NAVER AI Lab

Full publication list of NAVER AI Lab

2026

1. Autiverse: Eliciting Autistic Adolescents' Daily Narratives through AI-guided Multimodal Journaling. Migyeong Yang (NAVER AI Lab), Kyungah Lee, Jinyoung Han (SKKU), SoHyun Park (NAVER Cloud), and Young-Ho Kim (NAVER AI Lab). ACM CHI 2026. [arXiv][Project][Video(English)][Video(Korean)]

2. LingoQ: Bridging the Gap between EFL Learning and Work through AI-Generated Work-Related Quizzes Yeonsun Yang, Sang Won Lee, Jean Y. Song, Sangdoo Yun, and Young-Ho Kim. ACM CHI 2026. [arXiv][Project][Video(English)][Video(Korean)]

3. "Having Lunch Now": Understanding How Users Engage with a Proactive Agent for Daily Planning and Self-Reflection. Adnan Abbas, Caleb Wohn, Arnav Jagtap, Eugenia H. Rho, Young-Ho Kim, and Sang Won Lee. ACM CHI 2026. [arXiv]

4. CHOIR: A Chatbot-mediated Organizational Memory Leveraging Communication in University Research Labs. Sangwook Lee, Adnan Abbas, Yan Chen, Young-Ho Kim, and Sang Won Lee. ACM CHI 2026 (Honorable Mention Award). [arXiv]

5. An Empirical Study to Understand How Students Use ChatGPT for Writing Essays. Andrew Jelson, Daniel Manesh, Alice Jang, Daniel Dunlap, Young-Ho Kim, and Sang Won Lee. ACM CHI 2026. [arXiv]

6. "Are we writing an advice column for Spock here?" Understanding Stereotypes in AI Advice for Autistic Users. Caleb Wohn, Buse Carik, Xiaohan Ding, Sang Won Lee, Young-Ho Kim, and Eugenia H. Rho. ACM CHI 2026. [arXiv]

7. ClearFairy: Capturing Creative Workflows through Decision Structuring, In-Situ Questioning, and Rationale Inference. Kihoon Son, DaEun Choi, Tae Soo Kim, Young-Ho Kim, Sangdoo Yun, and Juho Kim. ACM CHI 2026. [arXiv]

8. Exploring Learners' Expectations and Engagement When Collaborating with Constructively Controversial Peer Agents. Thitaree Tanprasert, Young-Ho Kim, Sidney S. Fels, and Dongwook Yoon. ACM CHI 2026. [arXiv]

9. MuCo: Multi-turn Contrastive Learning for Multimodal Embedding Model. Geonmo Gu, Byeongho Heo, Jaemyung Yu, Jaehui Hwang, Taekyung Kim, Sangmin Lee, HeeJae Jun, Yoohoon Kang, Sangdoo Yun, Dongyoon Han. CVPR 2026.

10. ChimeraLoRA: Multi-Head LoRA-Guided Synthetic Datasets. Hoyoung Kim, Minwoo Jang, Jabin Koo, Sangdoo Yun, Jungseul Ok. CVPR 2026.

11. Exploring Conditions for Diffusion models in Robotic Control. Heeseong Shin, Byeongho Heo, Dongyoon Han, Seungryong Kim, Taekyung Kim. CVPR 2026.

12. Which Concepts to Forget and How to Refuse? Decomposing Concepts for Continual Unlearning in Large Vision-Language Models. Hyundong Jin, Dongyoon Han, Eunwoo Kim. CVPR 2026.

13. Map the Flow: Revealing Hidden Pathways of Information in VideoLLMs. Minji Kim*, Taekyung Kim*, Bohyung Han. CVPR 2026.

14. CAMEO: Correspondence-Attention Alignment for Multi-View Diffusion Models. Minkyung Kwon (KAIST), Jinhyeok Choi (KAIST), Jiho Park (KAIST), Seonghu Jeon (KAIST), Jinhyuk Jang (KAIST), Junyoung Seo (KAIST), Minseop Kwak (KAIST), Jin-Hwa Kim^ (NAVER AI Lab, SNU AIIS), Seungryong Kim^ (KAIST). CVPR 2026. [arXiv][Project]

15. MoAI: Aligned Novel View Image and Geometry Synthesis via Cross-modal Attention Instillation. Min-Seop Kwak (KAIST), Junho Kim (NAVER AI Lab), Sangdoo Yun (NAVER AI Lab, SNU AIIS), Dongyoon Han (NAVER AI Lab, KAIST AI), Taekyoung Kim (NAVER AI Lab), Seungryong Kim^ (KAIST), Jin-Hwa Kim^ (NAVER AI Lab, SNU AIIS). ICLR 2026. [arXiv][Project]

16. MVCustom: Multi-View Customized Diffusion via Geometric Latent Rendering and Completion. Minjung Shin (Yonsei Univ.), Hyunin Cho (Yonsei Univ.), Sooyeon Go (Yonsei Univ.), Jin-Hwa Kim (NAVER AI Lab, SNU AIIS), Youngjung Uh (Yonsei Univ.). ICLR 2026. [arXiv][Project]

2025

1. KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction. Jang-Hyun Kim, Jinuk Kim, Sangwoo Kwon, Jae W. Lee, Sangdoo Yun (NAVER AI Lab), Hyun Oh Song. NeurIPS 2025 (Oral presentation).

2. C-SEO Bench: Does Conversational SEO Work? Haritz Puerto, Martin Gubri, Tommaso Green, Seong Joon Oh, Sangdoo Yun. NeurIPS 2025 (D&B track).

