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HYU NLP Lab Publications

A curated guide to publications from the HYU NLP Lab. Click each card to see a detailed explanation.

Source: nlp.hanyang.ac.kr · Lab Members

60+
Publications
10+
Research Areas
2017-2026
Period
ACL, EMNLP, AAAI, ICLR
Top Venues
Preprints
Latent Preference Modeling for Cross-Session Personalized Tool Calling
Yejin Yoon*, Minseo Kim*, Taeuk Kim
arXiv 2026
MPT benchmark + PRefine memory: latent preferences as revisable hypotheses for cross-session tool calling
Dialogue Benchmark
OmniACBench: A Benchmark for Evaluating Context-Grounded Acoustic Control in Omni-Modal Models
Seunghee Kim, Bumkyu Park, Kyudan Jung, Joosung Lee, Soyoon Kim, Jeonghoon Kim, Taeuk Kim, Hwiyeol Jo
arXiv 2026
Benchmark evaluating context-grounded speech generation across 6 acoustic dimensions
Multimodal Benchmark
UniKnow: A Unified Framework for Reliable Language Model Behavior across Parametric and External Knowledge
Youna Kim, Hyuhng Joon Kim, Minjoon Choi, Sungmin Cho, Hyunsoo Cho, Sang-goo Lee, Taeuk Kim
arXiv 2025
Unified framework for evaluating LM behavior across knowledge conflict, distraction, and absence scenarios
Knowledge
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
arXiv 2024
Analyzing prompt-specific shortcut vulnerabilities in AI text detectors with attack and defense methods
Detection Safety
2026
ADVICE: Answer-Dependent Verbalized Confidence Estimation
Ki Jung Seo, Sehun Lim, Taeuk Kim
ACL 2026
Diagnosing answer-independent overconfidence in LLMs and proposing answer-grounded calibration
Confidence Reasoning Abstention
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
ACL 2026 Findings
6,144-question benchmark for balanced omni-modal multi-hop reasoning across text, vision, and speech
Multimodal Benchmark
Superficial Success vs. Internal Breakdown: An Empirical Study of Generalization in Adaptive Multi-Agent Systems
Namyoung So*, Seokgyu Jang*, Taeuk Kim
ACL 2026 Findings
Exposes topological overfitting and illusory coordination in adaptive MAS — accuracy decouples from actual collaboration quality across 6 domains
Safety Reasoning
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
ACL 2026 Findings
Combining single-vector efficiency with multi-vector accuracy for visually rich document retrieval
Information Retrieval Multimodal
Think Just Enough: Leveraging Self-Assessed Confidence for Adaptive Reasoning in Language Models
Junyeob Kim, Sang-goo Lee, Taeuk Kim
EACL 2026 Findings
Efficient adaptive reasoning by leveraging self-assessed confidence in language models
Efficiency Confidence Abstention
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
LAK 2026
NLP-based tool development for analyzing science classroom discourse
Domain LLM
2025
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
EMNLP 2025
TACT dataset for modeling natural transitions between task-oriented and chitchat dialogues
Dialogue
MAGIC: A Multi-Hop and Graph-Based Benchmark for Inter-Context Conflicts in RAG
Jungyeon Lee, Kangmin Lee, Taeuk Kim
EMNLP 2025 Findings
Knowledge graph-based benchmark for evaluating inter-context conflicts in RAG systems
RAG Knowledge Benchmark
Memorization or Reasoning? Exploring the Idiom Understanding of LLMs
Jisu Kim, Youngwoo Shin, Uiji Hwang, Jihun Choi, Richeng Xuan, Taeuk Kim
EMNLP 2025
Analyzing idiom understanding in LLMs across 6 languages: memorization vs. reasoning
Benchmark Knowledge Multilingual
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
EMNLP 2025
Challenging the assumption that localized parameter updates enable effective knowledge unlearning
Unlearning Safety
FCMR: Robust Evaluation of Financial Cross-Modal Multi-Hop Reasoning
Seunghee Kim, Changhyeon Kim, Taeuk Kim
