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Showing papers from Korea Advanced Institute of Science & Technology Show all papers

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TreePII: Efficient Computation of Higher-Order Probabilistic Interaction Indices in Tree Ensembles

Junho Choi, Jaesik Choi

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

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HyperFlow: Gradient-Free Test-Time Adaptation for Cross-Domain Few-Shot Classification

Donggyun Kim, Chanwoo Kim, Seunghoon Hong

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
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67%Highly rated
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Anatomy-aware Spatio-Temporal Modeling for Echocardiography Segmentation

Seok-Hwan Oh, Guil Jung, Myeong-Gee Kim, Young-Min Kim and 4 more

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

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lenient 2/5
medium 0/10
strict 0/5
69%Highly rated
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SAGE: Semantic-Agnostic Image Embedding for Generalized AI-Generated Image Detection

Seongho Kim, Jaehyun Choi, Dahye Kim, Sungwon Yi 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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Aligning Few-Step Generative Model via Amortizing Sample-Based Variational Inference

Jaewoo Lee, Hyeongyu Kang, Dohyun Kim, Kyuil Sim and 8 more

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

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Noise-Started One-Step Image Super-Resolution via LR-Conditioned SplitMeanFlow and GAN Refinement

Wei Zhu, Kai Zhang, Yu Zheng, Lei Luo and 2 more

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

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PhaseDance: Capturing Rhythm and Expressivity in Dance Modeling

Meongeun Kim, Taehui Lee, Soomin Park, Sung-Hee Lee

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

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Multi-Agent Coordination via Support-Preserving Distillation

Sangmin Lee, Youngju Na, Chanmi Lee, Sung-eui Yoon

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

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Dynamic Context Modeling for Longitudinal Mental Health Monitoring under Distribution Shift

Seungwan Jin, Taehyung Noh, Junghyun Kim, Uichin Lee and 1 more

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

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Decision Path Tracing for Causal Analysis in Transformers

Won Jo, Dahee Kwon, Jongeun Baek, Cheongwoong Kang 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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VLSplat: Vision-Language Guided Object-Centric 3D Gaussian Splatting via Scene Graph

Yuntae Jeon, Younho Jeon, Sujin Jin, Sungho Jo and 1 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AdKnob: Ad Intensity Control and Labeling for LLM-Native Advertising

Woo Jae Kim, Seongho Keum, Joonsung Jeon, Suhyeon Ha and 2 more

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

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OliO: ODE-based Linear Transition Operator for Self-Supervised Time Series Forecasting

Kwangryeol Park, Seulki Lee

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
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67%Highly rated
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Imitation Dominates Reinforcement: Direct In-Context RL Is Closer to ICL Than RL

Minchan Kwon, Seunghee Koh, Sunghyun Baek, Minsung Bae 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: 2 of 20 reviewers recommend it
lenient 1/5
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strict 1/5
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SchedDiff: Diffusion-Based Priority Refinement for Job Shop Scheduling

Dong-Yoon Oh, Sang-Hyun Cho, Inguk Choi, Hyun-Jung Kim

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

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Towards a Unified Model for Flexible Job Shop Scheduling Problems

Inguk Choi, Woo-Jin Shin, Sang-Hyun Cho, Hyun-Jung Kim

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

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Less is More: Compact-Token Masked Feature Learning for Skeleton Representation Learning

Jeonghyeok Do, Yun Chen, Geunhyuk Youk, Munchurl Kim

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

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H-GenPO: Hierarchical Generative Policy Optimization via the Option-Critic Framework

Wonhyeok Choi, Minwoo Choi, Jaeyeul Kim, Kyumin Hwang 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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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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HAPACT: A Benchmark For Human-Centric Physical Impact Localization in Movies

Youngrae Kim, Yejin Jang, Eunho Kim, Youjin Sung and 3 more

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

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Transformers Can Learn Multiclass Classification In-Context: Isotropy Governs Generalization

Daehan Yoon, Chulhee Yun

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
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Symmetric Interventions for Eliciting Model Intent

David Vella Zarb, Rustem Turtayev, Taywon Min, Jinghua Ou and 1 more

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

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Beyond Average Flatness: Domain-wise Flatness for Domain Generalization

Seungjun Choi, Heeyoung Kim

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

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Logit-Conditioned Diffusion Decoding for Frozen Discrete-Token VLMs

