Research

Publications

221 papers across conferences, journals, and workshops.

Conference (118) Journals (37) Workshops (41) Domestic (25)

International Conference Proceedings

118 papers

ReflectCAP: Detailed Image Captioning with Reflective Memory

Kyungmin Min, Minbeom Kim, Kang-il Lee, Seunghyun Yoon, Kyomin Jung

ECCV 2026 September 2026 Malmö, Sweden
CausalArmor: Efficient Indirect Prompt Injection Guardrails via Causal Attribution

Minbeom Kim, Mihir Parmar, Phillip Wallis, Lesly Miculicich, Kyomin Jung, Krishnamurthy Dj Dvijotham, Long T. Le, and Tomas Pfister

ICML 2026 July 2026 Seoul, South Korea
Beyond Normalization: Rethinking the Partition Function as a Difficulty Scheduler for RLVR

Dohyung Kim, Minbeom Kim, Jeonghye Kim, Sangmook Lee, Sojeong Rhee, and Kyomin Jung

ICML 2026 July 2026 Seoul, South Korea
PEARL: Differentially Private and Entropy-Aware Regulated Language Generation

Seongho Joo, Hyukhun Koh, and Kyomin Jung

ICML 2026 July 2026 Seoul, South Korea
How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models

Minsung Kim, Dong-Kyum Kim, Jea Kwon, Nakyeong Yang, Kyomin Jung, and Meeyoung Cha

The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026) July 2026 San Diego, USA
Evaluating Visual Narrative Coherence in Story Visualization via Diversified Storylines

Minha Jhang, Kyeongman Park, Hyukhun Koh, and Kyomin Jung

The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026) oral July 2026 San Diego, USA
Reliability-Aware Adaptive Self-Consistency for Efficient Sampling in LLM Reasoning

Junseok Kim, Nakyeong Yang, Kyungmin Min, and Kyomin Jung

Findings of the Association for Computational Linguistics: ACL 2026 (Findings of ACL) July 2026 San Diego, USA
Rethinking Post-Unlearning Behavior of Large Vision-Language Models

Minsung Kim, Nakyeong Yang, and Kyomin Jung

Findings of the Association for Computational Linguistics: ACL 2026 (Findings of ACL) July 2026 San Diego, USA
A Universal Avoidance Method for Diverse Multi-branch Generation

Kyeongman Park, Minha Jhang, and Kyomin Jung

Findings of the Association for Computational Linguistics: ACL 2026 (Findings of ACL) July 2026 San Diego, USA
Erase or Hide? Suppressing Spurious Unlearning Neurons for Robust Unlearning

Nakyeong Yang, Dong-Kyum Kim, Jea Kwon, Minsung Kim, Kyomin Jung, and Meeyoung Cha

The Fourteenth International Conference on Learning Representations (ICLR 2026) April 2027 Rio de Janeiro, Brazil
Don't Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluation

Jiwon Moon, Yerin Hwang, Dongryeol Lee, Taegwan Kang, Yongil Kim, and Kyomin Jung

Findings of The 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026) March 2026 Rabat, Morocco
Persona Switch: Mixing Distinct Perspectives in Decoding Time

Junseok Kim, Nakyeong Yang, and Kyomin Jung

Findings of The 19th Conference of the European Chapter of the Association for Computational Linguistics (Findings of EACL 2026) March 2026 Rabat, Morocco
Confidence-Guided Stepwise Model Routing for Cost-Efficient Reasoning

Sangmook Lee*, Dohyung Kim*, Hyukhun Koh, Nakyeong Yang, and Kyomin Jung

The 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026) January 2026 Singapore
Persona is a Double-Edged Sword: Rethinking the Impact of Role-play Prompts in Zero-shot Reasoning Tasks

Junseok Kim, Nakyeong Yang, and Kyomin Jung

International Joint Conference on Natural Language Processing & Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL 2025) December 2025 Mumbai, India
Program Synthesis via Test-Time Transduction

Kang-il Lee, Jahyun Koo, Seunghyun Yoon, Minbeom Kim, Hyukhun Koh, Dongryeol Lee, and Kyomin Jung

The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025) December 2025 San Diego, CA, USA
Conditional [MASK] Discrete Diffusion Language Model

Hyukhun Koh*, Minha Jhang*, Dohyung Kim, Sangmook Lee, and Kyomin Jung

The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) November 2025 Suzhou, China
Avoidance Decoding for Diverse Multi-Branch Story Generation

Kyeongman Park, Nakyeong Yang, and Kyomin Jung

The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) November 2025 Suzhou, China
Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation

Yerin Hwang*, Dongryeol Lee*, Kyungmin Min, Taegwan Kang, Yongil Kim, and Kyomin Jung

The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) November 2025 Suzhou, China
FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge

Nakyeong Yang, Minsung Kim, Seunghyun Yoon, Joongbo Shin, and Kyomin Jung

The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) November 2025 Suzhou, China
Harmful Prompt Laundering: Jailbreaking LLMs with Abductive Styles and Symbolic Encoding

Seongho Joo, Hyukhun Koh, and Kyomin Jung

The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) November 2025 Suzhou, China
ReflAct: World-Grounded Decision Making in LLM Agents via Goal-State Reflection

Jeonghye Kim*, Sojeong Rhee*, Minbeom Kim, Dohyung Kim, Sangmook Lee, Youngchul Sung, and Kyomin Jung

The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) November 2025 Suzhou, China
Public Data Assisted Differentially Private In-Context Learning

Seongho Joo, Hyukhun Koh, and Kyomin Jung

Findings of The 2025 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2025) November 2025 Suzhou, China
Can You Trick the Grader? Adversarial Persuasion of LLM Judges

Yerin Hwang, Dongryeol Lee, Taegwan Kang, Yongil Kim, and Kyomin Jung

Findings of The 2025 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2025) November 2025 Suzhou, China
Drift: Decoding-time Personalized Alignments with Implicit User Preferences

Minbeom Kim, Kang-il Lee, Seongho Joo, Hwaran Lee, Thibaut Thonet, and Kyomin Jung

Findings of The 2025 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2025) November 2025 Suzhou, China
Unplug and Play Language Models: Decomposing Experts in Language Models at Inference Time

Nakyeong Yang, Jiwon Moon, Junseok Kim, Yunah Jang, and Kyomin Jung

The 34th ACM International Conference on Information and Knowledge Management (CIKM 2025) November 2025 Seoul, Korea
MultiActor-Audiobook: Zero-Shot Audiobook Generation with Faces and Voices of Multiple Speakers

Kyeongman Park, Seongho Joo, and Kyomin Jung

26th edition of the Interspeech Conference (InterSpeech 2025) August 2025 Rotterdam, The Netherlands
LLMs can be easily Confused by Instructional Distractions

Yerin Hwang, Yongil Kim, Jahyun Koo, Taegwan Kang, Hyunkyung Bae, and Kyomin Jung

