ICLR

2026213편

• 김승룡KAIST

  3D Scene Prompting for Scene-Consistent Camera-Controllable Video Generation

  Joungbin Lee, Jaewoo Jung, Jisang Han, Takuya Narihira, Kazumi Fukuda, Junyoung Seo, Sunghwan Hong, Yuki Mitsufuji, Seungryong Kim

• 김영민SNU

  3D-aware Disentangled Representation for Compositional Reinforcement Learning

  Sungbin Mun, Younghwan Lee, Cheol-Hui Min, Mineui Hong, Young Min Kim

• 김용대SNU

  A Fair Bayesian Inference through Matched Gibbs Posterior

  Jihu Lee, Kunwoong Kim, Sehyun Park, Insung Kong, Dongyoon Yang, Yongdai Kim

• 김승룡KAIST

  A Noise is Worth Diffusion Guidance

  Donghoon Ahn, Jiwon Kang, Sanghyun Lee, Jaewon Min, Wooseok Jang, Minjae Kim, Hyungwon Cho, Sayak Paul, SeonHwa Kim, Eunju Cha, Kyong Hwan Jin, Seungryong Kim

• 이준석SNU

  A Scalable Inter-edge Correlation Modeling in CopulaGNN for Link Sign Prediction

  Jinkyu Sung, Myunggeum Jee, Joonseok Lee

• 노승문Yonsei

  A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models

  Wonje Jeung, Sangyeon Yoon, Yoonjun Cho, Dongjae Jeon, Sangwoo Shin, Hyesoo Hong, Albert No

• 문일철KAIST

  AC-Sampler: Accelerate and Correct Diffusion Sampling with Metropolis-Hastings Algorithm

  Minsang Park, Gyuwon Sim, Hyungho Na, Jiseok Kwak, Sumin Lee, Richard Lee Kim, Donghyeok Shin, Byeonghu Na, Yeongmin Kim, Il-chul Moon

• 홍승훈KAIST

  AdaRank: Adaptive Rank Pruning for Enhanced Model Merging

  Chanhyuk Lee, Jiho Choi, Chanryeol Lee, Donggyun Kim, Seunghoon Hong

• 김재형Yonsei

  Align to Misalign: Automatic LLM Jailbreak with Meta-Optimized LLM Judges

  Hamin Koo, Minseon Kim, Jaehyung Kim

• 문일철KAIST

  AMiD: Knowledge Distillation for LLMs with $\alpha$-mixture Assistant Distribution

  Donghyeok Shin, Yeongmin Kim, Suhyeon Jo, Byeonghu Na, and Il-Chul Moon

• 이근배, 김형훈POSTECH

  AQuA: Toward Strategic Response Generation for Ambiguous Visual Questions

  Jihyoung Jang, Hyounghun Kim

• 김용대SNU

  Bayesian Neural Networks for Functional ANOVA Model

  Seokhun Park, Choeun Kim, Jihu Lee, Yunseop Shin, Insung Kong, Yongdai Kim

• 이병준KU

  Beyond RAG vs. Long-Context: Learning Distraction-Aware Retrieval for Efficient Knowledge Grounding

  Seongwoong Shim, Myunsoo Kim, Jae Hyeon Cho, Byung-Jun Lee

• 성민혁KAIST

  BézierFlow: Learning Bézier Stochastic Interpolant Schedulers for Few-Step Generation

  Yunhong Min, Juil Koo, Seungwoo Yoo, Minhyuk Sung

• 이경무, 한보형SNU

  Bridging the Distribution Gap to Harness Pretrained Diffusion Priors for Super-Resolution

  Joonkyu Park and Kyoung Mu Lee

• 서민준KAIST

  Characterizing Pattern Matching and Its Limits on Compositional Task Structures

  Hoyeon Chang, Jinho Park, Hanseul Cho, Sohee Yang, Miyoung Ko, Hyeonbin Hwang, Seungpil Won, Dohaeng Lee, Youbin Ahn, Minjoon Seo

• 이재진SNU

  Choices Speak Louder than Questions

  Gyeongje Cho, Yeonkyoung So, and Jaejin Lee

• 전해곤Yonsei

  CHROMA: Consistent Harmonization of Multi-View Appearance via Bilateral Grid Prediction

  Jisu Shin, Richard Shaw, Seunghyun Shin, Zhensong Zhang, Hae-Gon Jeon, Eduardo Pérez-Pellitero

• 오성준KAIST

  CLIP Behaves like a Bag-of-Words Model Cross-modally but not Uni-modally

  Darina Koishigarina, Arnas Uselis, Seong Joon Oh

• 최종현SNU

  Co-LoRA: Collaborative Model Personalization on Heterogeneous Multi-Modal Clients

  Minhyuk Seo, Taeheon Kim, Hankook Lee, Jonghyun Choi, Tinne Tuytelaars

• 김동우, 옥정슬, 박상돈, 박은혁POSTECH

  Combinatorial Rising Bandits

  Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok

• 이재길KAIST

  Completing Missing Annotation: Multi-Agent Debate for Accurate and Scalable Relevant Assessment for IR Benchmarks

  Ban, M., Choi, J., Min, H., Kim, N. H., Kim, M., Lee, J., and Song, H.

