연세대학교 첨단컴퓨팅학부, 머신러닝 최고 권위 학회 ‘ICML 2026’ 18개 논문 채택

연세대학교 첨단컴퓨팅학부가 인공지능 및 기계학습(Machine Learning) 분야 세계 최고 권위 학회인 ‘ICML(International Conference on Machine Learning) 2026’에서 다수의 논문을 발표하며 글로벌 연구 역량을 다시 한번 증명했습니다.

특히 올해 ICML은 대한민국 서울에서 개최되어 전 세계 AI 석학들의 이목이 집중된 가운데, 우리 학부는 탁월한 성과를 거두었습니다.

✍️ 논문 제목 및 저자

(Spotlight)

1. 1. Real-Time Visual Attribution Streaming in Thinking Model

- Seil Kang, Woojung Han, Junhyeok Kim, JInyeong Kim, Youngeun Kim, Seong Jae Hwang

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3. 2. Shared Semantics, Divergent Mechanisms: Unsupervised Feature Discovery by Aligning Semantics and Mechanisms

- Hyunjin Cho, Youngji Roh, Jaehyung Kim

(Position Track)

1. 1. Position: The Term “Machine Unlearning” Is Overused in LLMs

- Sangyeon Yoon*, Yeachan Jun*, and Albert No

(Poster)

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

- Hyunseo Kim, Sangam Lee, Kwangwook Seo, Dongha Lee

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3. 2. 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

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4. 3. Chunk-Guided Q-Learning

- Gwanwoo Song, Kwanyoung Park, Youngwoon Lee

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5. 4. Contrastive Flow Map Matching

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

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6. 5. Dependency-Aware Parallel Decoding via Attention for Diffusion LLMs

- Bumjun Kim*, Dongjae Jeon*, Moongyu Jeon, and Albert No

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7. 6. dgMARK: Decoding-Guided Watermarking for Diffusion Language Models

- Pyo Min Hong and Albert No

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8. 7. EMBGUARD: Constructing Hazard-Aware Guardrails for Safe Planning in Embodied Agents

- Dongwook Choi, Taeyoon Kwon, Bogyung Jeong, Minju Kim, Yeonjun Hwang, Hyojun Kim, Byungchul Kim, Young Kyun Jang, Jinyoung Yeo

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9. 8. Federated Sketching LoRA: A Flexible Framework for Heterogeneous Collaborative Fine-Tuning of LLMs

- Wenzhi Fang, Dong-Jun Han, Liangqi Yuan, Seyyedali Hosseinalipour, Christopher G. Brinton

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10. 9. Global Geometry Is Not Enough for Vision Representations

- Jiwan Chung, Seon Joo Kim

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11. 10. LeakGFN: Robust Molecular Generation in Generative Flow Networks via Flow Decomposition

- Hwanhee Kim, Seungyeon Choi, Sanghyun Park

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12. 11. Mitigating Mask Prior Drift and Positional Attention Collapse in Large Diffusion Vision-Language Models

- Sujung Hong, Chanyong Yoon, Seong Jae Hwang

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13. 12. On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Length

- Sunghwan Kim, Junhee Cho, Beong-woo Kwak, Taeyoon Kwon, Liang Wang, Nan Yang, Xingxing Zhang, Furu Wei, Jinyoung Yeo

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14. 13. Persona2Web: Benchmarking Personalized Web Agents for Contextual Reasoning with User History

- Serin Kim, Sangam Lee, Dongha Lee

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15. 14. Physics in 2-Steps: Locking Motion Priors Before Visual Refinement Erases Them

- Woojung Han, Seil Kang, Youngjun Jun, Min-Hung Chen, Fu-En Yang, Seong Jae Hwang

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16. 15. Preserve-Then-Quantize: Balancing Rank Budgets for Quantization Error Reconstruction in LLMs

- Yoonjun Cho*, Dongjae Jeon*, Soeun Kim, Moongyu Jeon, and Albert No

Image Source: ICML Official Website (https://icml.cc)