Ji Woo Hong, Hee Suk Yoon, Gwanhyeong Koo, Eunseop Yoon and 4 more

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

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Example-Based Spatial Guidance for Training-Free Concept Erasure in Diffusion Models

Younghwan Kil, Joonhyeong Park, Giung Nam, Jinwoo Shin and 1 more

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

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Hear, Localize, and Reason: Spatially Aware Scene Understanding for Audio-visual LLMs

Sung-Bin Kim, Lee Jung-Mok, Jinwoo Jung, Oh Hyun-Bin and 3 more

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

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FacEDiT: Talking Head Video Editing via Facial Motion Infilling

Sung-Bin Kim, Joohyun Chang, David Harwath, Tae-Hyun Oh

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

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scTrilemma: Balancing Identity, Invariance, and Reconstruction in Single-Cell Representation Learning

Yunhak Oh, Yoonho Lee, Junseok Lee, Namkyeong Lee and 8 more

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

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A Simple Unigram Cross-Entropy Lens on the Lexical Imprint of Pre-training Data

Jeonghoon Kim, Woojin Chung, Woomin Song, Cheonbok Park and 2 more

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

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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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BabyTheorist: A Benchmark for Learning to Theorize the World from Observation Alone

Doojin Baek, Junyeob Baek, Mingyu Jo, Hosung 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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ManiFusion: Unlocking High-Throughput Generation via Superposition in Manifold Space

Minkyu Kim, Baekseung Kim, Junhoo Lee, Jangho Kim and 1 more

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

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Improving Guidance-Free Visual Generation via Self-Contrastive Alignment for Likelihood Estimation

Jiwan Hur, DongJae Lee, Dongyeun Lee, Gyojin 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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Local FDR Membership Inference Attacks: Multiple Testing and the Role of Ridge Regularization

Jinyoung Hong, Bonwoo Lee, Jeongyoun Ahn

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

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PDE-PFN: Prior-Data Fitted Neural PDE Solver

Jaehyeon Park, Mingu Kang, Dongseok Lee, Woojin Cho and 4 more

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

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lenient 1/5
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69%Highly rated
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Clean Data Can Still Carry Backdoors: Support-Persistent Backdoors for Model Reuse

Junhoo Lee, Baekseung Kim, Seungyeon Kim, Nojun Kwak

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

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Discriminative Score Function: Turning Pretrained Models into Functional Generative Priors

Junhoo Lee, Hyeonjin Kim, Sangbum Han, Nojun Kwak

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

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DoG: Sniffing Out Overconfidence in LLM Agents via Post-hoc Trajectory Restructuring

Hyunjun Jeon, Dongha Lim, Kunwoong Kim, Daewon Choi 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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Synthon Contrastive Learning for Synthesizable 3D Molecule Generation

Nahyun Kim, Seul Lee, Sung Ju Hwang

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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lenient 2/5
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Chasing Label Shifters: A Change-Aware Framework for Dynamic Graph Node Classification

Junghoon Kim, Seungyoon Choi, Hyunsung Kim, Chanyoung Park

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

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SRA: Spatial Reasoning Adapter via Evolving Social Interaction Graphs for Trajectory Prediction

Jaewoo Jeong, Seonkyu Song, Hyeonwoo Park, Jegyeong Cho and 4 more

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

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Triggering Generalist Reasoning via Predictive Uncertainty for Dual-System VLA

Hyemin Yang, Wooseong Jeong, Giwon Lee, Kuk-Jin Yoon

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

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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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Stability-Weighted Direction Regularization Disentangles Generator Shortcuts from Detection Signal

Jang Ho Choi, Seongho Kim, Jaehyun Choi, Dahye Kim 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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VideoMaMa++: Temporally Consistent Video Matting via Preserve-and-Refine Tokens

Sangbeom Lim, Seoung Wug Oh, Heeji Yoon, Seungryong Kim and 1 more

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

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MASTARS: Multi-Agent Sequential Trajectory Augmentation with Return-Conditioned Subgoals

Jiwon Jeon, Myungsik Cho, Woojun Kim, Seongmin Kim 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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AGiR: Mitigating Gift Over-Reliance in Mixed-Motive Games

Woohyeon Byeon, Seongmin Kim, Jiwon Jeon, Woojun Kim and 1 more

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

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Addressing Exogenous Variability in Cooperative Multi-Agent Reinforcement Learning

Seongmin Kim, Woohyeon Byeon, Jiwon Jeon, Seungyul Han 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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DualDrift: Combining Forward and Reverse Drifts for One-Step Generative Modeling

Hojung Jung, Juhyeong Kim, Jaehyun Kwak, Boryeong Cho 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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Mitigating Overgeneralization in RND via Spectral Target Design

Minseok Jeong, Yechan Lee, Hyewon Choi, Jeongyong Yang and 1 more

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

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Looped Diffusion Language Models

Selective layer looping improves masked diffusion model training efficiency and reasoning performance via depth scaling without added parameters and flexible inference compute scaling.