The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) July 2025 Vienna, Austria
A Character-Centric Creative Story Generation via Imagination

Kyeongman Park, Minbeom Kim, and Kyomin Jung

The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) July 2025 Vienna, Austria
Guaranteed Generation from Large Language Models

Minbeom Kim, Thibaut Thonet, Jos Rozen, Hwaran Lee, Kyomin Jung, and Marc Dymetman

The Thirteenth International Conference on Learning Representations (ICLR 2025) April 2025 Singapore, Singapore
Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation

Dongryeol Lee*, Yerin Hwang*, Yongil Kim, Joonsuk Park, and Kyomin Jung

2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) Oral April 2025 New Mexico, USA
Generating Diverse Hypotheses for Inductive Reasoning

Kang-il Lee, Hyukhun Koh, Dongryeol Lee, Seunghyun Yoon, Minsung Kim, and Kyomin Jung

2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) Oral April 2025 New Mexico, USA
AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence

Minbeom Kim, Hwanhee Lee, Joonsuk Park, Hwaran Lee, and Kyomin Jung

2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) April 2025 New Mexico, USA
SWITCH: Studying with Teacher for Knowledge Distillation of Large Language Models

Jahyun Koo, Yerin Hwang, Yongil Kim, Taegwan Kang, Hyunkyung Bae, and Kyomin Jung

Findings of The 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (Findings of NAACL) April 2025 New Mexico, USA
VLind-Bench: Measuring Language Priors in Large Vision-Language Models

Kang-il Lee, Minbeom Kim, Seunghyun Yoon, Minsung Kim, Dongryeol Lee, Hyukhun Koh, and Kyomin Jung

Findings of The 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (Findings of NAACL) April 2025 New Mexico, USA
Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding

Kyungmin Min, Minbeom Kim, Kang-il Lee, Dongryeol Lee, and Kyomin Jung

Findings of The 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (Findings of NAACL) April 2025 New Mexico, USA
Return of EM: Entity-driven Answer Set Expansion for QA Evaluation

Dongryeol Lee, Minwoo Lee, Kyungmin Min, Joonsuk Park, and Kyomin Jung

The 31st International Conference on Computational Linguistics (COLING) Oral January 2025 Abu Dhabi, UAE code slide
Can LLMs Recognize Toxicity? A Structured Investigation Framework and Toxicity Metric

Hyukhun Koh, Dohyung Kim, Minwoo Lee, and Kyomin Jung

Findings of the The 2024 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP) November 2024 Miami, USA
MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs

Yerin Hwang, Yongil Kim, Yunah Jang, Jeesoo Bang, Hyunkyung Bae, and Kyomin Jung

The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) November 2024 Miami, USA
MVMR: A New Framework for Evaluating Faithfulness of Video Moment Retrieval against Multiple Distractors

Nakyeong Yang, Minsung Kim, Seunghyun Yoon, Joongbo Shin, and Kyomin Jung

33rd ACM International Conference on Information and Knowledge Management (CIKM) Oral October 2024 Boise, USA
Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination

Nakyeong Yang, Taegwan Kang, Jungkyu Choi, Honglak Lee, and Kyomin Jung

The 62nd Annual Meeting of the Association for Computational Linguistics (ACL) August 2024 Bangkok, Thailand
LifeTox: Unveiling Implicit Toxicity in Life Advice

Minbeom Kim, Jahyun Koo, Hwanhee Lee, Joonsuk Park, Hwaran Lee, and Kyomin Jung

2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) Oral June 2024 Mexico city, Mexico
Fine-grained Gender Control in Machine Translation with Large Language Models

Minwoo Lee, Hyukhun Koh, Minsung Kim, and Kyomin Jung

2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) June 2024 Mexico city, Mexico
IterCQR: Iterative Conversational Query Reformulation with Retrieval Guidance

Yunah Jang, Kang-il Lee, Hyunkyung Bae, Hwanhee Lee, and Kyomin Jung

2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) June 2024 Mexico city, Mexico
Kosmic: Korean Text Similarity Metric Reflecting Honorific Distinctions

Yerin Hwang, Yongil Kim, Hyunkyung Bae, Jeesoo Bang, Hwanhee Lee, and Kyomin Jung

The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING) May 2024 Italy
LongStory: Coherent, Complete and Length Controlled Long story Generation

Kyeongman Park, Nakyeong Yang, and Kyomin Jung

Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) Oral May 2024 Taipei, Taiwan
Boosting Speech Enhancement with Clean Self-Supervised Features via Conditional Variational Autoencoders

Yoonhyung Lee, and Kyomin Jung

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) April 2024 Korea
DPP-TTS: Diversifying prosodic features of speech via determinantal point processes

Seongho Joo, Hyukhun Koh, and Kyomin Jung

The 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 (EMNLP) December 2023 Singapore, Singapore
Weakly Supervised Semantic Parsing with Execution-based Spurious Program Filtering

Kang-il Lee, Segwang Kim, and Kyomin Jung

The 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 (EMNLP) December 2023 Singapore, Singapore
Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation

Minwoo Lee, Hyukhun Koh, Kang-il Lee, Dongdong Zhang, Minsung Kim, and Kyomin Jung

The 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 (EMNLP) December 2023 Singapore, Singapore
Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources

Yerin Hwang*, Yongil Kim*, Hyunkyung Bae, Hwanhee Lee, Jeesoo Bang, and Kyomin Jung

The 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 (EMNLP) December 2023 Singapore, Singapore
Asking Clarification Questions to Handle Ambiguity in Open-Domain QA

Dongryeol Lee*, Segwang Kim*, Minwoo Lee, Hwanhee Lee, Joonsuk Park, Sang-woo Lee, and Kyomin Jung

Findings of the Association for Computational Linguistics: EMNLP 2023 (Findings of EMNLP) December 2023 Singapore, Singapore code slide poster
PR-MCS: Perturbation Robust Metric for MultiLingual Image Captioning

Yongil Kim, Yerin Hwang, Hyeongu Yun, Seunghyun Yoon, Trung Bui, and Kyomin Jung

Findings of the Association for Computational Linguistics: EMNLP 2023 (Findings of EMNLP) December 2023 Singapore, Singapore
BREAK: Breaking the Dialogue State Tracking Barrier with Beam Search and Re-ranking

Seungpil Won, Heeyoung Kwak, Joongbo Shin, Janghoon Han, and Kyomin Jung

60th Annual Meeting of the Association for Computational Linguistics: ACL 2023 (ACL) July 2023 Toronto, Canada
Critic-Guided Decoding for Controlled Text Generation

Minbeom Kim, Hwanhee Lee, Kang Min Yoo, Joonsuk Park, Hwaran Lee, and Kyomin Jung