3. Token Bottleneck: One Token to Remember Dynamics. Taekyung Kim (NAVER AI Lab), Dongyoon Han (NAVER AI Lab), Byeongho Heo (NAVER AI Lab), Jeongeun Park, Sangdoo Yun (NAVER AI Lab). NeurIPS 2025.

4. Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models. Byeonghu Na (KAIST), Mina Kang (KAIST), Jiseok Kwak (KAIST), Minsang Park (KAIST), Jiwoo Shin (KAIST), SeJoon Jun (KAIST), Gayoung Lee (NAVER AI Lab), Jin-Hwa Kim (NAVER AI Lab, SNU AIIS), Il-chul Moon. NeurIPS 2025.

5. Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers. Tommaso Green, Martin Gubri, Haritz Puerto, Sangdoo Yun* (NAVER AI Lab), Seong Joon Oh*. EMNLP 2025.

6. A Unified Framework for Motion Reasoning and Generation in Human Interaction. Jeongeun Park (Korea Univ), Sungjoon Choi* (Korea Univ), Sangdoo Yun* (NAVER AI Lab). ICCV 2025.

7. OCK: Unsupervised Dynamic Video Prediction with Object-Centric Kinematics. Yeon-Ji Song (SNU), Suhyung Choi (SNU), Jaein Kim (SNU), Jin-Hwa Kim^ (NAVER AI Lab, SNU AIIS), Byoung-Tak Zhang^ (SNU). ICCV 2025.

8. StyleKeeper: Prevent Content Leakage via a Negative Visual Query Guidance. Jaeseok Jeong* (Yonsei Univ.), Junho Kim* (NAVER AI Lab), Gayoung Lee (NAVER AI Lab), Yunjey Choi (NAVER AI Lab), Youngjung Uh (Yonsei Univ.). ICCV 2025.

9. NegMerge: Consensual Weight Negation for Strong Machine Unlearning. Hyoseo Kim (Sogang Univ.), Dongyoon Han* (NAVER AI Lab), Junsuk Choe* (Sogang Univ.). ICML 2025.

10. Peri-LN: Revisiting Layer Normalization in the Transformer Architecture. Jeonghoon Kim (NAVER Cloud, KAIST), Byeongchan Lee (KAIST), Cheonbok Park (NAVER Cloud, KAIST), Yeontaek Oh (NAVER Cloud), Beomjun Kim (KAIST), Taehwan Yoo (NAVER Cloud), Seongjin Shin (NAVER Cloud), Dongyoon Han (NAVER AI Lab), Jinwoo Shin (KAIST), Kang Min Yoo (NAVER Cloud). ICML 2025.

11. Enhancing Creative Generation on Stable Diffusion-based Models. Jiyeon Han* (KAIST), Dahee Kwon* (KAIST), Gayoung Lee (NAVER AI Lab), Junho Kim^ (NAVER AI Lab), Jaesik Choi^ (KAIST). CVPR 2025.

12. Masking meets Supervision: A Strong Learning Alliance. Byeongho Heo (NAVER AI Lab), Taekyung Kim (NAVER AI Lab), Sangdoo Yun (NAVER AI Lab), Dongyoon Han (NAVER AI Lab). CVPR 2025.

13. AACessTalk: Fostering Communication between Minimally Verbal Autistic Children and Parents with Contextual Guidance and Card Recommendation. Dasom Choi (KAIST), SoHyun Park (NAVER Cloud), Young-Ho Kim (NAVER AI Lab). CHI 2025 (Best Paper Award).

14. ELMI: Interactive and Intelligent Sign Language Translation of Lyrics for Song Signing. Suhyeon Yoo (UToronto), Khai N. Truong (UToronto), Young-Ho Kim (NAVER AI Lab). CHI 2025.

15. ExploreSelf: Fostering User-driven Exploration and Reflection on Personal Challenges with Adaptive Guidance by Large Language Models. Inhwa Song (KAIST), SoHyun Park (NAVER Cloud), Sachin R. Pendse (GaTech), Jessica Lee Schleider (Northwestern), Munmun De Choudhury (GaTech), Young-Ho Kim (NAVER AI Lab). CHI 2025.

16. Understanding Public Agencies' Expectations and Realities of AI-Driven Chatbots for Public Health Monitoring. Eunkyung Jo (UC Irvine), Young-Ho Kim (NAVER AI Lab), Sang-Houn Ok (NAVER Cloud), Daniel A. Epstein (UC Irvine). CHI 2025.

17. Enhancing Pediatric Communication: The Role of an AI-Driven Chatbot in Facilitating Child-Parent-Provider Interaction. Woosuk Seo (UMich), Young-Ho Kim (NAVER AI Lab), Megan Tao Fan (UMich), Ji Eun Kim (UMich), Mark S. Ackerman (UMich), Sung Won Choi (UMich), Sun Young Park (UMich). CHI 2025.

18. Textoshop: Interactions Inspired by Drawing Software to Facilitate Text Editing. Damien Masson (UToronto), Young-Ho Kim (NAVER AI Lab), Fanny Chevalier (UToronto). CHI 2025.

19. Making the Write Connections: Linking Writing Support Tools with Writer Needs. Zixin Zhao (UToronto), Damien Masson (UToronto), Young-Ho Kim (NAVER AI Lab), Gerald Penn (UToronto), Fanny Chevalier (UToronto). CHI 2025.

