| 2026 | AAAI | Confidence-Guided Stepwise Model Routing for Cost-Efficient Reasoning. | Sangmook Lee, Dohyung Kim, Hyukhun Koh, Nakyeong Yang, Kyomin Jung |
| 2026 | ACL | Evaluating Visual Narrative Coherence in Story Visualization via Diversified Storylines. | Minha Jhang, Kyeongman Park, Hyukhun Koh, Kyomin Jung |
| 2026 | ACL | 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, Meeyoung Cha |
| 2026 | ACL | Rethinking Post-Unlearning Behavior of Large Vision-Language Models. | Minsung Kim, Nakyeong Yang, Kyomin Jung |
| 2026 | ACL | Reliability-Aware Adaptive Self-Consistency for Efficient Sampling in LLM Reasoning. | Junseok Kim, Nakyeong Yang, Kyungmin Min, Kyomin Jung |
| 2026 | ACL | A Universal Avoidance Method for Diverse Multi-branch Generation. | Kyeongman Park, Minha Jhang, Kyomin Jung |
| 2026 | EACL | Persona Switch: Mixing Distinct Perspectives in Decoding Time. | Junseok Kim, Nakyeong Yang, Kyomin Jung |
| 2026 | EACL | 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, Kyomin Jung |
| 2025 | ACL | LLMs can be easily Confused by Instructional Distractions. | Yerin Hwang, Yongil Kim, Jahyun Koo, Taegwan Kang, Hyunkyung Bae, Kyomin Jung |
| 2025 | ACL | A Character-Centric Creative Story Generation via Imagination. | Kyeongman Park, Minbeom Kim, Kyomin Jung |
| 2025 | CIKM | Unplug and Play Language Models: Decomposing Experts in Language Models at Inference Time. | Nakyeong Yang, Jiwon Moon, Junseok Kim, Yunah Jang, Kyomin Jung |
| 2025 | COLING | Return of EM: Entity-driven Answer Set Expansion for QA Evaluation. | Dongryeol Lee, Minwoo Lee, Kyungmin Min, Joonsuk Park, Kyomin Jung |
| 2025 | EMNLP | Can You Trick the Grader? Adversarial Persuasion of LLM Judges. | Yerin Hwang, Dongryeol Lee, Taegwan Kang, Yongil Kim, Kyomin Jung |
| 2025 | EMNLP | Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation. | Yerin Hwang, Dongryeol Lee, Kyungmin Min, Taegwan Kang, Yongil Kim, Kyomin Jung |
| 2025 | EMNLP | Harmful Prompt Laundering: Jailbreaking LLMs with Abductive Styles and Symbolic Encoding. | Seongho Joo, Hyukhun Koh, Kyomin Jung |
| 2025 | EMNLP | Public Data Assisted Differentially Private In-Context Learning. | Seongho Joo, Hyukhun Koh, Kyomin Jung |
| 2025 | EMNLP | Drift: Decoding-time Personalized Alignments with Implicit User Preferences. | Minbeom Kim, Kang-il Lee, Seongho Joo, Hwaran Lee, Thibaut Thonet, Kyomin Jung |
| 2025 | EMNLP | ReflAct: World-Grounded Decision Making in LLM Agents via Goal-State Reflection. | Jeonghye Kim, Sojeong Rhee, Minbeom Kim, Dohyung Kim, Sangmook Lee, Youngchul Sung, Kyomin Jung |
| 2025 | EMNLP | Conditional [MASK] Discrete Diffusion Language Model. | Hyukhun Koh, Minha Jhang, Dohyung Kim, Sangmook Lee, Kyomin Jung |
| 2025 | EMNLP | Avoidance Decoding for Diverse Multi-Branch Story Generation. | Kyeongman Park, Nakyeong Yang, Kyomin Jung |
| 2025 | EMNLP | FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge. | Nakyeong Yang, Minsung Kim, Seunghyun Yoon, Joongbo Shin, Kyomin Jung |
| 2025 | ICLR | Guaranteed Generation from Large Language Models. | Minbeom Kim, Thibaut Thonet, Jos Rozen, Hwaran Lee, Kyomin Jung, Marc Dymetman |
| 2025 | IJCNLP | Persona is a Double-Edged Sword: Rethinking the Impact of Role-play Prompts in Zero-shot Reasoning Tasks. | Junseok Kim, Nakyeong Yang, Kyomin Jung |
| 2025 | Interspeech | MultiActor-Audiobook: Zero-Shot Audiobook Generation with Faces and Voices of Multiple Speakers. | Kyeongman Park, Seongho Joo, Kyomin Jung |
| 2025 | NAACL | AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence. | Minbeom Kim, Hwanhee Lee, Joonsuk Park, Hwaran Lee, Kyomin Jung |