60th Annual Meeting of the Association for Computational Linguistics: ACL 2023 (ACL) spotlight July 2023 Toronto, Canada
Injecting Comparison Skills in Task-Oriented Dialogue Systems for Database Search Results Disambiguation

Yongil Kim*, Yerin Hwang*, Joongbo Shin, Hyunkyung Bae, and Kyomin Jung

Findings of the Association for Computational Linguistics: ACL 2023 (Findings of ACL) July 2023 Toronto, Canada
Task-specific Compression for Multi-task Language Models using Attribution-based Pruning

Nakyeong Yang, Yunah Jang, Hwanhee Lee, Seohyeong Jeong, and Kyomin Jung

Findings of the Association for Computational Linguistics: EACL 2023 (Findings of EACL) May 2023 Dubrovnik, Croatia
Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking

Hwanhee Lee, Kang Min Yoo, Joonsuk Park, Hwaran Lee, and Kyomin Jung

Findings of the Association for Computational Linguistics: NAACL 2022 (Findings of NAACL) July 2022 Seattle, WA, USA code slide poster blog
Modality Alignment between Deep Representations for Effective Video-and-Language Learning

Hyeongu Yun*, Yongil Kim*, and Kyomin Jung

International Conference on Language Resources and Evaluation (LREC) June 2022 Marseille, France
VarianceFlow: High-quality and Controllable Text-to-Speech Using Variance Information via Normalizing Flow

Yoonhyung Lee, Jinhyeok Yang, and Kyomin Jung

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) May 2022 Singapore
Deriving Explainable Discriminative Attributes using Confusion about Counterfactual Class

Nakyeong Yang, Taegwan Kang, and Kyomin Jung

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Oral May 2022 Singapore
Subgraph Representation Learning With Hard Negative Samples for Inductive Link Prediction

Heeyoung Kwak, Hyunkyung Bae, and Kyomin Jung

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) May 2022 Singapore
Contrastive Learning for Context-aware Neural Machine Translation Using Coreference Information

Yongkeun Hwang, Hyeongu Yun, and Kyomin Jung

Sixth Conference on Machine Translation (WMT) November 2021 Punta Cana, Dominican Republic
QACE: Asking Questions to Evaluate an Image Caption

Hwanhee Lee, Thomas Scialom, Seunghyun Yoon, Franck Dernoncourt, and Kyomin Jung

Findings of the Association for Computational Linguistics: EMNLP 2021 (Findings of EMNLP) November 2021 Punta Cana, Dominican Republic code slide
RABERT: Relation-Aware BERT for Target-Oriented Opinion Words Extraction

Taegwan Kang, Minwoo Lee, Nakyeong Yang, and Kyomin Jung

30th ACM International Conference on Information and Knowledge Management (CIKM) November 2021 Virtual Conference
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models

Minwoo Lee, Seungpil Won, Juae Kim, Hwanhee Lee, Cheoneum Park, and Kyomin Jung

30th ACM International Conference on Information and Knowledge Management (CIKM) November 2021 Virtual Conference
UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning

Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Trung Bui, and Kyomin Jung

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) August 2021 Virtual Conference code slides poster
Entangled Bidirectional Encoder to Autoregressive Decoder for Sequential Recommendation

Taegwan Kang, Hwanhee Lee, Byeongjin Choe, and Kyomin Jung

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) July 2021 Virtual Conference
KPQA: A Metric for Generative Question Answering Using Keyphrase Weights

Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Joongbo Shin, and Kyomin Jung

Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) June 2021 Virtual Conference code slides poster
Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech

Yoonhyung Lee, Joongbo Shin, and Kyomin Jung

International Conference on Learning Representations (ICLR) April 2021 Virtual Conference
Neural Sequence-to-grid Module for Learning Symbolic Rules

Segwang Kim, Hyoungwook Nam, Joonyoung Kim, and Kyomin Jung

AAAI Conference on Artificial Intelligence (AAAI) February 2021 Virtual Conference code poster slides
Air Quality Prediction with 1-Dimensional Convolution and Attention on Multi-modal Features

Joonyoung Choi, Joonyoung Kim, and Kyomin Jung

IEEE International Conference on Big Data and Smart Computing (BigComp) February 2021 Jeju Island, Korea
Multimodal Speech Emotion Recognition using Cross Attention with Aligned Audio and Text

Yoonhyung Lee, Seunghyun Yoon, and Kyomin Jung

Interspeech October 2020 Shanghai, China
Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning

Joongbo Shin, Yoonhyung Lee, Seunghyun Yoon, and Kyomin Jung

Annual Meeting of the Association for Computational Linguistics (ACL) July 2020 Seattle, WA, USA code
Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks

Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, and Kyomin Jung

International Conference on Language Resources and Evaluation (LREC) May 2020 Marseille, France
STAR: Spatio-Temporal Prediction of Air Quality Using A Multimodal Approach

Tien-Cuong Bui, Joonyoung Kim, Taewoo Kang, Donghyeon Lee, JunYoung Choi, Insoon Yang, Kyomin Jung, and Sang Kyun Cha

Intelligent Systems Conference (IntelliSys) September 2020 Amsterdam, Netherlands
Reliable Aggregation Method for Vector Regression Tasks in Crowdsourcing

Joonyoung Kim, Donghyeon Lee, and Kyomin Jung

Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) May 2020 Singapore
Drug-disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data

Heeyoung Kwak, Minwoo Lee, Seunghyun Yoon, Jooyoung Chang, Sangmin Park, and Kyomin Jung

Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) May 2020 Singapore
Attentive Modality Hopping Mechanism for Speech Emotion Recognition

Seunghyun Yoon, Subhadeep Dey, Hwanhee Lee, and Kyomin Jung

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Oral May 2020 Barcelona, Spain
Improving Context-Aware Neural Machine Translation Using Self-Attentive Sentence Embedding

Hyeongu Yun*, Yongkeun Hwang*, and Kyomin Jung

AAAI Conference on Artificial Intelligence (AAAI) January 2020 New York City, New York, USA
Effective Sentence Scoring Method Using BERT for Speech Recognition

Joongbo Shin, Yoonhyung Lee, and Kyomin Jung

Asian Conference on Machine Learning (ACML) November 2019 Nagoya, Japan
A Compare-Aggregate Model with Latent Clustering for Answer Selection

Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, and Kyomin Jung

ACM International Conference on Information and Knowledge Management (CIKM) Oral November 2019 Beijing, China
Speech Emotion Recognition Using Multi-Hop Attention Mechanism

Seunghyun Yoon, Seokhyun Byun, Subhadeep Dey, and Kyomin Jung

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Oral May 2019 Brighton, UK
Neural networks for compressing and classifying speaker-independent paralinguistic signals

Seokhyun Byun, Seunghyun Yoon, and Kyomin Jung

IEEE International Conference on Big Data and Smart Computing (BigComp) February 2019 Kyoto, Japan
Improving Neural Question Generation using Answer Separation

