EMNLP 2021)

[C9] Self-Guided Contrastive Learning for BERT Sentence Representations 🇬🇧[ENG] 🇰🇷[KOR]

• Taeuk Kim, Kang Min Yoo, Sang-goo Lee

• The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021)

[C8] Heads-up! Unsupervised Constituency Parsing via Self-Attention Heads 🇬🇧[ENG] 🇰🇷[KOR]

• Bowen Li, Taeuk Kim, Reinald Kim Amplayo, Frank Keller

• The 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (AACL-IJCNLP 2020)

[C7] Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction 🇬🇧[ENG] 🇰🇷[KOR]

• Taeuk Kim, Jihun Choi, Daniel Edmiston, Sang-goo Lee

• International Conference on Learning Representations 2020 (ICLR 2020)

[C6] Cell-aware Stacked LSTMs for Modeling Sentences 🇬🇧[ENG] 🇰🇷[KOR]

• Jihun Choi, Taeuk Kim, Sang-goo Lee

• The 11th Asian Conference on Machine Learning (ACML 2019)

[C5] Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja 🇬🇧[ENG] 🇰🇷[KOR]

• Taeuk Kim*, Kang Min Yoo*, Sang-goo Lee (*: equal contribution)

• Conference on Empirical Methods in Natural Language Processing 2019 and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019)

[C4] Intrinsic Evaluation of Grammatical Information within Word Embeddings

• Daniel Edmiston, Taeuk Kim

• The 33rd Pacific Asia Conference on Language, Information and Computation (PACLIC 33)

[C3] A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching 🇬🇧[ENG] 🇰🇷[KOR]

• Jihun Choi, Taeuk Kim, Sang-goo Lee

• The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019)

[C2] Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag Representations 🇬🇧[ENG] 🇰🇷[KOR]

• Taeuk Kim, Jihun Choi, Daniel Edmiston, Sanghwan Bae, Sang-goo Lee

•  Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019)

[C1] Element-wise Bilinear Interaction for Sentence Matching 🇬🇧[ENG] 🇰🇷[KOR]

• Jihun Choi, Taeuk Kim, Sang-goo Lee

• The Seventh Joint Conference on Lexical and Computational Semantics (*SEM 2018) at NAACL HLT 2018