ACL 2025
Benchmark for cross-modal multi-hop reasoning across text, tables, and charts in finance
Multimodal Benchmark
When to Speak, When to Abstain: Contrastive Decoding with Abstention
Hyuhng Joon Kim, Youna Kim, Sang-goo Lee, Taeuk Kim
ACL 2025
Studying when LLMs should answer vs. abstain using contrastive decoding
RAG Knowledge Reasoning
ENGinius: A Bilingual LLM Optimized for Plant Construction Engineering
Wooseong Lee, Minseo Kim, Taeil Hur, Gyeong Hwan Jang, Woncheol Lee, Maro Na, Taeuk Kim
ACL 2025 Industry
Bilingual LLM specialized for plant construction engineering
Domain LLM
KGMEL: Knowledge Graph-Enhanced Multimodal Entity Linking
Juyeon Kim, Geon Lee, Taeuk Kim, Kijung Shin
SIGIR 2025
Enhancing multimodal entity linking with knowledge graph structure
Knowledge Graph Multimodal Information Retrieval
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
Training language models with subgraph-aware contrastive learning for KG completion
Knowledge Graph Representation Learning
ESPRESSO: An Effective Approach to Passage Retrieval for High-Quality Conversational Recommender Systems
Taeho Kim, Hyeongjun Jang, Juwon Yu, Taeuk Kim, Hyunyoung Lee, Jihui Im, Sang-Wook Kim
AAAI 2025
Effective passage retrieval approach for high-quality conversational recommender systems
Information Retrieval Dialogue
RAISE: Enhancing Scientific Reasoning in LLMs via Step-by-Step Retrieval
Minhae Oh, Jeonghye Kim, Nakyung Lee, Donggeon Seo, Taeuk Kim, Jungwoo Lee
MATH-AI @ NeurIPS 2025
Step-by-step retrieval approach for enhancing scientific reasoning in LLMs
Reasoning RAG
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 2024 Findings
Adaptive contrastive decoding strategy based on retrieved context quality in RAG
RAG
Revisiting the Impact of Pursuing Modularity for Code Generation
Deokyeong Kang, Ki Jung Seo, Taeuk Kim
EMNLP 2024 Findings
Revisiting how pursuing modularity affects code generation performance
Reasoning Benchmark
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
Aligning language models to explicitly handle ambiguous queries
Knowledge Reasoning
Hyper-CL: Conditioning Sentence Representations with Hypernetworks
Young Hyun Yoo, Jii Cha, Changhyeon Kim, Taeuk Kim
ACL 2024
Conditioning sentence representations using hypernetwork-based contrastive learning
Representation Learning
Analysis of Multi-Source Language Training in Cross-Lingual Transfer
Seong Hoon Lim, Taejun Yun, Jinhyeon Kim, Jihun Choi, Taeuk Kim
ACL 2024
Analyzing multi-source language training strategies for cross-lingual transfer
Representation Learning
BlendX: Complex Multi-Intent Detection with Blended Patterns
Yejin Yoon, Jungyeon Lee, Kangsan Kim, Chanhee Park, Taeuk Kim
LREC-COLING 2024
Detecting complex multi-intent patterns within single utterances
Dialogue Benchmark
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 2023 Findings
Predicting cross-lingual transfer performance through sub-network similarity
Representation LearningMultilingual
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
EMNLP 2023 Findings
Robust handling of distributional shifts in NLP via universal domain adaptation
Representation LearningDetection
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
AAAI 2023
Scaling few-shot in-context learning beyond its limits with prompt-augmented linear probing
In-Context Learning
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, Sang-goo Lee, Taeuk Kim
EMNLP 2022
Deep analysis of why ground-truth labels matter in input-label demonstrations
In-Context Learning
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 2022 Findings
Enhancing OOD detection in NLU via implicit layer ensemble
Detection
Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Models
Taeuk Kim
COLING 2022