Yanghoon Kim, Hwanhee Lee, Joongbo Shin, and Kyomin Jung

AAAI Conference on Artificial Intelligence (AAAI) January 2019 Honolulu, Hawaii, USA
Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder

Seunghyun Yoon*, Kunwoo Park*, Joongbo Shin, Hongjun Lim, Seungpil Won, Meeyoung Cha, and Kyomin Jung

AAAI Conference on Artificial Intelligence (AAAI) Oral January 2019 Honolulu, Hawaii, USA
Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks

Hyoungwook Nam, Segwang Kim, and Kyomin Jung

AAAI Conference on Artificial Intelligence (AAAI) Oral January 2019 Honolulu, Hawaii, USA poster slides
Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic Clustering

Seunghyun Yoon, Joongbo Shin, and Kyomin Jung

Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) June 2018 New Orleans, LA, USA
Multi-scale Nystrom Method

Woosang Lim, Bo Dai, Rundong Du, Kyomin Jung, Le Song, and Haesun Park

International Conference on Artificial Intelligence and Statistics(AISTATS) Oral April 2018
Contextual-CNN: A Novel Architecture Capturing Unified Meaning for Sentence Classification

Joongbo Shin, Yanghoon Kim, Seunghyun Yoon, and Kyomin Jung

IEEE International Conference on Big Data and Smart Computing(BigComp) January 2018 Shanghai, China
Synonym Discovery with Etymology-based Word Embeddings

Seunghyun Yoon, Pablo Estrada, and Kyomin Jung

IEEE Syposium Series on Computational Intelligence (SSCI) November 2017 Hawaii, USA
Automatic Question Answering System for Consumer Products

Seunghyun Yoon, Mohan Sundar, Abhishek gupta, and Kyomin Jung

the SAI Intelligent Systems Conference (IntelliSys) September 2016 London, UK
Knowledge extraction through etymological networks: Synonym discovery in sino-korean words

Pablo Estrada, and Kyomin Jung

the 5th International conference on Information and Knowledge Management (ICIKM) July 2016 Beijing, China
Minimizing Expected Losses in Perturbation Models with Multidimensional Parametric Min-cuts

Adrian Kim, Kyomin Jung, Yongsub Lim, Daniel Tarlow, and Pushmeet Kohli

Conference on Uncertainty in Artificial Intelligence (UAI) July 2015 Amsterdam, Netherlands
Double Nystrom Method: An Efficient and Accurate Nystrom Scheme for Large-Scale Data Sets

Woosang Lim, Minhwan Kim, Haesun Park, and Kyomin Jung

International Conference on Machine Learning (ICML) July 2015 Lille, France
Reliable Multiple-choice Iterative Algorithm for Crowdsourcing Systems

Donghyeon Lee, Joonyoung Kim, Hyunmin Lee, and Kyomin Jung

ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) June 2015 Portland, OR, USA
LinkSCAN*: Overlapping Community Detection Using the Link-Space Transformation

Sungsu Lim, Seungwoo Ryu, Sejeong Kwon, Kyomin Jung, and Jae-Gil Lee

IEEE International Conference on Data Engineering (ICDE) April 2014 Chicago, IL, USA
Modeling Multi-state Diffusion Process in Complex Networks: Theory and Applications

Yishi Lin, John C.S. Lui, Kyomin Jung, and Sungsu Lim

International Conference on Signal Image Technology and Internet Based Systems (SITIS) December 2013 Kyoto, Japan
Prominent Features of Rumor Propagation in Online Social Media

Sejeong Kwon, Meeyoung Cha, Kyomin Jung, Wei Chen, and Yajun Wang

IEEE International Conference on Data Mining (ICDM) December 2013 Dallas, TX, USA
Aspects of Rumor Spreading on a Microblog Network

Sejeong Kwon, Meeyoung Cha, Kyomin Jung, Wei Chen, and Yajun Wang

The 5th International Conference on Social Informatics (SocInfo) November 2013 Kyoto, Japan
Decentralized Control for Intelligent Robot System to Avoid Moving Obstacles

Yongsub Lim, and Kyomin Jung

International Conference on Intelligent Systems, Modeling and Simulation (ISMS) January 2013 Thailand
IRIE: Scalable and Robust Influence Maximization in Social Networks

Kyomin Jung, Wooram Heo, and Wei Chen

IEEE International Conference on Data Mining (ICDM) December 2012 Brussels, Belgium code
Distributed Ranking in Networks with Limited Memory and Communication

Kyomin Jung, Bo Young Kim, and Milan Vojnovic

IEEE International Symposium on Information Theory (ISIT) July 2012 Cambridge, MA, USA
Stability of the Max-Weight Protocol in Adversarial Wireless Networks

Sungsu Lim, Kyomin Jung, and Matthew Andrews

IEEE International Conference on Computer Communications (INFOCOM) March 2012 Orlando, FL, USA
Energy Minimization Under Constraints on Label Counts

Yongsub Lim, Kyomin Jung, and Pushmeet Kohli

European Conference on Computer Vision (ECCV) September 2010 Crete, Greece
Lower Bounds for Local Monotonicity Reconstruction from Transitive-Closure Spanners

Arnab Bhattacharyya, Elena Grigorescu, Madhav Jha, Kyomin Jung, Sofya Raskhodnikova, and David Woodruff

International Workshop on Randomization and Computation (RANDOM) September 2010 Barcelona, Spain
Scene Text Extraction with Edge Constraint and Text Collinearity

SeongHun Lee, Min Su Cho, Kyomin Jung, and Jin Hyung Kim

International Conference on Pattern Recognition (ICPR) August 2010 Istanbul, Turkey
Coalitional Structure Generation in Skill Games

Yoram Bachrach, Reshef Meir, Kyomin Jung, and Pushmeet Kohli

Proceedings AAAI-10 July 2010 Atlanta, USA
Local Rules for Global MAP: When Do They Work ?