| 2025 | NAACL | SWITCH: Studying with Teacher for Knowledge Distillation of Large Language Models. | Jahyun Koo, Yerin Hwang, Yongil Kim, Taegwan Kang, Hyunkyung Bae, Kyomin Jung |
| 2025 | NAACL | 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, Kyomin Jung |
| 2025 | NAACL | Generating Diverse Hypotheses for Inductive Reasoning. | Kang-il Lee, Hyukhun Koh, Dongryeol Lee, Seunghyun Yoon, Minsung Kim, Kyomin Jung |
| 2025 | NAACL | VLind-Bench: Measuring Language Priors in Large Vision-Language Models. | Kang-il Lee, Minbeom Kim, Seunghyun Yoon, Minsung Kim, Dongryeol Lee, Hyukhun Koh, Kyomin Jung |
| 2025 | NAACL | Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding. | Kyungmin Min, Minbeom Kim, Kang-il Lee, Dongryeol Lee, Kyomin Jung |
| 2024 | ACL | Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination. | Nakyeong Yang, Taegwan Kang, Stanley Jungkyu Choi, Honglak Lee, Kyomin Jung |
| 2024 | CIKM | A New Framework for Evaluating Faithfulness of Video Moment Retrieval against Multiple Distractors. | Nakyeong Yang, Minsung Kim, Seunghyun Yoon, Joongbo Shin, Kyomin Jung |
| 2024 | COLING | Kosmic: Korean Text Similarity Metric Reflecting Honorific Distinctions. | Yerin Hwang, Yongil Kim, Hyunkyung Bae, Jeesoo Bang, Hwanhee Lee, Kyomin Jung |
| 2024 | EMNLP | MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs. | Yerin Hwang, Yongil Kim, Yunah Jang, Jeesoo Bang, Hyunkyung Bae, Kyomin Jung |
| 2024 | EMNLP | Can LLMs Recognize Toxicity? A Structured Investigation Framework and Toxicity Metric. | Hyukhun Koh, Dohyung Kim, Minwoo Lee, Kyomin Jung |
| 2024 | ICASSP | Boosting Speech Enhancement with Clean Self-Supervised Features Via Conditional Variational Autoencoders. | Yoonhyung Lee, Kyomin Jung |
| 2024 | NAACL | IterCQR: Iterative Conversational Query Reformulation with Retrieval Guidance. | Yunah Jang, Kang-il Lee, Hyunkyung Bae, Hwanhee Lee, Kyomin Jung |
| 2024 | NAACL | LifeTox: Unveiling Implicit Toxicity in Life Advice. | Minbeom Kim, Jahyun Koo, Hwanhee Lee, Joonsuk Park, Hwaran Lee, Kyomin Jung |
| 2024 | NAACL | Fine-grained Gender Control in Machine Translation with Large Language Models. | Minwoo Lee, Hyukhun Koh, Minsung Kim, Kyomin Jung |
| 2024 | PAKDD | LongStory: Coherent, Complete and Length Controlled Long Story Generation. | Kyeongman Park, Nakyeong Yang, Kyomin Jung |
| 2023 | ACL | Injecting Comparison Skills in Task-Oriented Dialogue Systems for Database Search Results Disambiguation. | Yongil Kim, Yerin Hwang, Joongbo Shin, Hyunkyung Bae, Kyomin Jung |
| 2023 | ACL | Critic-Guided Decoding for Controlled Text Generation. | Minbeom Kim, Hwanhee Lee, Kang Min Yoo, Joonsuk Park, Hwaran Lee, Kyomin Jung |
| 2023 | ACL | BREAK: Breaking the Dialogue State Tracking Barrier with Beam Search and Re-ranking. | Seungpil Won, Heeyoung Kwak, Joongbo Shin, Janghoon Han, Kyomin Jung |
| 2023 | EACL | Task-specific Compression for Multi-task Language Models using Attribution-based Pruning. | Nakyeong Yang, Yunah Jang, Hwanhee Lee, Seohyeong Jeong, Kyomin Jung |
| 2023 | EMNLP | Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation. | Minwoo Lee, Hyukhun Koh, Kang-il Lee, Dongdong Zhang, Minsung Kim, Kyomin Jung |
| 2023 | EMNLP | Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources. | Yerin Hwang, Yongil Kim, Hyunkyung Bae, Hwanhee Lee, Jeesoo Bang, Kyomin Jung |
| 2023 | EMNLP | DPP-TTS: Diversifying prosodic features of speech via determinantal point processes. | Seongho Joo, Hyukhun Koh, Kyomin Jung |
| 2023 | EMNLP | PR-MCS: Perturbation Robust Metric for MultiLingual Image Captioning. | Yongil Kim, Yerin Hwang, Hyeongu Yun, Seunghyun Yoon, Trung Bui, Kyomin Jung |
