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Showing papers from Yonsei University Show all papers

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Few-Shot Truly Benign DPO Attack for Jailbreaking LLMs

Yoon Sangyeon, Wonje Jeung, Yoonjun Cho, Dongjae Jeon and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 1/5
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67%Highly rated
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Beyond Uniform Detection: Adaptive Hallucination Detection for RAG Across Response Regimes

Jungwuk Park, Sejong Ryu, Jy-yong Sohn, Jaekyun Moon

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 1/5
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Renoise Consistency: Unlocking Efficient Self-Correction for Diffusion Large Language Models

JIHOON LEE, Yeongbin Seo, Jaehyung Kim

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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MT-CC: Multi-Group Temperature Scaling for Asymmetric Calibration Behavior in Class-Incremental Learning

Sungjun Yun, Yonghee Choi, Dong-Jun Han

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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3D Consistency Tokens

Seungtae Nam, Jungwoo Kim, Gyeongjin Kang, Younggeun Lee and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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Reading the Unreadable: Text-Aware Image Super-Resolution Needs Reasoning

Jaeseong Lee, Jinwoo Kim, Jinho Jeong, Seon Joo Kim

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Safeguarding LLMs via Model-Agnostic Latent Safety Signals from Dark Knowledge

Wonjun Lee, Kyungsik Yang, Gaeun Ji, Vaidehi Patil and 4 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Keep It CALM: Analyzing the Limits of Global Unsafety in Text-to-Image Generation

NaHyeon Park, Minhyun Lee, Hyunjung Shim

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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Systematic Hazard Sampling: Minimal-Variance Inference for Discrete Diffusion and Flow Models

Seunghwan Jang, Wonje Jeung, SooJean Han

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Implicit Neural Representations for Variational Problems on Graphons

Taeyoung Kim, Jineon Baek, Joonkyung Lee, Hongseok Yang

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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MIRA: Mutual Information guided calibration for Reliable Test-Time Adaptation

Hyeongyu Kim, Mingyeong Jang, Youngjun Song, GeonHui Han and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 1/5
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Information Propagation via Sign-Flip Dynamics

Hyunwoo Lee, Hyojae Lim, Dohyun Kwon

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Distilling Conditional Image Generators into Spatial Effect Maps

Eun Ryung Lee, Seyoung Park

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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67%Highly rated
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CECAR: Cache & Expert Co-Aware Routing Accelerates On-Device Inference of MoE LLMs

Byeongju Kim, Hoonki Lee, Byungjun Kim, Inyul Ra and 3 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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lenient 2/5
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Standardization of Post-Publication Code Verification is Possible with the Support of the Community

Susana López-Moreno, Eric R Dolores-Cuenca, Sangil Kim

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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67%Highly rated
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Not All Routing Drift Is Harmful: Trust-Region Projection for Class-Incremental Learning

Tae-Hwan Kim, Sung-Bae Cho

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 1/5
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strict 1/5
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From Static Geometry to Dynamical Singularity: Detecting Memorization in Diffusion Models via Score Evolution

Jeonseong Kim, Chenglin Fan

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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WebArena-Pro: A Heterogeneous, Multimodal, Reproducible Benchmark for Web Agents

Imene Kerboua, Fatemeh Pesaran Zadeh, Xing Han Lu, Weijian Qi and 18 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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lenient 1/5
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Neural Optimal Transport in Hilbert Spaces

Jae-Hwan Choi, Jiwoo Yoon, Dohyun Kwon, Jaewoong Choi

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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OntoPlan: An Ontology-Grounded Scene Representation and Agentic Framework for Scalable Robot Task Planning

Hyeongwoo Nam, Woongje Cho, Juwon Kim, Jongeun Choi

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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The Mask Is Not the Object: Volumetric Supervision for 3D Gaussian Segmentation

Jeonghwan Cho, Minsu Kim, Junyoung Hong, Seon Joo Kim

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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69%Highly rated
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Auditing the Judge: Human-Grounded Bias Discovery, Quantification, and Mitigation in LLM Judges

Hamin Koo, ChanJoo Jung, Fangzhao Wu, Jaehyung Kim

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 2/5
medium 1/10
strict 0/5
57%Worth a look
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Geometry-Aware Representation Denoising for Multi-view Image Restoration and 3D Reconstruction

Jin Hyeon Kim, Jaeeun Lee, Claire Kim, Kyoungjin Oh and 8 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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Reconciling Safety and Performance via Dual-Expert Offline Imitation Learning

Seokin Seo, Sung Kuk Shyn, Minji Seo, Yisoo Lee and 3 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 1/5
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76%Highly rated
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ComPose: When to Trust Hands for Object Pose Tracking

ComPose tracks 6DoF object pose in RGB video by using hand motions as complementary cues, achieving robust accuracy under severe occlusion without external priors.

Jisu Shin, Junoh Lee, JunGyu Lee, Inhwan Bae and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 5/5
medium 5/10
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80%Must read
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Scenes as Objects, Not Primitives : Instance-Structured 3D Tokenization from Unposed Views

Feed-forward framework decomposes scenes into instance-structured 3D token groups from unposed multi-view images to enable reconstruction, segmentation, and direct object editing.

Mijin Yoo, In Cho, Subin Jeon, Jiwoo Lee and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 51 on Hugging Face

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
71%Highly rated
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Neural Quantum Spectral Operator Learning for Solving Partial Differential Equations

NVQLS proposes a hybrid quantum-classical unsupervised operator learning framework using a Legendre-Galerkin formulation to solve parametric PDEs with improved accuracy and theoretical speedups.