Kyomin Jung, Pushmeet Kohli, and Devavrat Shah

Annual Conference on Neural Information Processing Systems (NIPS) December 2009 Vancouver, Canada
Transitive-Closure Spanners of the Hypercube and the Hypergrid

Arnab Bhattacharyya, Elena Grigorescu, Kyomin Jung, Sofya Raskhodnikova, and David Woodruff

Electronic Colloquium on Computational Complexity (ECCC), TR09-046 May 2009
Computing the Capacity Region of a Wireless Network

Ramakrishna Gummadi, Kyomin Jung, Devavrat Shah, and Ramavarapu Sreenivas

IEEE International Conference on Computer Communications (INFOCOM) April 2009 Rio De Janeiro, Brazil
Transitive-Closure Spanners

Arnab Bhattacharyya, Elena Grigorescu, Kyomin Jung, Sofya Raskhodnikova, and David Woodruff

ACM-SIAM Symposium on Discrete Algorithms (SODA) January 2009 New York, NY, USA
Almost Tight Upper Bound for Finding Fourier Coefficients of Bounded Pseudo-Boolean Functions

Sung-soon Choi, Kyomin Jung, and Jeong Han Kim

The Annual Conference on Learning Theory (COLT) July 2008 Helsinki, Finland
Revisiting Stochastic Loss Networks: Structures and Algorithms

Kyomin Jung, Yingdong Lu, Devavrat Shah, Mayank Sharma, and Mark S. Squillante

ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) June 2008 Annapolis, ML, USA
Feasible Rate Allocation in Wireless Networks

Ramakrishna Gummadi, Kyomin Jung, Devavrat Shah, and Ramavarapu Sreenivas

IEEE International Conference on Computer Communications (INFOCOM) April 2008 Phoenix AZ, USA
Local Algorithms for Approximate Inference in Minor-Excluded Graphs

Kyomin Jung, and Devavrat Shah

Annual Conference on Neural Information Processing Systems (NIPS) December 2007 Vancouver, Canada
Low Delay Scheduling in Wireless Network

Kyomin Jung, and Devavrat Shah

IEEE International Symposium on Information Theory (ISIT) June 2007 Nice, France. Full Version
Stability of the Max-Weight Routing and Scheduling Protocol in Dynamic Networks and at Critical Loads

Matthew Andrews, Kyomin Jung, and Alexander Stolyar

ACM Symposium on Theory of Computing (STOC) June 2007 San Diego, USA
Phase Transition in a Random NK Landscape Model

Sung-Soon Choi, Kyomin Jung, and Jeong Han Kim

ACM Genetic and Evolutionary Computation Conference (GECCO) June 2005 Washington DC, USA

Journal Publications

37 papers

Leveraging VQ-VAE Tokenization for Autoregressive Modeling of Medical Time Series

(SCIE) Yoonhyung Lee, Younhyung Chae, and Kyomin Jung

AI in Medicine August 2024
adaStride: Using Time Adaptive Strides in Audio Data for Effective Downsampling

(SCIE) Yoonhyung Lee, and Kyomin Jung

Computer Speech and Langauge January 2025
Automatic Extraction of Comprehensive Drug Safety Information from Adverse Drug Event Narratives in the Korea Adverse Event Reporting System Using Natural Language Processing Techniques

(SCIE) Siun Kim, Taegwan Kang, Tae Kyu Chung, Yoona Choi, YeSol Hong, Kyomin Jung, and Howard Lee

Drug Safety June 2023
Gated Relational Encoder-Decoder Model for Target-Oriented Opinion Word Extraction

(SCIE) Taegwan Kang, Segwang Kim, Hyeongu Yun, Hwanhee Lee, and Kyomin Jung

IEEE Access December 2022
Action-Driven Contrastive Representation for Reinforcement Learning

(SCIE) Minbeom Kim, Kyeongha Rho, Yong-duk Kim, and Kyomin Jung

PLOS ONE March 2022
Interpretable Disease Prediction Using Heterogeneous Patient Records with Self-Attentive Fusion Encoder

(SCI) Heeyoung Kwak, Jooyoung Chang, Byeongjin Choe, Sangmin Park, and Kyomin Jung

Journal of the American Medical Informatics Association July 2021
Context-aware Neural Machine Translation for Korean Honorific Expressions

(SCIE) Yongkeun Hwang, Yanghoon Kim, and Kyomin Jung

MDPI Electronics June 2021
Recommendation System with Hierarchical Recurrent Neural Network for Long-term Time Series

(SCIE) Byeongjin Choe, Taegwan Kang, and Kyomin Jung

IEEE Access May 2021
Partition-Merge: Distributed Inference and Modularity Optimization

(SCIE) Vincent Blondel, Kyomin Jung, Pushmeet Kohli, Devavrat Shah, and Seungpil Won

IEEE Access March 2021
Pairwise Context Similarity for Image Retrieval System using Variational Auto-Encoder

(SCIE) Hyeongu Yun, Yongil Kim, Taegwan Kang, and Kyomin Jung

IEEE Access February 2021
Learning to Detect Incongruence in News Headline and Body Text via a Graph Neural Network

(SCIE) Seunghyun Yoon, Kunwoo Park, Minwoo Lee, Taegyun Kim, Meeyoung Cha, and Kyomin Jung

IEEE Access February 2021
Analyzing and Controlling Inter-Head Diversity in Multi-Head Attention

(SCIE) Hyeongu Yun, Taegwan Kang, and Kyomin Jung

MDPI Applied Sciences February 2021
Compositional Generalization via Parsing Tree Annotation

(SCIE) Segwang Kim, Joonyoung Kim, and Kyomin Jung

IEEE Access January 2021 code
Homeostasis-Inspired Continual Learning: Learning to Control Structural Regularization

(SCIE) Joonyoung Kim, Hyowoon Seo, Wan Choi, and Kyomin Jung

IEEE Access January 2021
Improving Object Detection Quality by Incorporating Global Contexts via Self-Attention

(SCIE) Donghyeon Lee, Joonyoung Kim, and Kyomin Jung

MDPI Electronics January 2021
Iterative Learning for K-Approval Votes in Crowdsourcing Systems

(SCIE) Joonyoung Kim, Donghyeon Lee, and Kyomin Jung

MDPI Electronics January 2021
Collaborative Training of GANs in Continuous and Discrete Spaces for Text Generation

(SCIE) Yanghoon Kim, Seungpil Won, Seunghyun Yoon, and Kyomin Jung

IEEE Access December 2020
Comparative Studies on Machine Learning for Paralinguistic Signal Compression and Classification

(SCI) Seokhyun Byun*, Seunghyun Yoon*, and Kyomin Jung

Journal of Supercomputing June 2020
Efficient spread-size approximation of opinion spreading in general social networks

(SCI) Byeongjin Choe, Yishi Lin, Sungsu Lim, John C. S. Lui, and Kyomin Jung

Physical Review E November 2019
Revisiting Stochastic Loss Networks: Structures and Approximations

(SCIE) Kyomin Jung, Yingdong Lu, Devavrat Shah, Mayank Sharma, and Mark S Squillante

Mathematics of Operations Research May 2019
Mobile App Recommendation with Sequential App Usage Behavior Tracking

(SCIE) Yongkeun Hwang, Donghyeon Lee, and Kyomin Jung

Journal of Internet Technology (JIT) May 2019
Centrality Fairness: Measuring and Analyzing Structural Inequality of Online Social Network

(SCIE) Heeyoung Kwak, Joonyoung Kim, Yongsub Lim, Shin-Kap Han, and Kyomin Jung

Journal of Internet Technology (JIT) December 2017
Hierarchical Ordering with Partial Pairwise Hierarchical Relationships on the Macaque Brain Data Sets

(SCIE) Woosang Lim, Jungsoo Lee, Yongsub Lim, Doo-Hwan Bae, Haesun Park, Dae-Shik Kim, and Kyomin Jung