| 2023 | EMNLP | Asking Clarification Questions to Handle Ambiguity in Open-Domain QA. | Dongryeol Lee, Segwang Kim, Minwoo Lee, Hwanhee Lee, Joonsuk Park, Sang-Woo Lee, Kyomin Jung |
| 2023 | EMNLP | Weakly Supervised Semantic Parsing with Execution-based Spurious Program Filtering. | Kang-il Lee, Segwang Kim, Kyomin Jung |
| 2022 | ICASSP | Subgraph Representation Learning with Hard Negative Samples for Inductive Link Prediction. | Heeyoung Kwak, Hyunkyung Bae, Kyomin Jung |
| 2022 | ICASSP | Varianceflow: High-Quality and Controllable Text-to-Speech using Variance Information via Normalizing Flow. | Yoonhyung Lee, Jinhyeok Yang, Kyomin Jung |
| 2022 | ICASSP | Deriving Explainable Discriminative Attributes Using Confusion About Counterfactual Class. | Nakyeong Yang, Taegwan Kang, Kyomin Jung |
| 2022 | LREC | Modality Alignment between Deep Representations for Effective Video-and-Language Learning. | Hyeongu Yun, Yongil Kim, Kyomin Jung |
| 2022 | NAACL | Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking. | Hwanhee Lee, Kang Min Yoo, Joonsuk Park, Hwaran Lee, Kyomin Jung |
| 2021 | AAAI | Neural Sequence-to-grid Module for Learning Symbolic Rules. | Segwang Kim, Hyoungwook Nam, Joonyoung Kim, Kyomin Jung |
| 2021 | ACL | UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning. | Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Trung Bui, Kyomin Jung |
| 2021 | CIKM | RABERT: Relation-Aware BERT for Target-Oriented Opinion Words Extraction. | Taegwan Kang, Minwoo Lee, Nakyeong Yang, Kyomin Jung |
| 2021 | CIKM | CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models. | Minwoo Lee, Seungpil Won, Juae Kim, Hwanhee Lee, Cheon-Eum Park, Kyomin Jung |
| 2021 | EMNLP | QACE: Asking Questions to Evaluate an Image Caption. | Hwanhee Lee, Thomas Scialom, Seunghyun Yoon, Franck Dernoncourt, Kyomin Jung |
| 2021 | ICLR | Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech. | Yoonhyung Lee, Joongbo Shin, Kyomin Jung |
| 2021 | NAACL | KPQA: A Metric for Generative Question Answering Using Keyphrase Weights. | Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Joongbo Shin, Kyomin Jung |
| 2021 | SIGIR | Entangled Bidirectional Encoder to Autoregressive Decoder for Sequential Recommendation. | Taegwan Kang, Hwanhee Lee, Byeongjin Choe, Kyomin Jung |
| 2020 | AAAI | Improving Context-Aware Neural Machine Translation Using Self-Attentive Sentence Embedding. | Hyeongu Yun, Yongkeun Hwang, Kyomin Jung |
| 2020 | ACL | Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning. | Joongbo Shin, Yoonhyung Lee, Seunghyun Yoon, Kyomin Jung |
| 2020 | ICASSP | Attentive Modality Hopping Mechanism for Speech Emotion Recognition. | Seunghyun Yoon, Subhadeep Dey, Hwanhee Lee, Kyomin Jung |
| 2020 | Interspeech | Multimodal Speech Emotion Recognition Using Cross Attention with Aligned Audio and Text. | Yoonhyung Lee, Seunghyun Yoon, Kyomin Jung |
| 2020 | LREC | Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks. | Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Kyomin Jung |
| 2020 | PAKDD | Reliable Aggregation Method for Vector Regression Tasks in Crowdsourcing. | Joonyoung Kim, Donghyeon Lee, Kyomin Jung |
| 2020 | PAKDD | Drug-Disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data. | Heeyoung Kwak, Minwoo Lee, Seunghyun Yoon, Jooyoung Chang, Sang Min Park, Kyomin Jung |
| 2019 | AAAI | 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, Kyomin Jung |
| 2019 | AAAI | Improving Neural Question Generation Using Answer Separation. | Yanghoon Kim, Hwanhee Lee, Joongbo Shin, Kyomin Jung |
| 2019 | AAAI | Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks. | Hyoungwook Nam, Segwang Kim, Kyomin Jung |
| 2019 | ACML | Effective Sentence Scoring Method Using BERT for Speech Recognition. | Joonbo Shin, Yoonhyung Lee, Kyomin Jung |