20. "They Didn't Mean To": Leveraging The Diversity of Perspectives In LLM-Enhanced Subjective Decision-Making. Paula Akemi Aoyagui (UToronto), Kelsey Stemmler (UToronto), Sharon Ferguson (UToronto), Young-Ho Kim (NAVER AI Lab), Anastasia Kuzminykh (UToronto). CHI 2025.

21. Code-Switching Curriculum Learning for Multilingual Transfer in LLMs. Haneul Yoo, Cheonbok Park, Sangdoo Yun, Alice Oh, Hwaran Lee. ACL 2025 Findings.

22. MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models. Gio Paik (Theta One, Inc.), Geewook Kim (NAVER Cloud), Jinbae Im (NAVER Cloud). ACL 2025 Findings.

23. Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models. Jung Hyun Lee (NAVER Cloud), June Yong Yang (KAIST), Byeongho Heo (NAVER AI Lab), Dongyoon Han (NAVER AI Lab), Kyungsu Kim (SNU), Eunho Yang (KAIST), Kang Min Yoo (NAVER Cloud). ICLR 2025.

24. DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation. Changdae Oh (UW-Madison), Yixuan Li (UW-Madison), Kyungwoo Song* (Yonsei University), Sangdoo Yun* (NAVER AI Lab), Dongyoon Han* (NAVER AI Lab). ICLR 2025.

25. Morphing Tokens Draw Strong Masked Image Models. Taekyung Kim* (NAVER AI Lab), Byeongho Heo (NAVER AI Lab), Dongyoon Han* (NAVER AI Lab). ICLR 2025.

26. Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models. NAACL 2025 Findings.

27. MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty. Yongjin Yang, Haneul Yoo, Hwaran Lee. NAACL 2025.

28. Extract Free Dense Misalignment from CLIP. JeongYeon Nam (NAVER Cloud), Jinbae Im (NAVER Cloud), Wonjae Kim (NAVER AI Lab), Taeho Kil (NAVER Cloud). AAAI 2025.

29. CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions. Tae Soo Kim (KAIST), Yoonjoo Lee (KAIST), Yoonah Park (KAIST), Jiho Kim (KAIST), Young-Ho Kim (NAVER AI Lab), and Juho Kim (KAIST). CoLM 2025.

2024

1. Polyhedral Complex Derivation from Piecewise Trilinear Networks. Jin-Hwa Kim (NAVER AI Lab, SNU AIIS). NeurIPS 2024.

2. Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting. Junha Hyung (KAIST), Susung Hong (Korea University), Sungwon Hwang (KAIST), Jaeseong Lee (KAIST), Jaegul Choo* (KAIST), Jin-Hwa Kim* (NAVER AI Lab, SNU AIIS). NeurIPS 2024.

3. Diffusion Unlearning Optimization for Robust and Safe Text-to-Image Models. Yong-Hyun Park (SNU), Sangdoo Yun (NAVER AI Lab, SNU AIIS), Jin-Hwa Kim (NAVER AI Lab, SNU AIIS), Junho Kim (NAVER AI Lab), Geonhui Jang (Korea Univ.), Yonghyun Jeong (NAVER Cloud), Junghyo Cho* (SNU, KIAS), Gayoung Lee* (NAVER AI Lab). NeurIPS 2024.

4. A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective. Yeonsung Jung (KAIST), Jaeyun Song (KAIST), June Yong Yang (KAIST), Jin-Hwa Kim (NAVER AI Lab, SNU AIIS), Sung-Yub Kim (KAIST), Eunho Yang (KAIST). NeurIPS 2024.

5. Integrating Paralinguistics in Speech-Empowered Large Language Models for Natural Conversation. Heeseung Kim, Soonshin Seo, Kyeongseok Jeong, Ohsung Kwon, Soyoon Kim, Jungwhan Kim, Jaehong Lee, Eunwoo Song, Myungwoo Oh, Jung-Woo Ha (NAVER AI Lab), Sungroh Yoon, Kang Min Yoo. NeurIPS 2024.

6. Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study. Sangwon Jung, Sumin Yu, Sanghyuk Chun* (NAVER AI Lab), Taesup Moon*. NeurIPS 2024 (Datasets and Benchmarks track).

7. Towards Calibrated Robust Fine-Tuning of Vision-Language Models. Changdae Oh (UW-Madison), Hyesu Lim (KAIST), Mijoo Kim (CAU), Dongyoon Han (NAVER AI Lab), Sangdoo Yun (NAVER AI Lab), Jaegul Choo (KAIST), Alexander Hauptmann (CMU), Zhi-Qi Cheng (CMU), Kyungwoo Song (Yonsei Univ.). NeurIPS 2024.

8. Rethinking the Role of Proxy Rewards in Language Model Alignment. Sungdong Kim (NAVER AI Lab), Minjoon Seo (KAIST). EMNLP 2024.

9. Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback. Fatemeh Pesaran zadeh (SNU), Juyeon Kim (KAIST), Jin-Hwa Kim (NAVER AI Lab, SNU AIIS), Gunhee Kim (SNU). EMNLP 2024 (Oral).

10. DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs. Donghyun Kim* (NAVER CLOUD), Byeongho Heo (NAVER AI Lab), Dongyoon Han* (NAVER AI Lab). ECCV 2024.

11. HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts. Wonjae Kim (NAVER AI Lab), Sanghyuk Chun (NAVER AI Lab), Taekyung Kim (NAVER AI Lab), Dongyoon Han (NAVER AI Lab), Sangdoo Yun (NAVER AI Lab). ECCV 2024 (Oral).