PLOS ONE May 2017
Rumor Detection over Varying Time Windows

(SCIE) Sejeong Kwon, Meeyoung Cha, and Kyomin Jung

PLOS ONE January 2017
Phase transitions for information diffusion in random clustered networks

(SCI) Sungsu Lim, Joongbo Shin, Namju Kwak, and Kyomin Jung

European Physical Journal B September 2016
Analysis of Information Diffusion for Threshold Models on Arbitary Networks

(SCI) Sungsu Lim, Inwoo Jung, Seulki Lee, and Kyomin Jung

European Physical Journal B June 2015
Modelling Multi-state Diffusion Process in Complex Networks: Theory and Applications

(SCIE) Yishi Lin, John C.S. Lui, Kyomin Jung, and Sungsu Lim

Journal of Complex Networks July 2014
Stability of the Max-Weight Protocol in Adversarial Wireless Networks

(SCI) Sungsu Lim, Kyomin Jung, and Matthew Andrews

IEEE Transactions on Networking, v.22, n.6 December 2014
Efficient Energy Minimization for Enforcing Label Statistics

(SCI) Yongsub Lim, Kyomin Jung, and Pushmeet Kohli

IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol.36, n.9 September 2014
Fully Distributed Algorithms for Minimum Delay Routing Under Heavy Traffic

(SCI) Sang-Woon Jeon, Kyomin Jung, and Hyunseok Chang

IEEE Transactions on Mobile Computing, v.13, n.5 May 2014
Transitive-Closure Spanners

(SCI) Arnab Bhattacharyya, Elena Grigorescu, Kyomin Jung, Sofya Raskhodnikova, and David Woodruff

SIAM J. on Computing (SICOMP) November 2012
Lower Bounds for Local Monotonicity Reconstruction from Transitive-Closure Spanners

(SCI) Arnab Bhattacharyya, Elena Grigorescu, Madhav Jha, Kyomin Jung, Sofya Raskhodnikova, and David Woodruff

SIAM J. on Discrete Math (SIDMA), v.26, n.2, 618-646 May 2012
Almost Tight Upper Bound for Finding Fourier Coefficients of Bounded Pseudo-Boolean Functions

(SCI) Sung-soon Choi, Kyomin Jung, and Jeong Han Kim

Journal of Computer and System Sciences (JCSS), v.77, n.6, 1039-1053 November 2011
Distributed Averaging Via Lifted Markov Chains

(SCI) Kyomin Jung, Devavrat Shah, and Jinwoo Shin

IEEE Transactions on Information Theory, v.56, n.1, 634-647 January 2010
A Local Decision Test for Sparse Polynomials

(SCI) Elena Grigorescu, Kyomin Jung, and Ronitt Rubinfeld

Information Processing Letters, v.110, n.20, 898-901 September 2010
Lower and Upper Bounds for Linkage Discovery

(SCI) Sung-soon Choi, Kyomin Jung, and Byung-Ro Moon

IEEE Transactions on Evolutionary Computation, v.13, n.2, 201-216 April 2009
Phase Transition in a Random NK Landscape Model

(SCI) Sung-Soon Choi, Kyomin Jung, and Jeong Han Kim

Artificial Intelligence 172(2-3): 179-203 February 2008

Workshops

41 papers

Are We Measuring Strategy or Phrasing? The Gap Between Surface- and Approach-Level Diversity in LLM Math Reasoning

Sangmook Lee , Minbeom Kim, Jeonghye Kim , Dohyung Kim , Sojeong Rhee , and Kyomin Jung

ICML 2026 AI for Math Workshop spotlight July 2026 Seoul, South Korea
Casual as an Anchor: Resolving Supervision Misalignment in Formality Transfer Dataset

Hyojeong Yu*, Hyukhun Koh*, Minsung Kim, and Kyomin Jung

CHI Workshop on Human-Centered Evaluation and Auditing of Language Models April 2026 Barcelona, Spain
Mitigating Hallucinations in LVLMs via Summary-Guided Decoding

Kyungmin Min, Minbeom Kim, Kang-il Lee, Dongryeol Lee, and Kyomin Jung

Neurips Workshop on Safe Generative AI December 2024 Vancouver, Canada
Enhancing Cross-Domain Generalization through Data Augmentation with Reduced Uncertainty

Yoonsang Lee*, Dongryeol Lee*, and Kyomin Jung

EMNLP Workshop on Argument Mining December 2023 Singapore, Singapore
Leveraging Ensemble Techniques and Metadata for Subjective Knowledge-grounded Conversational Systems

Seongho Joo*, Kang-il Lee*, Kyungmin Min*, Joongbo Shin, Janghoon Han, Seungpil Won, and Kyomin Jung

SIGDial 2023 Workshop on The Eleventh Dialog System Technology Challenge (DSTC11) September 2023 Prague, Czech Republic
Multi-View Zero-Shot Open Intent Induction from Dialogues: Multi Domain Batch and Proxy Gradient Transfer

Hyukhun Koh, Haesung Pyun, Nakyeong Yang, and Kyomin Jung

SIGDial 2023 Workshop on The Eleventh Dialog System Technology Challenge (DSTC11) September 2023 Prague, Czech Republic
Factual Error Correction for Abstractive Summaries Using Entity Retrieval

Hwanhee Lee, Cheoneum Park, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Juae Kim, and Kyomin Jung

EMNLP Workshop on Generation, Evaluation & Metrics (GEM) December 2022 Abu Dhabi, UAE
Improving Cross-modal Attention via Object Detection

Yongil Kim, Yerin Hwang, Seunghyun Yoon, Hyungu Yun, and Kyomin Jung

NeurIPS Workshop on All Things Attention: Bridging Different Perspectives on Attention December 2022 New Orleans, LA, USA
Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pre-trained Language Model

Yunah Jang, Dongryeol Lee, Hyung Joo Park, Taegwan Kang, Hwanhee Lee, Hyunkyung Bae, and Kyomin Jung

ACL Workshop on Document-grounded Dialogue and Conversational Question Answering (DialDoc) May 2022 Dublin, Ireland
Learning to Select Question-Relevant Relations for Visual Question Answering

Jaewoong Lee*, Heejoon Lee*, Hwanhee Lee, and Kyomin Jung

NAACL Workshop on Multimodal Artificial Intelligence (MAI) June 2021 Virtual
Relevance Similarity Scorer and Entity Guided Reranking for Knowledge Grounded Dialog System

Hyunkyung Bae, Minwoo Lee, Ahhyeon Kim, Hwanhee Lee, Cheongjae Lee, Cheoneum Park, Donghyeon Kim, and Kyomin Jung

AAAI Workshop on Dialog System Technology Challenge (DSTC) February 2021 Virtual
ViLBERTScore: Evaluating Image Caption Using Vision-and-Language BERT

Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, and Kyomin Jung

EMNLP Workshop on Evaluation and Comparison of NLP Systems (Eval4NLP) November 2020 Virtual
DSTC8-AVSD: Multimodal Semantic Transformer Network with Retrieval Style Word Generator

Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, and Kyomin Jung

AAAI Workshop on Dialog System Technology Challenge (DSTC) February 2020 New York City, NY, USA
Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre-trained Language Model

Jiin Nam, Seunghyun Yoon, and Kyomin Jung

ACL Workshop on BioNLP August 2019 Florence, Italy
MILAB at SemEval-2019 Task 3: Multi-View Turn-by-Turn Model for Context-Aware Sentiment Analysis

Yoonhyung Lee, Yanghoon Kim, and Kyomin Jung

NAACL Workshop on Semantic Evaluation(SemEval) June 2019 Minneapolis, MN, USA
Insensibility of Question Word Order in Visual Question Answering

Hwanhee Lee, and Kyomin Jung

NAACL Workshop on Shortcomings in Vision and Langauge (SiVL) June 2019 Minneapolis, MN, USA
Multimodal Speech Emotion Recognition using Audio and Text

Seunghyun Yoon, Seokhyun Byun, and Kyomin Jung

IEEE Workshop on Spoken Language Technology (SLT) December 2018 Athens, Greece
Comparative Studies of Detecting Abusive Language on Twitter

Younghun Lee, Seunghyun Yoon, and Kyomin Jung

EMNLP Workshop on Abusive Language Online November 2018 Brussels, Belgium
AttnConvnet at SemEval-2018-Task 1: Attention-based Convolutional Neural Networks for Multi-label Emotion Classification

Yanghoon Kim, Hwanhee Lee, and Kyomin Jung

NAACL Workshop on Semantic Evaluation(SemEval) June 2018 New Orleans, LA, USA
Multi-scale Nystrom Method

Woosang Lim, Rundong Du, Bo Dai, Kyomin Jung, Le Song, and Haesun Park

NIPS Workshop on Optimization for Machine Learning(OPT) December 2017 Long Beach CA, USA
Efficient Transfer Learning Schemes for Personalized Language Modeling using Recurrent Neural Network

Seunghyun Yoon, Hyeongu Yun, Yuna Kim, Gyu-tae Park, and Kyomin Jung

AAAI Workshop on Crowdsourcing, Deep Learning and Artificial Intelligence Agents February 2017 San Francisco CA, USA
Computing Expected Losses in Perturbation Models using Multidimensional Parametric Min-cuts

Adrian Kim, Kyomin Jung, Daniel Tarlow, and Pushmeet Kohli

NIPS Workshop on on Perturbations, Optimization, and Statistics(POS) December 2014 Montreal, Canada
Robust and Efficient Locality Sensitive Hashing for Nearest Neighbor Search in Large Data Sets

Byungkon Kang, and Kyomin Jung

NIPS Workshop on Big Learning (BigLearn) December 2012 Lake Tahoe, Nevada, USA
Phase Transitions for Information Spreading in Random Clustered Networks with Arbitrary Contact Rates

Sungsu Lim, Namju Kwak, and Kyomin Jung

Interdisciplinary Workshop on Information and Decision in Social Networks (WIDS) November 2012 MIT, Cambridge MA, USA
Generalized Mean-Field Approximation for Opinion Spreading in Social Networks

Sungsu Lim, and Kyomin Jung

Interdisciplinary Workshop on Information and Decision in Social Networks (WIDS) November 2012 MIT, Cambridge MA, USA
IRIE: Scalable and Robust Influence Maximization in Social Networks

Kyomin Jung, Wooram Heo, and Wei Chen

Interdisciplinary Workshop on Information and Decision in Social Networks (WIDS) November 2012 MIT, Cambridge MA, USA
Hierarchical Analysis in the Human Brain Connectivity Networks

Jungsoo Lee, Yongsub Lim, Woosang Lim, Kyomin Jung, and Dae-Shik Kim

Society for Neuroscience October 2012 New Orleans, USA
Phase Transitions for Information Spreading in Random Clustered Networks with Arbitrary Contact Rates

Sungsu Lim, Namju Kwak, and Kyomin Jung

2012 Workshop on Information in Networks (WIN) September 2012 New York NY, USA
Analysis of Information Diffusion on Threshold Models in Arbitrary Social Networks

Kyomin Jung, Seulki Lee, and Sungsu Lim

2012 Workshop on Information in Networks (WIN) September 2012 New York NY, USA
IRIE: Scalable and Robust Influence Maximization in Social Networks

Kyomin Jung, Wooram Heo, and Wei Chen

2012 Workshop on Information in Networks (WIN) September 2012 New York NY, USA
Tipping Point of Information Spreading in Random Clustered Networks with Heterogeneous Contact Rates

Sungsu Lim, and Kyomin Jung

The 3rd Workshop on Complex Networks (CompleNet) March 2012 Melbourne FL, USA
IRIE: A Scalable Influence Maximization Algorithm in Social Networks

Kyomin Jung, Wooram Heo, and Wei Chen

The 3rd Workshop on Complex Networks (CompleNet) March 2012 Melbourne FL, USA
Analysis of Tipping Points for Threshold Models on Arbitrary Networks

Hyuna Kim, Seulki Lee, and Kyomin Jung

The 3rd Workshop on Complex Networks (CompleNet) March 2012 Melbourne FL, USA
Constrained Discrete Optimization via Dual Space Search

Yongsub Lim, Kyomin Jung, and Pushmeet Kohli

NIPS Workshop on Discrete Optimization on Machine Learning (DISCML) December 2011 Granada, Spain
Scalable Kernel k-Means via Centroid Approximation

Byungkon Kang, Woosang Lim, and Kyomin Jung

NIPS Workshop on Big Learning (BigLearn) December 2011 Granada, Spain
Parsimonious Algorithms for Decentralized Ranking in Social Networks

Kyomin Jung, Boyoung Kim, and Milan Vojnovic

Interdisciplinary Workshop on Information and Decision in Social Networks (WIDS) May 2011 Cambridge, MA, USA
Analysis of Tipping Points in Social Networks for Diffusion of Innovations

Seulki Lee, Hyuna Kim, and Kyomin Jung

Interdisciplinary Workshop on Information and Decision in Social Networks (WIDS) May 2011 Cambridge, MA, USA
Fast and Slim Lifted Markov Chains

Kyomin Jung, Devavrat Shah, and Jinwoo Shin

Invited paper to the ALLERTON Conference on Communication, Control and Computing September 2007 Monticello IL, USA
Local Approximate Inference Algorithms

Kyomin Jung, and Devavrat Shah

Invited paper to the ALLERTON Conference on Communication, Control and Computing September 2007 Monticello IL, USA
Fast Gossip via Non-reversible Random walk