Revisiting practical effectiveness of constituency parse extraction from pre-trained LMs
Parsing & Syntax
2021 and Earlier
Multilingual Chart-based Constituency Parse Extraction from Pre-trained Language Models
Taeuk Kim, Bowen Li, Sang-goo Lee
EMNLP 2021 Findings
Chart-based multilingual constituency parse extraction from pre-trained language models
Parsing & SyntaxMultilingual
Self-Guided Contrastive Learning for BERT Sentence Representations
Taeuk Kim, Kang Min Yoo, Sang-goo Lee
ACL-IJCNLP 2021
Improving BERT sentence representations via self-guided contrastive learning
Representation Learning
Heads-up! Unsupervised Constituency Parsing via Self-Attention Heads
Bowen Li, Taeuk Kim, Reinald Kim Amplayo, Frank Keller
AACL-IJCNLP 2020
Unsupervised constituency parsing leveraging self-attention heads
Parsing & Syntax
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
Foundational lab work on grammar induction from pre-trained language models
Parsing & Syntax
Cell-aware Stacked LSTMs for Modeling Sentences
Jihun Choi, Taeuk Kim, Sang-goo Lee
ACML 2019
Improving sentence modeling with cell-aware stacked LSTMs
Representation Learning
Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja
Taeuk Kim, Kang Min Yoo, Sang-goo Lee
EMNLP-IJCNLP 2019
Enriching Korean word representations by leveraging Hanja (Chinese character) information
Representation Learning
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching
Jihun Choi, Taeuk Kim, Sang-goo Lee
ACL 2019
Semi-supervised text sequence matching using cross-sentence latent variable models
Representation Learning
Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag Representations
Taeuk Kim, Jihun Choi, Daniel Edmiston, Sanghwan Bae, Sang-goo Lee
AAAI 2019
Dynamic compositionality in recursive neural networks with structure-aware tag representations
Representation LearningParsing & Syntax
Element-wise Bilinear Interaction for Sentence Matching
Jihun Choi, Taeuk Kim, Sang-goo Lee
*SEM 2018
Sentence matching through element-wise bilinear interaction
Representation Learning
Journals
Administrative Decision-Making with Generative AI: The Challenge of Epistemic Boundedness
Yushim Kim, Jieun Kim, Taeuk Kim, Hee-Chan Cho
Administration & Society 2026
Examining epistemic boundedness challenges of generative AI in administrative decision-making
Domain LLM Reasoning
A Survey on Machine Unlearning for Large Language Models
Uiji Hwang, Taeuk Kim
KIISE 2025
Survey of machine unlearning techniques for large language models
Unlearning Safety
A Framework for Narrative Structure Analysis Using Automated Semantic Role Labeling in Korean Text
Eun Rang Kwon, Junmo Song, Donggeon Seo, Kangmin Lee, Taeuk Kim, Jeong-Han Kang
Korean Journal of Sociology 2025
Narrative structure analysis through automated Korean semantic role labeling
Parsing & Syntax Multilingual
Domestic Conferences
Reversal Curse in Idiomatic Tasks of Large Language Models
Jisu Kim, Taeuk Kim
KSC 2025
Exploring the reversal curse phenomenon in LLM idiomatic processing
Reasoning Multilingual
Enhancing Conversational Context Inference via Reasoning Feedback-Based Learning
Yuri Son, Taeuk Kim
HCLT 2025
Reasoning feedback-based learning for conversational context inference
Dialogue Reasoning
Learning Strategies to Improve Table Understanding and Explanation in Korean
Changhyeon Kim, Seunghee Kim, Taeuk Kim
HCLT 2024 🏆
Preprocessing and learning strategies for Korean table understanding (Best Paper Award)
Multilingual
Analysis of Language Models in Korean Program Synthesis Based on the KR-HumanEval Benchmark
Deokyeong Kang, Taeuk Kim
HCLT 2024 🏆
Benchmarking Korean program synthesis capabilities of language models (Best Paper Award)
Benchmark Multilingual
Multi-Intent Detection for Korean Spoken Language