12. Leveraging Temporal Contextualization for Video Action Recognition. Minji Kim (SNU), Dongyoon Han (NAVER AI Lab), Taekyung Kim* (NAVER AI Lab), Bohyung Han* (SNU). ECCV 2024.

13. Learning with Unmasked Tokens Drives Stronger Vision Learners. Taekyung Kim* (NAVER AI Lab), Sanghyuk Chun (NAVER AI Lab), Byeongho Heo (NAVER AI Lab), Dongyoon Han* (NAVER AI Lab). ECCV 2024.

14. Model Stock: All we need is just a few fine-tuned models. Dong-Hwan Jang (NAVER AI Lab), Sangdoo Yun* (NAVER AI Lab), Dongyoon Han* (NAVER AI Lab). ECCV 2024 (Oral).

15. Rotary Position Embedding for Vision Transformer. Byeongho Heo (NAVER AI Lab), Song Park (NAVER AI Lab), Dongyoon Han (NAVER AI Lab), Sangdoo Yun (NAVER AI Lab). ECCV 2024.

16. SeiT++: Masked Token Modeling Improves Storage-efficient Training. Minhyun Lee* (KAIST AI), Song Park* (NAVER AI Lab), Byeongho Heo (NAVER AI Lab), Dongyoon Han (NAVER AI Lab), Hyunjung Shim (KAIST AI). ECCV 2024.

17. Similarity of Neural Architectures Based on Input Gradient Transferability. Jaehui Hwang (Yonsei University), Dongyoon Han (NAVER AI Lab), Byeongho Heo (NAVER AI Lab), Song Park (NAVER AI Lab), Sanghyuk Chun* (NAVER AI Lab), Jong-Seok Lee* (Yonsei University). ECCV 2024.

18. The Explanation That Hits Home: The Characteristics of Verbal Explanations That Affect Human Perception in Subjective Decision-Making. Sharon Ferguson, Paula Akemi Aoyagui, Rimsha Rizvi, Young-Ho Kim (NAVER AI Lab), Anastasia Kuzminykh. CSCW 2024.

19. LangBridge: Multilingual Reasoning without Multilingual Supervision. Dongkeun Yoon, Joel Jang, Sungdong Kim (NAVER AI Lab), Seungone Kim, Minjoon Seo. ACL 2024.

20. Who Wrote this Code? Watermarking for Code Generation. Taehyun Lee, Seokhee Hong, Jaewoo Ahn, Ilgee Hong, Hwaran Lee (NAVER AI Lab), Sangdoo Yun (NAVER AI Lab), Jamin Shin, Gunhee Kim. ACL 2024.

21. Calibrating Large Language Models Using Their Generations Only. Dennis Thomas Ulmer, Martin Gubri (Parameter Lab), Hwaran Lee (NAVER AI Lab), Sangdoo Yun (NAVER AI Lab), Seong Joon Oh (Parameter Lab). ACL 2024.

22. DADA: Distribution-Aware Domain Adaptation of PLMs for Information Retrieval. Dohyeon Lee, Jongyoon Kim, Seung-Won Hwang, Joonsuk Park (NAVER AI Lab). ACL 2024.

23. KoBBQ: Korean Bias Benchmark for Question Answering. Jiho Jin, Jiseon Kim, Nayeon Lee, Haneul Yoo, Alice Oh, Hwaran Lee (NAVER AI Lab). ACL 2024 (TACL).

24. TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models. Jaewoo Ahn (SNU), Taehyun Lee (SNU), Junyoung Lim (SNU), Jin-Hwa Kim (NAVER AI Lab, SNU AIIS), Sangdoo Yun (NAVER AI Lab, SNU AIIS), Hwaran Lee (NAVER AI Lab), Gunhee Kim (SNU). ACL 2024 Findings.

25. KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge. Jiyoung Lee, Minwoo Kim, Seungho Kim, Junghwan Kim, Seunghyun Won, Hwaran Lee (NAVER AI Lab), Edward Choi. ACL 2024 Findings.

26. TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification. Martin Gubri (Parameter Lab), Dennis Thomas Ulmer, Hwaran Lee (NAVER AI Lab), Sangdoo Yun (NAVER AI Lab), Seong Joon Oh (Parameter Lab). ACL 2024 Findings.

27. Toward Interactive Regional Understanding in Vision-Large Language Models. Jungbeom Lee, Sanghyuk Chun* (NAVER AI Lab), Sangdoo Yun* (NAVER AI Lab). NAACL 2024.

28. LifeTox: Unveiling Implicit Toxicity in Life Advice. Minbeom Kim, Jahyun Koo, Hwanhee Lee, Joonsuk Park (NAVER AI Lab), Hwaran Lee (NAVER AI Lab), Kyomin Jung. NAACL 2024.

29. Language-only Efficient Training of Zero-shot Composed Image Retrieval. Geonmo Gu* (NAVER), Sanghyuk Chun* (NAVER AI Lab), Wonjae Kim (NAVER AI Lab), Yoohoon Kang (NAVER), Sangdoo Yun (NAVER AI Lab). CVPR 2024.

30. STELLA: Continual Audio-Video Pre-training with Spatio-Temporal Localized Alignment. Jaewoo Lee (KAIST), Jaehong Yoon (KAIST), Wonjae Kim (NAVER AI Lab), Yunji Kim (NAVER AI Lab), Sung Ju Hwang (KAIST). ICML 2024.