Kyomin Jung, and Devavrat Shah

Invited paper to the IEEE Information Theory Workshop (ITW) March 2006 Punta del Este, Uruguay
On Computationally Bounded Adversarial Capacity

Kyomin Jung, and Devavrat Shah

Invited paper to the Information Theory and Application Workshop (ITA) February 2006 San Diego, USA

Domestic Conference Proceedings

25 papers

Instructional Video 기반 멀티모달 절차 계획 생성 방식 비교

Junsu Park, Kyomin Jung

정보과학회 August 2026
Reference-Centric QA Evaluation Leveraging Contrastive Decoding

Dongryeol Lee, Kyungmin Min, Yerin Hwang, Joonsuk Park, and Kyomin Jung

정보과학회 December 2024
Self-Prompt Generation for Text Classification via Masked Language Modeling Ability

Minsung Kim, and Kyomin Jung

정보과학회 December 2023
KLIPScore: A Highly Human-Correlated Korean Image Captioning Metric

Yongil Kim, Yerin Hwang, Younhyung Chae, and Kyomin Jung

정보과학회 June 2023
Thinking Fast and Slow in Multimodal Emotion Recognition Task

Yerin Hwang, Younhyung Chae, Yongil Kim, and Kyomin Jung

정보과학회 June 2023
Reflecting dialogue and pretrained information into Multi Modal Emotion Recognition: Focusing on Text and Audio

Hyukhun Koh, Seongho Joo, and Kyomin Jung

정보과학회 June 2023
Enhancing Engagement in Persona-Grounded Dialogue Systems via Fine-grained Response Generation and Ranking

Yunah Jang, Yoonhyung Lee, Sungdong Kim, Hwaran Lee, and Kyomin Jung

정보과학회 June 2023
Improving Cross-modal Attention via Object detection

Yongil Kim, Hyeongu Yun, Yerin Hwang, and Kyomin Jung

정보과학회 June 2022
COVID-19 Severity Prediction Using Deep Transfer Learning

Yerin Hwang, Yongil Kim, and Kyomin Jung

정보과학회 June 2022
Emotional Text-to-Speech with Variational Autoencoder using a Multimodal Gaussian Prior

Sungho Joo, Yoonhyung Lee, and Kyomin Jung

정보과학회 June 2021
Evidence Retrieval toward an explainable model for Document Level Relation Extraction

Hyunkyung Bae, Hwanhee Lee, Minwoo Lee, and Kyomin Jung

정보과학회 June 2021
모달리티 정렬을 통한 비디오 질의 응답 시스템 개선

Yongil Kim, Hyeongu Yun, Seungpil Won, and Kyomin Jung

정보과학회 June 2021
표준국어대사전을 활용한 문장쌍 표현 모델 자기지도 학습 방법 연구

Taegwan Kang, Yanghoon Kim, and Kyomin Jung

정보과학회 June 2021
특징 벡터 다양화를 통한 cGANs의 데이터 증강 개선 연구

Sungyoon Kim, Joonbo Shin, Yoonhyung Lee, and Kyomin Jung

정보과학회 July 2020
맥락 정보 유사도를 활용한 이미지 피처 해싱

Hyeongu Yoon, Taegwan Kang, and Kyomin Jung

정보과학회 December 2019
문장 레벨 그래프 회선 신경망을 통한 텍스트 분류

Minwoo Lee, Yanghoon Kim, and Kyomin Jung

정보과학회 컴퓨팅의 실제 논문지 August 2019
딥러닝 기반의 미세먼지 농도 예측

Joonyoung Choi, Donghyeon Lee, Joonyoung Kim, and Kyomin Jung

정보과학회 June 2019
이미지 물체 위치탐색을위한 효율적인 크라우드소싱시스템

Joonyoung Kim, Donghyeon Lee, and Kyomin Jung

정보과학회 December 2018
준언어적 신호 압축 및 분류를 위한 심층 신경망

Seokhyun Byun, Seunghyun Yoon, and Kyomin Jung

정보과학회 December 2018
신장 결정나무를 이용한 비정형, 울음, 심장박동, 자기평가 신호 분류

Seokhyun Byun, Seunghyun Yoon, and Kyomin Jung

정보과학회 June 2018
언어 어원 정보를 활용한 단어 임베딩 기법을 통한 단어 유사도 계산 방법

Seunghyun Yoon, Pablo Estarda, and Kyomin Jung

정보과학회 June 2017
LSTM 언어모델 기반 한국어 문장 생성

Yanghoon Kim, Yongkeun Hwang, Taegwan Kang, and Kyomin Jung

한국통신학회논문지 May 2016
순환 신경망의 구조와 필기체 인식

Hyeongu Yoon, Dongseok Jung, and Kyomin Jung

정보과학회 September 2015
Social Network Big Data 분석 기법과 응용

Byeongjin Choe, Yongkeun Hwang, and Kyomin Jung

한국통신학회논문지 October 2014
소셜 네트워크 정보 확산 및 구조 분석을 위한 머신러닝 및 데이터 마이닝 기법

Byeongjin Choe, Yongkeun Hwang, and Kyomin Jung

정보과학회 July 2014

Publications

International Conference Proceedings

ReflectCAP: Detailed Image Captioning with Reflective Memory

PEARL: Differentially Private and Entropy-Aware Regulated Language Generation

Evaluating Visual Narrative Coherence in Story Visualization via Diversified Storylines

Reliability-Aware Adaptive Self-Consistency for Efficient Sampling in LLM Reasoning

A Universal Avoidance Method for Diverse Multi-branch Generation

Don't Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluation

Persona Switch: Mixing Distinct Perspectives in Decoding Time

Confidence-Guided Stepwise Model Routing for Cost-Efficient Reasoning

Persona is a Double-Edged Sword: Rethinking the Impact of Role-play Prompts in Zero-shot Reasoning Tasks

Program Synthesis via Test-Time Transduction

Conditional [MASK] Discrete Diffusion Language Model

Avoidance Decoding for Diverse Multi-Branch Story Generation

Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation

FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge

Harmful Prompt Laundering: Jailbreaking LLMs with Abductive Styles and Symbolic Encoding

ReflAct: World-Grounded Decision Making in LLM Agents via Goal-State Reflection

Public Data Assisted Differentially Private In-Context Learning

Can You Trick the Grader? Adversarial Persuasion of LLM Judges

Drift: Decoding-time Personalized Alignments with Implicit User Preferences

Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation

Generating Diverse Hypotheses for Inductive Reasoning

AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence

SWITCH: Studying with Teacher for Knowledge Distillation of Large Language Models

VLind-Bench: Measuring Language Priors in Large Vision-Language Models

Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding

Journal Publications

Leveraging VQ-VAE Tokenization for Autoregressive Modeling of Medical Time Series

adaStride: Using Time Adaptive Strides in Audio Data for Effective Downsampling