| 2026 | ACL | OMHBench: Benchmarking Balanced and Grounded Omni-Modal Multi-Hop Reasoning. | Seunghee Kim, Ingyu Bang, Seokgyu Jang, Changhyeon Kim, Sanghwan Bae, Jihun Choi, Richeng Xuan, Taeuk Kim |
| 2026 | ACL | Hybrid-Vector Retrieval for Visually Rich Documents: Combining Single-Vector Efficiency and Multi-Vector Accuracy. | Juyeon Kim, Geon Lee, Dongwon Choi, Taeuk Kim, Kijung Shin |
| 2026 | ACL | ADVICE: Answer-Dependent Verbalized Confidence Estimation. | Ki Jung Seo, Sehun Lim, Taeuk Kim |
| 2026 | ACL | Superficial Success vs. Internal Breakdown: An Empirical Study of Generalization in Adaptive Multi-Agent Systems. | Namyeong So, Seokgyu Jang, Taeuk Kim |
| 2026 | EACL | Think Just Enough: Leveraging Self-Assessed Confidence for Adaptive Reasoning in Language Models. | Junyeob Kim, Sang-goo Lee, Taeuk Kim |
| 2026 | ISCAS | A 20 Gb/s All-Digital CDR with Fast Locking and Improved PI Linearity Using an Injection-Locked Ring Oscillator. | Jimin Kim, Taeuk Kim, Jinwook Burm |
| 2026 | LAK | Development and Evaluation of a Dual-Expertise, Utterance-Level Framework for LLM-Based Science Classroom Discourse Analysis. | Jin Eun Yoo, Nam-Hwa Kang, Suna Ryu, Jun-ki Lee, Youngsun Kwak, Taeuk Kim, Hyeong Gwan Kim, Youngwoo Shin, Uiji Hwang |
| 2025 | AAAI | ESPRESSO: An Effective Approach to Passage Retrieval for High-Quality Conversational Recommender Systems. | Taeho Kim, Hyeongjun Jang, Juwon Yu, Taeuk Kim, Hyunyoung Lee, Ji-Hui Im, Sang-Wook Kim |
| 2025 | ACL | FCMR: Robust Evaluation of Financial Cross-Modal Multi-Hop Reasoning. | Seunghee Kim, Changhyeon Kim, Taeuk Kim |
| 2025 | ACL | When to Speak, When to Abstain: Contrastive Decoding with Abstention. | Hyuhng Joon Kim, Youna Kim, Sang-goo Lee, Taeuk Kim |
| 2025 | ACL | ENGinius: A Bilingual LLM Optimized for Plant Construction Engineering. | Wooseong Lee, Minseo Kim, Taeil Hur, Gyeong Hwan Jang, Woncheol Lee, Maro Na, Taeuk Kim |
| 2025 | EMNLP | Memorization or Reasoning? Exploring the Idiom Understanding of LLMs. | Jisu Kim, Youngwoo Shin, Uiji Hwang, Jihun Choi, Richeng Xuan, Taeuk Kim |
| 2025 | EMNLP | 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 |
| 2025 | EMNLP | MAGIC: A Multi-Hop and Graph-Based Benchmark for Inter-Context Conflicts in Retrieval-Augmented Generation. | Jungyeon Lee, Kangmin Lee, Taeuk Kim |
| 2025 | EMNLP | Beyond Task-Oriented and Chitchat Dialogues: Proactive and Transition-Aware Conversational Agents. | Yejin Yoon, Yuri Son, Namyoung So, Minseo Kim, Minsoo Cho, Chanhee Park, Seungshin Lee, Taeuk Kim |
| 2025 | WWW | Subgraph-Aware Training of Language Models for Knowledge Graph Completion Using Structure-Aware Contrastive Learning. | Youmin Ko, Hyemin Yang, Taeuk Kim, Hyunjoon Kim |
| 2025 | SIGIR | KGMEL: Knowledge Graph-Enhanced Multimodal Entity Linking. | Juyeon Kim, Geon Lee, Taeuk Kim, Kijung Shin |
| 2024 | ACL | Analysis of Multi-Source Language Training in Cross-Lingual Transfer. | Seong Hoon Lim, Taejun Yun, Jinhyeon Kim, Jihun Choi, Taeuk Kim |
| 2024 | ACL | Hyper-CL: Conditioning Sentence Representations with Hypernetworks. | Young Hyun Yoo, Jii Cha, Changhyeon Kim, Taeuk Kim |
| 2024 | COLING | BlendX: Complex Multi-Intent Detection with Blended Patterns. | Yejin Yoon, Jungyeon Lee, Kangsan Kim, Chanhee Park, Taeuk Kim |
| 2024 | EMNLP | Revisiting the Impact of Pursuing Modularity for Code Generation. | Deokyeong Kang, Ki Jung Seo, Taeuk Kim |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | 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 |
| 2023 | AAAI | Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners. | Hyunsoo Cho, Hyuhng Joon Kim, Junyeob Kim, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim |
| 2023 | EMNLP | Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP. | Hyuhng Joon Kim, Hyunsoo Cho, Sang-Woo Lee, Junyeob Kim, Choonghyun Park, Sang-goo Lee, Kang Min Yoo, Taeuk Kim |
| 2023 | EMNLP | X-SNS: Cross-Lingual Transfer Prediction through Sub-Network Similarity. | Taejun Yun, Jinhyeon Kim, Deokyeong Kang, Seong Hoon Lim, Jihoon Kim, Taeuk Kim |
| 2022 | COLING | Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Models. | Taeuk Kim |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | 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, Sang-goo Lee, Taeuk Kim |
| 2021 | ACL | Self-Guided Contrastive Learning for BERT Sentence Representations. | Taeuk Kim, Kang Min Yoo, Sang-goo Lee |
| 2021 | EMNLP | Multilingual Chart-based Constituency Parse Extraction from Pre-trained Language Models. | Taeuk Kim, Bowen Li, Sang-goo Lee |
| 2020 | ICLR | Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction. | Taeuk Kim, Jihun Choi, Daniel Edmiston, Sang-goo Lee |
| 2020 | IJCNLP | Heads-up! Unsupervised Constituency Parsing via Self-Attention Heads. | Bowen Li, Taeuk Kim, Reinald Kim Amplayo, Frank Keller |
| 2019 | AAAI | Dynamic Compositionality in Recursive Neural Networks with Structure-Aware Tag Representations. | Taeuk Kim, Jihun Choi, Daniel Edmiston, Sanghwan Bae, Sang-goo Lee |
| 2019 | ACL | A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching. | Jihun Choi, Taeuk Kim, Sang-goo Lee |
| 2019 | ACML | Cell-aware Stacked LSTMs for Modeling Sentences. | Jihun Choi, Taeuk Kim, Sang-goo Lee |
| 2019 | EMNLP | Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja. | Kang Min Yoo, Taeuk Kim, Sang-goo Lee |
| 2017 | EMNLP | A Syllable-based Technique for Word Embeddings of Korean Words. | Sanghyuk Choi, Taeuk Kim, Jinseok Seol, Sang-goo Lee |