ICML

2026193편

• 오태현KAIST

  A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search

  Baek Seong-Eun, Lee Jung-Mok, Kim Sung-Bin, Tae-Hyun Oh

• 이정우SNU

  A Regret Minimization Framework on Preference Learning in Large Language Models

  Suhwan Kim*, Taehyun Cho*, Geon-Hyeong Kim, Yu Jin Kim, Youngsoo Jang, Moontae Lee, Jungwoo Lee

• 문태섭SNU

  Action-Sufficient Goal Representations

  Jinu Hyeon, Woobin Park, Hongjoon Ahn, and Taesup Moon

• 박진규KAIST

  Active Attacks: Red-teaming LLMs via Adaptive Environments

  Taeyoung Yun, Pierre-Luc St-Charles, Jinkyoo Park, Yoshua Bengio, Minsu Kim

• 박노성KAIST

  Adversarial Robustness of Implicit Neural Representation-Based Classifiers

  Jayoung Kim, Kookjin Lee, Noseong Park, and Sanghyun Hong

• 김동우, 옥정슬, 박상돈, 박은혁POSTECH

  Agentic Model Predictive Questioning Control in Visual Design

  Kuang-Da Wang, Zhao Wang, Wei-Yao Wang, Yotaro Shimose, Jaechang Kim, Shingo Takamatsu

• 강필성SNU

  AlienLM: Alienization of Language for API-Boundary Privacy in Black-Box LLMs

  Jaehee Kim, Pilsung Kang*

• 예종철KAIST

  Align Your Trajectory Tangent: Training Better Consistency Models via Manifold-Aligned Tangents

  Beomsu Kim, ByungHee Cha, Jong Chul Ye

• 이기민KAIST

  Alignment Tampering: How Reinforcement Learning from Human Feedback Is Exploited to Optimize Misaligned Biases

  Dongyoon Hahm, Dylan Hadfield-Menell, Kimin Lee

• 예종철KAIST

  Alignment-Guided Score Matching for Text-to-Image Alignment in Diffusion Models

  Jaa-Yeon Lee, Yeobin Hong, Taesung Kwon, Jong Chul Ye

• 이기복Yonsei

  AugMask: Training Diffusion Models on Incomplete Tabular Data via Stochastic Augmentation and Masking

  Jungkyu Kim, Taeyoung Park, Kibok Lee

• 이동하Yonsei

  BESPOKE: Benchmark for Search-Augmented Large Language Model Personalization via Diagnostic Feedback

  {Hyunseo Kim, Sangam Lee}, Kwangwook Seo, Dongha Lee

• 정교민SNU

  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

• 박찬영KAIST

  Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents

  Wonjoong Kim, Sangwu Park, Yeonjun In, Sein Kim, Dongha Lee, Chanyoung Park

• 이동하Yonsei

  Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents

  Wonjoong Kim, Sangwu Park, Yeonjun In, Sein Kim, Dongha Lee, Chanyoung Park

• 오민환SNU

  Bilinear Bandits with Partially Observable Features

  Wooseong Cho, Ji Hyeong Park, Min-hwan Oh

• 송경우Yonsei

  Bounded Hyperbolic Tangent: A Stable and Efficient Alternative to Pre-Layer Normalization in Large Language Models

  Hoyoon Byun, Youngjun Choi, Taero Kim, Sungrae Park, Kyungwoo Song

• 최재식KAIST

  Breaking the Lock-in: Diversifying Text-to-Image Generation via Representation Modulation

  Dahee Kwon, Ha-Eun Lee, Jaesik Choi

• 이재길KAIST

  Breaking the Reference Bottleneck via Learning to Rewrite Conversational Queries without Gold Reference Passages

  Kim, D., Lee, Y., Kim, J., Bang, J., Song, H., Yoon, S., and Lee, J.