31. A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models. Taehong Moon (KRAFTON), Moonseok Choi (KAIST), EungGu Yun (KAIST), Jongmin Yoon (KAIST), Gayoung Lee (NAVER AI Lab), Jaewoong Cho (KRAFTON), Juho Lee (KAIST). ICML 2024.

32. Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs. Mingyu Kim (KAIST), Jun-Seong Kim (KAIST), Se-Young Yun (KAIST)*, Jin-Hwa Kim* (NAVER AI Lab, SNU AIIS). ICML 2024.

33. PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency. Yeonsung Jung (KAIST), Heecheol Yun (KAIST), Joonhyung Park (KAIST), Jin-Hwa Kim* (NAVER AI Lab, SNU AIIS), Eunho Yang* (KAIST). ICML 2024.

34. Vision-Language Generative Model for View-Specific Chest X-ray Generation. Hyungyung Lee (KAIST), Da Young Lee (Deep-in-Sight Co.), Wonjae Kim (NAVER AI Lab), Jin-Hwa Kim (NAVER AI Lab, SNU AIIS), Tackeun Kim (Seoul National Bundang Hospital), Jihang Kim (Seoul National Bundang Hospital), Leonard Sunwoo (Seoul National Bundang Hospital), Edward Choi (KAIST). CHIL 2024.

35. ChaCha: Leveraging Large Language Models to Prompt Children to Share Their Emotions about Personal Events. Woosuk Seo (Univ. of Michigan), Chanmo Yang (Wonkwang Univ. Hospital), Young-Ho Kim (NAVER AI Lab). CHI 2024.

36. MindfulDiary: Harnessing Large Language Model to Support Psychiatric Patients' Journaling. Taewan Kim (KAIST), Seolyeong Bae (GIST), Hyun Ah Kim (NAVER Cloud), Su-woo Lee (Wonkwang Univ. Hospital), Hwajung Hong (KAIST), Chanmo Yang (Wonkwang Univ. Hospital), Young-Ho Kim (NAVER AI Lab). CHI 2024.

37. Understanding the Impact of Long-Term Memory on Self-Disclosure with Large Language Model-Driven Chatbots for Public Health Intervention. Eunkyung Jo (UC Irvine), Yuin Jeong (NAVER Cloud), SoHyun Park (NAVER Cloud), Daniel A. Epstein (UC Irvine), Young-Ho Kim (NAVER AI Lab). CHI 2024.

38. DiaryMate: Understanding User Perceptions and Experience in Human-AI Collaboration for Personal Journaling. Taewan Kim (KAIST), Donghoon Shin (UW), Young-Ho Kim (NAVER AI Lab), Hwajung Hong (KAIST). CHI 2024.

39. GenQuery: Supporting Expressive Visual Search with Generative Models. Kihoon Son (KAIST), DaEun Choi (KAIST), Tae Soo Kim (KAIST), Young-Ho Kim (NAVER AI Lab), Juho Kim (KAIST). CHI 2024.

40. EvalLM: Interactive Evaluation of Large Language Model Prompts on User-Defined Criteria. Tae Soo Kim (KAIST), Yoonjoo Lee (KAIST), Jamin Shin (NAVER AI Lab), Young-Ho Kim (NAVER AI Lab), Juho Kim (KAIST). CHI 2024.

41. Compressed Context Memory for Online Language Model Interaction. Jang-Hyun Kim, Junyoung Yeom, Sangdoo Yun* (NAVER AI Lab), Hyun Oh Song*. ICLR 2024.

42. Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance. Giung Nam, Byeongho Heo (NAVER AI Lab), Juho Lee. ICLR 2024.

43. Bridging Vision and Language Spaces with Assignment Prediction. Jungin Park, Jiyoung Lee (NAVER AI Lab), Kwanghoon Sohn. ICLR 2024.

44. Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation. Junyoung Seo, Wooseok Jang, Min-Seop Kwak, Hyeonsu Kim, Jaehoon Ko, Junho Kim (NAVER AI Lab), Jin-Hwa Kim* (NAVER AI Lab), Jiyoung Lee* (NAVER AI Lab), Seungryong Kim*. ICLR 2024.

45. Prometheus: Inducing Evaluation Capability in Language Models. Seungwon Kim, Jamin Shin (NAVER AI Lab), Yejin Cho, Joel Jang, Shayne Longpre, Hwaran Lee (NAVER AI Lab), Sangdoo Yun (NAVER AI Lab), Sungjin Shin, Sungdong Kim, James Thron, Minjoon Seo. ICLR 2024.

46. SuRe: Improving Open-domain Question Answering of LLMs via Summarized Retrieval. Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha (NAVER AI Lab), Jinwoo Shin. ICLR 2024.

47. Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs. Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha (NAVER AI Lab), Jinwoo Shin. ICLR 2024.

48. What does automatic differentiation compute for neural networks? Sejun Park, Sanghyuk Chun (NAVER AI Lab), Wonyeol Lee. ICLR 2024 (Spotlight).

49. Improved Probabilistic Image-Text Representations. Sanghyuk Chun (NAVER AI Lab). ICLR 2024.

2023

1. ProPILE: Probing Privacy Leakage in Large Language Models. Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh. NeurIPS 2023.

2. Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data. Jang-Hyun Kim, Sangdoo Yun, Hyun Oh Song. NeurIPS 2023.

3. Switching Temporary Teachers for Semi-Supervised Semantic Segmentation. Jaemin Na, Jung-Woo Ha, Hyung Jin Chang, Dongyoon Han, Wonjun Hwang. NeurIPS 2023.

4. Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models. Geewook Kim, Hodong Lee, Daehee Kim, Haeji Jung, Sanghee Park, Yoonsik Kim, Sangdoo Yun, Taeho Kil, Bado Lee, Seunghyun Park. EMNLP 2023.

5. The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning. Seungone Kim, Se June Joo, Doyoung Kim, Joel Jang, Seonghyeon Ye, Jamin Shin, Minjoon Seo. EMNLP 2023.

6. Aligning Large Language Models through Synthetic Feedback. Sungdong Kim, Sanghwan Bae, Jamin Shin, Soyoung Kang, Donghyun Kwak, Kang Min Yoo, Minjoon Seo. EMNLP 2023.

7. Tree of Clarifications: Answering Ambiguous Questions with Large Language Models. Gangwoo Kim, Sungdong Kim, Byeong Guk Jeon, Joonsuk Park, and Jaewoo Kang. EMNLP 2023.

8. mRedditSum: A Multimodal Abstractive Summarization Dataset of Reddit Threads with Images. Keighley Overbay, Jaewoo Ahn, Fatemeh Pesaran Zadeh, Joonsuk Park, and Gunhee Kim. EMNLP 2023.

9. Relevance-aware Generation for Robust Zero-shot Retrieval. Jihyuk Kim, Minsoo Kim, Joonsuk Park and Seung-won Hwang. EMNLP 2023 (Industry track).

10. 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.

11. 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. EMNLP 2023 Findings.

12. Leveraging Large Language Models to Power Chatbots for Collecting User Self-Reported Data. Jing Wei (Univ of Melbourne), Sungdong Kim (NAVER AI Lab), Hyunhoon Jung (NAVER Cloud), Young-Ho Kim (NAVER AI Lab). PACM HCI (CSCW 2024).

13. BallGAN: 3D-aware Image Synthesis with a Spherical Background. Minjung Shin, Yunji Seo, Jeongmin Bae, Young Sun Choi, Hyunsu Kim, Hyeran Byun, Youngjung Uh. ICCV 2023.

14. 3D-aware Blending with Generative NeRFs. Hyunsu Kim, Gayoung Lee, Yunjey Choi, Jin-Hwa Kim, Jun-Yan Zhu. ICCV 2023.

15. Contextual, Discriminative, and Unbiased Compositional Zero-Shot Learning. Hanjae Kim (Yonsei), Jiyoung Lee, Seongheon Park (Yonsei), Kwanghoon Sohn (Yonsei). ICCV 2023.

16. Neglected Free Lunch - Learning Image Classifiers Using Annotation Byproducts. Dongyoon Han*, Junsuk Choe*, Seonghyeok Chun, John Joon Young Chung, Minsuk Chang, Sangdoo Yun, Jean Y Song, Seong Joon Oh. ICCV 2023.

17. Gramian Attention Heads are Strong yet Efficient Vision Learners. Jongbin Ryu*, Dongyoon Han*, Jongwoo Lim. ICCV 2023.

18. Generating Instance-level Prompts for Rehearsal-free Continual Learning. Dahuin Jung, Dongyoon Han, Jiwhan Bang, Hwanjun Song. ICCV 2023.

19. Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models. Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang. ICCV 2023.

20. Dense Text-to-Image Generation with Attention Modulation. Yunji Kim, Jiyoung Lee, Jin-Hwa Kim, Jung-Woo Ha, Jun-Yan Zhu. ICCV 2023.

21. Scratching Visual Transformer's Back with Uniform Attention. Nam Hyeon-Woo, Kim Yu-Ji, Byeongho Heo, Dongyoon Han, Seong Joon Oh, Tae-Hyun Oh. ICCV 2023.

22. SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage. Song Park, Sanghyuk Chun, Byeongho Heo, Wonjae Kim, Sangdoo Yun. ICCV 2023.

23. Designing a Direct Feedback Loop between Humans and Convolutional Neural Networks through Local Explanations. Tong Steven Sun (George Mason Univ), Yuyang Gao (Emory Univ), Shubham Khaladkar (George Mason Univ), Sijia Liu (Michigan State Univ), Liang Zhao (Emory Univ), Young-Ho Kim (NAVER AI Lab), Sungsoo Ray Hong (George Mason Univ). PACM HCI (CSCW 2023).

24. SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration. Hwaran Lee (NAVER AI Lab, NAVER Cloud), Seokhee Hong (SNU), Joonsuk Park (NAVER AI Lab, NAVER Cloud), Takyoung Kim (NAVER AI Lab, NAVER Cloud), Meeyoung Cha (KAIST), Yejin Choi (UW), Byoungpil Kim (KAIST), Gunhee Kim (SNU), Eun-Ju Lee (SNU), Yong Lim (SNU), Alice Oh (KAIST), Sangchul Park (SNU) and Jung-Woo Ha (NAVER AI Lab, NAVER Cloud). ACL 2023 (Best Paper Nominated).

25. Query-Efficient Black-Box Red Teaming via Bayesian Optimization. Deokjae Lee (SNU), JunYeong Lee (SNU), Jung-Woo Ha (NAVER AI Lab, NAVER Cloud), Jin-Hwa Kim (NAVER AI Lab, NAVER Cloud), Sang-Woo Lee (NAVER AI Lab, NAVER Cloud), Hwaran Lee (NAVER AI Lab, NAVER Cloud) and Hyun Oh Song (SNU). ACL 2023.

26. Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning. Kyuyong Shin (NAVER AX, NAVER Cloud), Hanock Kwak (NAVER AX, NAVER Cloud), Wonjae Kim (NAVER AI Lab, NAVER Cloud), Jisu Jeong (NAVER AX, NAVER Cloud), Seungjae Jung (NAVER AX, NAVER Cloud), Kyungmin Kim (NAVER AX, NAVER Cloud), Jung-Woo Ha (NAVER AI Lab, NAVER Cloud) and Sang-Woo Lee (NAVER AI Lab, NAVER Cloud). ACL 2023.

27. Gradient Ascent Post-training Enhances Language Model Generalization. Dongkeun Yoon (KAIST), Joel Jang (KAIST), Sungdong Kim (NAVER AI Lab/Cloud, KAIST) and Minjoon Seo (KAIST). ACL 2023.

28. MPCHAT: Towards Multimodal Persona-Grounded Conversation. Jaewoo Ahn (SNU), Yeda Song (SNU), Sangdoo Yun (NAVER AI Lab) and Gunhee Kim (SNU). ACL 2023.

29. BREAK: Breaking the Dialogue State Tracking Barrier with Beam Search and Re-ranking. Seunpgil Won (LG AI Research, SNU), Heeyoung Kwak (NAVER AI Lab, NAVER Digital Healthcare Lab), Joongbo Shin (LG AI Research), Janghoon Han (LG AI Research), Kyomin Jung* (SNU). ACL 2023.

30. Critic-Guided Decoding for Controlled Text Generation. Minbeom Kim (SNU), Hwanhee Lee (Chung-Ang Univ), Kang Min Yoo (NAVER AI Lab, NAVER Cloud), Joonsuk Park (NAVER AI Lab, NAVER Cloud, Univ of Richmond), Hwaran Lee* (NAVER AI Lab, NAVER Cloud) and Kyomin Jung* (SNU). ACL 2023 Findings.

31. ClaimDiff: Comparing and Contrasting Claims on Contentious Issues. Miyoung Ko (KAIST), Ingyu Seong (Samsung Research), Hwaran Lee (NAVER AI Lab, NAVER Cloud), Joonsuk Park (NAVER AI Lab, NAVER Cloud, Univ of Richmond), Minsuk Chang (Google Brain) and Minjoon Seo (KAIST). ACL 2023 Findings.

32. HyperT5: Towards Compute-Efficient Korean Language Modeling. Dongju Park* (NAVER CLOUD), Soonwon Ka* (NAVER CLOUD), Kang Min Yoo* (NAVER CLOUD, NAVER AI Lab), Gichang Lee (NAVER CLOUD) and Jaewook Kang (NAVER CLOUD). ACL 2023 (Industrial track).

33. KoSBI: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Applications. Hwaran Lee* (NAVER AI Lab, NAVER Cloud), Seokhee Hong* (SNU), Joonsuk Park (NAVER AI Lab, NAVER Cloud), Takyoung Kim (NAVER AI Lab), Gunhee Kim (SNU) and Jung-Woo Ha (NAVER AI Lab, NAVER Cloud). ACL 2023 (Industrial track).

34. Robust Camera Pose Refinement for Multi-Resolution Hash Encoding. Hwan Heo (Korea Univ), Taekyung Kim (NAVER AI Lab, NAVER Cloud), Jiyoung Lee (NAVER AI Lab, NAVER Cloud), Jaewon Lee (Korea Univ), Soohyun Kim (Korea Univ), Hyunwoo Kim (Korea Univ), Jin-Hwa Kim (NAVER AI Lab, NAVER Cloud). ICML 2023.

35. The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training. Gi-Cheon Kang (SNU), Sungdong Kim (NAVER AI Lab, NAVER Cloud), Jin-Hwa Kim (NAVER AI Lab, NAVER Cloud), Donghyun Kwak (NAVER Cloud), Byoung-Tak Zhang (SNU). CVPR 2023.

36. Dual-path Adaptation from Image to Video Transformers. Jungin Park (Yonsei Univ), Jiyoung Lee (NAVER AI Lab, NAVER Cloud), Kwanghoon Sohn (Yonsei Univ). CVPR 2023.

37. Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding. Gyeongman Kim (KAIST), Hajin Shim (KAIST), Hyunsu Kim (NAVER AI Lab), Yunjey Choi (NAVER AI Lab, NAVER Cloud), Junho Kim (NAVER AI Lab, NAVER Cloud), Eunho Yang (KAIST). CVPR 2023.

38. The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation. Beomyoung Kim (NAVER Cloud, KAIST), Joonhyun Jeong (NAVER Cloud, KAIST), Dongyoon Han (NAVER AI Lab, NAVER Cloud), Sung Ju Hwang (KAIST). CVPR 2023.

39. SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation. Hyungseob Shin (Yonsei Univ), Hyeongyu Kim (Yonsei Univ), Sewon Kim (NAVER AI Lab, NAVER Cloud), Yohan Jun (Massachusetts General Hospital), Taejoon Eo (Yonsei Univ), Dosik Hwang (Yonsei Univ). CVPR 2023.

40. itKD: Interchange Transfer-based Knowledge Distillation for 3D Object Detection. Hyeon Cho (Ajou Univ), Junyong Choi (Ajou Univ), Geonwoo Baek (Ajou Univ), Wonjun Hwang (Ajou Univ, NAVER AI Lab). CVPR 2023.

41. Imaginary Voice: Face-styled Diffusion Model for Text-to-Speech. Jiyoung Lee (NAVER AI Lab, NAVER Cloud), Joon Son Chung (KAIST), Soo-Whan Chung (NAVER Cloud). ICASSP 2023.