• 김상필KU

  CompMarkGS: Robust Watermarking for Compression 3D Gaussian Splatting

  Sumin In, Youngdong Jang, Utae Jeong, MinHyuk Jang, Hyeongcheol Park, Eunbyung Park, Sangpil Kim

• 박은병Yonsei

  CompMarkGS: Robust Watermarking for Compression 3D Gaussian Splatting

  Sumin In, Youngdong Jang, Utae Jeong, MinHyuk Jang, Hyeongcheol Park, Eunbyung Park, Sangpil Kim

• 박찬영KAIST

  CompoDistill: Attention Distillation for Compositional Reasoning in Multimodal LLMs

  Jiwan Kim, Kibum Kim, Sangwoo Seo, Chanyoung Park

• 윤세영KAIST

  Composer: A Search Framework for Hybrid Neural Architecture Design

  Bilge Acun, Prasoon Sinha, Newsha Ardalani, Sangmin Bae, Alicia Golden, Chien-Yu Lin, Meghana Madhyastha, Fei Sun, Neeraja J. Yadwadkar, Carole-Jean Wu

• 오민환SNU

  Convergence of Muon with Newton-Schulz

  Gyu Yeol Kim, Min-hwan Oh

• 이상학SNU

  Counterfactual Structural Causal Bandits

  Min Woo Park, Sanghack Lee *

• 유영재SNU

  D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI

  Suwhan Choi*, Jaeyoon Jung*, Haebin Seong*, Minchan Kim, Minyeong Kim, Yongjun Cho, Yoonshik Kim, Yubeen Park, Youngjae Yu, Yunsung Lee

• 이기민KAIST

  DEAS: DEtached value learning with Action Sequence for Scalable Offline RL

  Changyeon Kim, Haeone Lee, Younggyo Seo, Kimin Lee, Yuke Zhu

• 김선주Yonsei

  Decomposed Attention Fusion in MLLMs for Training-Free Video Reasoning Segmentation

  Su Ho Han*, Jeongseok Hyun*, Pilhyeon Lee, Minho Shim, Dongyoon Wee, Seon Joo Kim

• 석흥일KU

  Deconstructing Guidance: A Semantic Hierarchy for Precise Diffusion Model Editing

  W. Jeong, J. Sohn, J. Yoon, H.-I. Suk

• 신진우KAIST

  Decoupled MeanFlow: Turning Flow Models into Flow Maps for Accelerated Sampling

  Kyungmin Lee, Sihyun Yu, Jinwoo Shin

• 양은호KAIST

  Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring

  Changhun Kim, Yechan Mun, Hyeongwon Jang, Eunseo Lee, Sangchul Hahn, Eunho Yang

• 박진규KAIST

  Diffusion Alignment as Variational Expectation-Maximization

  Jaewoo Lee, Minsu Kim, Sanghyeok Choi, Inhuck Song, Sujin Yun, Hyeongyu Kang, Woocheol Shin, Taeyoung Yun, Kiyoung Om, Jinkyoo Park

• 박진규KAIST

  Diffusion Fine-Tuning via Reparameterized Policy Gradient of the Soft Q-Function

  Hyeongyu Kang*, Jaewoo Lee*, Woocheol Shin*, Kiyoung Om, Jinkyoo Park

• 박재식SNU

  Direct Reward Fine-Tuning on Poses for Single Image to 3D Human in the Wild

  Seunguk Do, Minwoo Huh, Joonghyuk Shin, and Jaesik Park

• 심현정KAIST

  Directional Textual Inversion for Personalized Text-to-Image Generation

  Kunhee Kim, NaHyeon Park, Kibeom Hong, Hyunjung Shim

• 오성준KAIST

  DISCO: Diversifying Sample Condensation for Efficient Model Evaluation

  Alexander Rubinstein, Benjamin Raible, Martin Gubri, Seong Joon Oh

• 문일철KAIST

  Distillation of Large Language Models via Concrete Score Matching

  Yeongmin Kim, Donghyeok Shin, Mina Kang, Byeonghu Na, and Il-Chul Moon