| 2019 | CIKM | A Compare-Aggregate Model with Latent Clustering for Answer Selection. | Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Kyomin Jung |
| 2019 | ICASSP | Speech Emotion Recognition Using Multi-hop Attention Mechanism. | Seunghyun Yoon, Seokhyun Byun, Subhadeep Dey, Kyomin Jung |
| 2018 | AISTATS | Multi-scale Nystrom Method. | Woosang Lim, Rundong Du, Bo Dai, Kyomin Jung, Le Song, Haesun Park |
| 2018 | NAACL | Learning to Rank Question-Answer Pairs Using Hierarchical Recurrent Encoder with Latent Topic Clustering. | Seunghyun Yoon, Joongbo Shin, Kyomin Jung |
| 2017 | AAAI | Efficient Transfer Learning Schemes for Personalized Language Modeling using Recurrent Neural Network. | Seunghyun Yoon, Hyeongu Yun, Yuna Kim, Gyu-tae Park, Kyomin Jung |
| 2015 | ICML | Double Nystrm Method: An Efficient and Accurate Nystrm Scheme for Large-Scale Data Sets. | Woosang Lim, Minhwan Kim, Haesun Park, Kyomin Jung |
| 2015 | WWW | Deep Learning for the Web. | Kyomin Jung, Byoung-Tak Zhang, Prasenjit Mitra |
| 2015 | UAI | Minimizing Expected Losses in Perturbation Models with Multidimensional Parametric Min-cuts. | Adrian Kim, Kyomin Jung, Yongsub Lim, Daniel Tarlow, Pushmeet Kohli |
| 2015 | SIGMETRICS | Reliable Multiple-choice Iterative Algorithm for Crowdsourcing Systems. | Donghyeon Lee, Joonyoung Kim, Hyunmin Lee, Kyomin Jung |
| 2014 | ICDE | LinkSCAN*: Overlapping community detection using the link-space transformation. | Sungsu Lim, Seungwoo Ryu, Sejeong Kwon, Kyomin Jung, Jae-Gil Lee |
| 2013 | ICDM | Prominent Features of Rumor Propagation in Online Social Media. | Sejeong Kwon, Meeyoung Cha, Kyomin Jung, Wei Chen, Yajun Wang |
| 2012 | ICDM | IRIE: Scalable and Robust Influence Maximization in Social Networks. | Kyomin Jung, Wooram Heo, Wei Chen |
| 2012 | INFOCOM | Stability of the Max-Weight protocol in adversarial wireless networks. | Sungsu Lim, Kyomin Jung, Matthew Andrews |
| 2012 | ISIT | Distributed ranking in networks with limited memory and communication. | Kyomin Jung, Bo Young Kim, Milan Vojnovic |
| 2010 | AAAI | Coalitional Structure Generation in Skill Games. | Yoram Bachrach, Reshef Meir, Kyomin Jung, Pushmeet Kohli |
| 2010 | ECCV | Energy Minimization under Constraints on Label Counts. | Yongsub Lim, Kyomin Jung, Pushmeet Kohli |
| 2010 | ICPR | Scene Text Extraction with Edge Constraint and Text Collinearity. | Seonghun Lee, Min Su Cho, Kyomin Jung, Jin Hyung Kim |
| 2009 | INFOCOM | Computing the Capacity Region of a Wireless Network. | Ramakrishna Gummadi, Kyomin Jung, Devavrat Shah, Ramavarapu S. Sreenivas |
| 2009 | SODA | Transitive-closure spanners. | Arnab Bhattacharyya, Elena Grigorescu, Kyomin Jung, Sofya Raskhodnikova, David P. Woodruff |
| 2008 | COLT | Almost Tight Upper Bound for Finding Fourier Coefficients of Bounded Pseudo- Boolean Functions. | Sung-Soon Choi, Kyomin Jung, Jeong Han Kim |
| 2008 | INFOCOM | Feasible Rate Allocation in Wireless Networks. | Ramakrishna Gummadi, Kyomin Jung, Devavrat Shah, Ramavarapu S. Sreenivas |
| 2008 | SIGMETRICS | Revisiting stochastic loss networks: structures and algorithms. | Kyomin Jung, Yingdong Lu, Devavrat Shah, Mayank Sharma, Mark S. Squillante |
| 2007 | ISIT | Low Delay Scheduling in Wireless Network. | Kyomin Jung, Devavrat Shah |
| 2007 | STOC | Stability of the max-weight routing and scheduling protocol in dynamic networks and at critical loads. | Matthew Andrews, Kyomin Jung, Alexander L. Stolyar |
| 2006 | ITW | Fast Gossip via Non-reversible Random Walk. | Kyomin Jung, Devavrat Shah |
| 2005 | GECCO | Phase transition in a random NK landscape model. | Sung-Soon Choi, Kyomin Jung, Jeong Han Kim |