42. Rarity Score: A New Metric to Evaluate the Uncommonness of Synthesized Images. Jiyeon Han (KAIST), Hwanil Choi (KAIST), Yunjey Choi (NAVER AI Lab), Junho Kim (NAVER AI Lab), Jung-Woo Ha (NAVER AI Lab), Jaesik Choi (KAIST). ICLR 2023 (Notable-Top-25%).

43. Exploring Temporally Dynamic Data Augmentation for Video Recognition. Taeoh Kim (NAVER Cloud), Jinhyung Kim (KAIST), Minho Shim (NAVER Cloud), Sangdoo Yun (NAVER AI Lab), Myunggu Kang (NAVER Cloud), Dongyoon Wee (NAVER Cloud), Sangyoun Lee (Yonsei University). ICLR 2023 (Notable-Top-25%).

44. Exact Group Fairness Regularization via Classwise Robust Optimization. Sangwon Jung (SNU), Tae Eon Park (SNU), Sanghyuk Chun (NAVER AI Lab), Taesup Moon (SNU). ICLR 2023.

45. Online Boundary-Free Continual Learning by Scheduled Data Prior. Hyunseo Koh (GIST), Minhyuk Seo (Yonsei Univ), Jihwan Bang (NAVER Cloud), Hwanjun Song (NAVER AI Lab), Deokki Hong (Yonsei Univ), Seulki Park (SNU), Jung-Woo Ha (NAVER AI Lab), Jonghyun Choi (Yonsei Univ & NAVER AI Lab). ICLR 2023.

46. What Do Self-Supervised Vision Transformers Learn? Namuk Park (NAVER AI Lab), Wonjae Kim (NAVER AI Lab), Byeongho Heo (NAVER AI Lab), Taekyung Kim (NAVER AI Lab), Sangdoo Yun (NAVER AI Lab). ICLR 2023.

47. Self-Supervised Set Representation Learning for Unsupervised Meta-Learning. Dong Bok Lee (KAIST), Seanie Lee (KAIST), Kenji Kawaguchi (National Univ of Singapore), Yunji Kim (NAVER AI Lab), Jihwan Bang (NAVER CLOUD), Jung-Woo Ha (NAVER AI Lab), Sung Ju Hwang (KAIST). ICLR 2023.

48. Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance. Yoonjeon Kim (KAIST), Hyunsu Kim (NAVER AI Lab), Junho Kim (NAVER AI Lab), Yunjey Choi (NAVER AI Lab), Eunho Yang (KAIST). ICLR 2023.

49. DAPIE: Interactive Step-by-Step Explanatory Dialogues to Answer Children's Why and How Questions. Yoonjoo Lee (KAIST), Tae Soo Kim (KAIST), Sungdong Kim (NAVER AI Lab), Yohan Yun (KAIST), Juho Kim (KAIST). CHI 2023.

50. DataHalo: A Customizable Notification Visualization System for Personalized and Longitudinal Interactions. GuHyun Han (SNU), Jae Hun Jung (UW), Young-Ho Kim* (NAVER AI Lab), Jinwook Seo* (SNU). CHI 2023.

51. AVscript: Accessible Video Editing with Audio-Visual Scripts. Mina Huh (UT Austin), Saelyne Yang (KAIST), Yi-Hao Peng (CMU), Xiang 'Anthony' Chen (UCLA), Young-Ho Kim (NAVER AI Lab), Amy Pavel (UT Austin). CHI 2023.

52. Understanding the Benefits and Challenges of Deploying Conversational AI Leveraging Large Language Models for Public Health Intervention. Eunkyung Jo (UC Irvine), Daniel A. Epstein (UC Irvine), Hyunhoon Jung (NAVER CLOUD), Young-Ho Kim (NAVER AI Lab). CHI 2023.

53. Scaling Law for Recommendation Models: Towards General-purpose User Representations. Kyuyong Shin (NAVER), Hanock Kwak (NAVER), Su Young Kim (NAVER), Max Nihlen Ramstrom (NAVER), Jisu Jeong (NAVER), Jung-Woo Ha (NAVER AI Lab), Kyung-Min Kim (NAVER). AAAI 2023.

54. Prompt-Augmented Linear Probing: Scaling Beyond The Limit of Few-shot In-Context Learners. Hyunsoo Cho (SNU), Hyuhng Joon Kim (SNU), Junyeob Kim (SNU), Sang-Woo Lee (NAVER AI Lab), Sang-goo Lee (SNU), Kang Min Yoo^ (NAVER AI Lab), Taeuk Kim^ (Hanyang Univ). AAAI 2023.

55. MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation. Junyoung Seo (Korea Univ.), Gyuseong Lee (Korea Univ.), Seokju Cho (Korea Univ.), Jiyoung Lee (NAVER AI Lab), Seungryong Kim (Korea Univ.). AAAI 2023.

56. Spatiotemporal Augmentation on Selective Frequencies for Video Representation Learning. Jinhyung Kim (KAIST), Taeoh Kim (NAVER CLOUD), Minho Shim (NAVER CLOUD), Dongyoon Han (NAVER AI Lab), Dongyoon Wee (NAVER CLOUD), Junmo Kim (KAIST). AAAI 2023.

57. Can We Find Strong Lottery Tickets in Generative Models? Sangyeop Yeo (UNIST), Yoojin Jang (UNIST), Jy-yong Sohn (UNIST), Dongyoon Han (NAVER AI Lab), Jaejun Yoo (UNIST). AAAI 2023.

Full paper list