Chanyoung Kim, Myeonghwan Seong, Kim Yujin, Daniel Kyungdeock Park and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 6 of 20 reviewers recommend it
lenient 3/5
medium 3/10
strict 0/5
71%Highly rated
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RelationVGGT : Visual Geometry Transformers for 3D Spatial Relation Segmentation

RelationVGGT enables feed-forward 3D spatial relation segmentation across multi-view images without camera poses or category names by combining visual semantics with geometry-aware representations via a relation transformer.

Minsu Kim, Jaesung Choe, Jiwoo Lee, Frank Wang and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 4/5
medium 3/10
strict 0/5
76%Highly rated
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Towards Direct Evaluation of Harness Optimizers via Priority Ranking

Priority ranking directly evaluates harness optimizers by ranking harness components via potential performance impact, correlating with multi-step optimization ability without costly rollouts.

Kai Ong, Minseok Kang, Dongwook Choi, Junhee Cho and 10 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face

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lenient 4/5
medium 6/10
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80%Must read
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Sequential Behavioral Watermarking for LLM Agents

SeqWM embeds watermarks into history-conditioned agent transition patterns, enabling position-agnostic trajectory verification that resists corruption where step-indexed methods fail.

Hyeseon An, Shinwoo Park, Dongsu Kim, Yo-Sub Han

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 5/5
medium 7/10
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Cross-Family Universality of Behavioral Axes via Anchor-Projected Representations

An anchor-projected framework maps hidden representations into shared coordinates to extract and transfer behavioral directions across model families without fine-tuning, achieving high cross-family steering and detection accuracy.

Su-Hyeon Kim, Yo-Sub Han

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5
78%Highly rated
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Steering Away from Memorization: Reachability-Constrained Reinforcement Learning for Text-to-Image Diffusion

RADS applies reachability analysis and constrained reinforcement learning to steer diffusion trajectories away from memorized outputs via caption embedding perturbations, improving diversity, quality, and alignment without altering the model.

Sathwik Karnik, Juyeop Kim, Sanmi Koyejo, Jong-Seok Lee and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 5/5
medium 6/10
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89%Must read
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Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution Shift

Out-of-distribution shifts rotate active subspaces, misaligning dictionary explainers; a geometry-adaptive realignment using unlabeled OOD activations closes the faithfulness gap and restores causal interpretability without training.

Sungjun Lim, Heedong Kim, Andrew Lee, Kyungwoo Song

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 16 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 3/5
83%Must read
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Same Concept, Different Directions: Cross-Modal Feature Heterogeneity in Sparse Autoencoders

Cross-modal sparse autoencoders exhibit feature heterogeneity where shared concepts activate different latents across image and text modalities, and training modality-specific autoencoders with post-hoc alignment improves reconstruction, retrieval, and steering.

Chungpa Lee, Jihoon Kwon, Kyle Min, Jy-yong Sohn

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
88%Must read
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Distributional Alignment as a Criterion for Designing Task Vectors in In-Context Learning

Task vector design via distributional alignment with in-context learning minimizes next-token probability discrepancy, yielding a linear method that improves accuracy by 9.2% and enables cross-scale transfer.

Jihoon Kwon, Jiwon Choi, Jy-yong Sohn

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 15 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 2/5
83%Must read
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EHRNote-ChatQA: A Benchmark for Evidence-Grounded Multi-Turn Clinical Question Answering over Longitudinal Discharge Summaries

EHRNote-ChatQA introduces multi-turn clinical QA over longitudinal discharge summaries, showing LLMs struggle with evidence grounding and multi-turn error accumulation.

Jiyoun Kim, Muhan Yeo, Eunhye Jang, Jeewon Yang and 13 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 5/5
medium 6/10
strict 2/5
76%Highly rated
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Asymmetric Invertible Threat: Learning Reversible Privacy Defense for Face Recognition

ARFP integrates key-bound face cloaking with adversarial restoration-aware training to resist inverse purification attacks while allowing authorized reversible recovery and tamper detection.

Jiabei Zhang, Ziyuan Yang, Andrew Beng Jin Teoh, Yi Zhang

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 5/5
medium 4/10
strict 1/5
91%Must read
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TRACE: Tourism Recommendation with Accountable Citation Evidence

TRACE introduces tourism dialogues pairing multi-turn recommendations with review citations and rejection turns to expose the Three-Competency Gap across accuracy, grounding, and recovery.

Zixu Zhao, SIJIN WANG, Yu Hou, YUANYUAN XU and 5 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 18 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 5/5
78%Highly rated
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Rebalancing Reference Frame Dominance to Improve Motion in Image-to-Video Models

DyMoS rebalances reference-frame self-attention in image-to-video models to boost motion dynamics without retraining or altering inputs.

Wooseok Jeon, Seungho Park, Seunghyun Shin, Sangeyl Lee and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 0/5
72%Highly rated
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Disentangled Sparse Representations for Concept-Separated Diffusion Unlearning

SAEParate clusters diffusion latent features by concept via contrastive learning to improve precise concept unlearning with reduced cross-concept interference.

Hyeonjin Kim, Hangyeol Jung, Heechan Yun, Sungjun Yun and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 8 of 20 reviewers recommend it
lenient 5/5
medium 3/10
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