Yejin Yoon*, Jisu Kim*, Jungmin Im, Jungyeon Lee, Taeuk Kim
KCC 2024
Multi-intent detection in Korean spoken language (Outstanding Paper Award)
Dialogue Multilingual
Enhanced Prompting for Multi-Label Classification
Jungyeon Lee, Youngwoo Shin, Yejin Yoon, Taeuk Kim
KCC 2024
Enhanced prompting techniques for multi-label classification
In-Context Learning
A Multi-Intent Dataset Enhanced with Implicit Concatenation
Sungmin So*, Jiwoo Min*, Yejin Yoon, Jungyeon Lee, Taeuk Kim
KCC 2024
Multi-intent dataset enhanced with ellipsis and coreference
Dialogue Benchmark
Korean Semantic Role Labeling with Machine Reading Comprehension
Kangmin Lee, Donggeon Seo, Eunrang Kwon, Junmo Song, Jeonghan Kang, Taeuk Kim
KCC 2024
Applying machine reading comprehension to Korean semantic role labeling
Parsing & Syntax Multilingual
Enhancing Sentence Representations with Common Error Analysis and Ensemble Techniques in Contrastive Learning
Jii Cha, Taeuk Kim
KSC 2023
Common error analysis and ensemble techniques for contrastive sentence representations
Representation Learning
Research on Features for Effective Cross-Lingual Transfer in Korean
Taejun Yun, Taeuk Kim
HCLT 2023
Investigating features for effective cross-lingual transfer in Korean
Multilingual
MAdapter: A Refinement of Adapters by Augmenting Efficient Middle Layers
Jinhyeon Kim, Taeuk Kim
HCLT 2023
Refining adapter architectures by augmenting efficient middle layers
Efficiency Representation Learning
Enhanced Zero-Shot Cross-Lingual Transfer with the Diversification of Source Languages
Seong Hoon Lim, Taeuk Kim
KCC 2023
Improving zero-shot cross-lingual transfer by diversifying source languages
Multilingual
Comparison and Analysis of Unsupervised Contrastive Learning Approaches for Korean Sentence Representations
Young Hyun Yoo, Kyumin Lee, Minjin Jeon, Jii Cha, Kangsan Kim, Taeuk Kim
HCLT 2022
Systematic comparison of unsupervised contrastive learning methods for Korean sentence embeddings
Representation Learning Multilingual
International Workshops
RAISE: Enhancing Scientific Reasoning in LLMs via Step-by-Step Retrieval
Minhae Oh, Jeonghye Kim, Nakyung Lee, Donggeon Seo, Taeuk Kim, Jungwoo Lee
MATH-AI @ NeurIPS 2025
Enhancing scientific reasoning in LLMs through step-by-step retrieval
Reasoning RAG
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
LPLM @ NAACL 2022
Leveraging auto-regressive LMs to generate their own in-context demonstrations
In-Context Learning
HYU at SemEval-2022 Task 2: Effective Idiomaticity Detection with Consideration at Different Levels of Contextualization
Youngju Joung, Taeuk Kim
SemEval 2022
Idiomaticity detection with multi-level contextualization
Representation Learning Multilingual
IDS at SemEval-2020 Task 10: Does Pre-trained Language Model Know What to Emphasize?
Jaeyoul Shin, Taeuk Kim, Sang-goo Lee
SemEval 2020
Exploring emphasis selection capabilities of pre-trained language models
Representation Learning
Summary Level Training of Sentence Rewriting for Abstractive Summarization
Sanghwan Bae, Taeuk Kim, Jihoon Kim, Sang-goo Lee
NewSum 2019
Training sentence rewriting at summary level for abstractive summarization
Representation Learning
SNU_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning Comprehension
Taeuk Kim, Jihun Choi, Sang-goo Lee
SemEval 2018
Contextualized sentence encoding for argument reasoning comprehension
Representation Learning Reasoning
A Syllable-based Technique for Word Embeddings of Korean Words
Sanghyuk Choi, Taeuk Kim, Jinseok Seol, Sang-goo Lee
SCLeM 2017
Syllable-based word embedding technique for Korean language
Representation Learning Multilingual

Hanyang University NLP Lab | nlp.hanyang.ac.kr

This page is based on information from the official lab website.