• 한동준Yonsei

  Bridging On-Device and Cloud LLMs for Collaborative Reasoning: A Unified Methodology for Local Routing and Post-Training

  Wenzhi Fang, Dong-Jun Han, Liangqi Yuan, Evan Chen, Christopher G. Brinton

• 조요한SNU

  Bridging the Knowledge-Prediction Gap in LLMs on Multiple-Choice Questions

  Yoonah Park, Haesung Pyun, Yohan Jo

• 한욱신POSTECH

  Bring My Cup! Personalizing Vision-Language-Action Models with Visual Attentive Prompting

  Lee, S., Mo, S., Han, W.

• 안성수KAIST

  CatFlow: Co-generation of Slab-Adsorbate Systems via Flow Matching

  Minkyu Kim, Nayoung Kim, Honghui Kim, Sungsoo Ahn

• 정교민SNU

  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

• 이영운SNU

  Chunk-Guided Q-Learning

  Gwanwoo Song, Kwanyoung Park, Youngwoon Lee

• 오성준KAIST

  Compositional Generalization Requires Linear, Orthogonal Representations in Vision Embedding Models

  Arnas Uselis, Andrea Dittadi, Seong Joon Oh

• 오성회SNU

  Compositional Transduction with Latent Analogies for Offline Goal-Conditioned Reinforcement Learning

  Junseok Kim, Dohyeong Kim, Mineui Hong, and Songhwai Oh

• 김기응KAIST

  Concept Removal Guidance: Evidence-Calibrated Negative Guidance for Safe Diffusion Sampling

  Yoonseok Choi, Chaeyoung Oh, Hyunjun Choi, Seokin Seo, Kee-Eung Kim

• 이주호KAIST

  Confidence is not universal: task-dependent calibration and emergent behavior in LLMs

  Chaeyun Jang, Moonseok Choi, Yegon Kim, Seungyoo Lee, Juho Lee, Hyungi Lee

• 성영철KAIST

  Constrained multi-objective reinforcement learning with max-min criterion

  G. Park+, H. Nam+, W. Byeon, A. Leshem and Y. Sung*

• 윤성로SNU

  Contextualized Visual Personalization in Vision-Language Models

  Yeongtak Oh, Sangwon Yu, Junsung Park, Han Cheol Moon, Jisoo Mok, Sungroh Yoon

• 박은병Yonsei

  Contrastive Flow Map Matching

  Junyu Zhang, Daochang Liu, Younghyun Kim, Jong Hwan Ko, Shichao Zhang, Chang Xu, Eunbyung Park

• 신진우KAIST

  Contrastive Representation Regularization for Vision-Language-Action Models

  Taeyoung Kim, Jimin Lee, Myungkyu Koo, Dongyoung Kim, Kyungmin Lee, Changyeon Kim, Younggyo Seo, Jinwoo Shin

• 예종철KAIST

  ContrastiveCFG: Guiding Diffusion Sampling by Contrasting Positive and Negative Concepts

  Jinho Chang, Changsun Lee, Hyungjin Chung, Jong Chul Ye

• 박건웅SNU

  Convex Distance Operator Transport: Convex and Geometry-Preserving Formulation

  Junhyoung Chung, Euijong Song, Won Hwa Kim, and Gunwoong Park

• 김원화, 류일우POSTECH

  Convex Distance Operator Transport: Convex and Geometry-Preserving Information

  Junhyoung Chung, Euijong Song, Won Hwa Kim, Gunwoong Park

• 김희영KAIST

  Courtroom Analogy: New Perspective on Uncertainty-Aware Classification

  T. Yoon and H. Kim

• 전광성POSTECH

  Coverage Improvement and Fast Convergence of On-policy Preference Learning

  Juno Kim, Jihun Yun, Jason D. Lee, Kwang-Sung Jun

• 서민준KAIST

  Decentralized Instruction Tuning: Conflict-Aware Splitting and Weight Merging

  Minsik Choi, Geewook Kim

• 김승룡KAIST

  Deep Forcing: Training-Free Long Video Generation with Deep Sink and Participative Compression

  Jung Yi, Wooseok Jang, Paul Hyunbin Cho, Jisu Nam, Heeji Yoon, Seungryong Kim