Sanghyun Lee, Chunsan Hong, Seungryong Kim, Jonghyun Lee and 2 more

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

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Rebellious Student: Reversing Teacher Signals for Reasoning Exploration with Self-Distilled RLVR

RLRT reverses teacher signals in self-distillation to reinforce student reasoning tokens on successful rollouts, substantially outperforming exploration baselines across Qwen3 models.

Jeonghye Kim, Jiwon Jeon, Dongsheng Li, Yuqing Yang

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 15 on Hugging Face

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Towards Error-Free EHRs: Reasoning-Intensive Consistency Verification Between Clinical Notes and Structured Tables in Electronic Health Records

EHR-ReasonCon introduces a reasoning-intensive benchmark for clinical note-table consistency verification, and EHR-Inspector achieves state-of-the-art results via LLM-based verification with table exploration.

Yeonsu Kwon, Jiho Kim, Junseong Choi, Paloma Rabaey and 9 more

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

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Better Source, Better Flow: Learning Condition-Dependent Source Distribution for Flow Matching

Condition-dependent source distributions for flow matching improve text-to-image generation via variance regularization and directional alignment, accelerating convergence up to 3x in FID.

Junwan Kim, Jiho Park, Seonghu Jeon, Seungryong Kim

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

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72%Highly rated
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It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs

SELFCI uses complementary self-distillation to decouple information suppression from task resolution, improving contextual integrity without degrading utility.

Sangwoo Park, Woongyeong Yeo, Yumin Choi, Hyomin Lee and 5 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 29 on Hugging Face · Code ★ 7

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AMUSE: Anytime Muon with Stable Gradient Evaluation

AMUSE integrates Muon's rapid bulk progress with Schedule-Free averaging via time-varying interpolation to suppress oscillations, requiring no learning rate schedules and improving training efficiency across vision and LLM tasks.

Jueun Kim, Baekrok Shin, Jihun Yun, Beomhan Baek and 2 more

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

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78%Highly rated
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Trust Region Q Adjoint Matching

TRQAM introduces trust-region Q-adjoint matching with adaptive path-space KL control via projected dual descent, enabling stable off-policy flow-policy fine-tuning and achieving 68% success on OGBench.

Yonghoon Dong, Kyungmin Lee, Changyeon Kim, Jaehyuk Kim and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 24 on Hugging Face · Code ★ 20

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Automated Kernel Discovery Towards Understanding High-dimensional Bayesian Optimization

Kernel Discovery uses an LLM-driven evolutionary framework to search broad kernel spaces for high-dimensional Bayesian optimization, achieving average rank 1.2 out of 17.

Taeyoung Yun, Woocheol Shin, Inhyuck Song, Jaewoo Lee and 1 more

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

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70%Highly rated
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Screening Lipid Nanoparticles through Structure-Ratio Alignment

STRATA predicts lipid nanoparticle transfection by aligning molecular structure and composition ratio representations to model component interactions. It improves accuracy and generalizes to unseen molecules and ratios.

Yoonho Lee, Yunhak Oh, Hoyoung Choi, Chanyoung Park

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

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72%Highly rated
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MotionGrounder: Grounded Multi-Object Motion Transfer via Diffusion Transformer

MotionGrounder enables multi-object motion transfer via a diffusion transformer with flow-based motion signals, object-caption alignment loss, and a new object grounding score. It outperforms baselines in multi-object controllable video generation.

Samuel Teodoro, Yun Chen, Agus Gunawan, Soo Ye Kim 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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70%Highly rated
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DySurface: Consistent 4D Surface Reconstruction via Bridging Explicit Gaussians and Implicit Functions

DySurface bridges explicit dynamic Gaussians and implicit SDFs via voxel guidance to reconstruct temporally consistent, watertight 4D surfaces.

Minje Kim, Younghyun Noh, Jaesoon Kim, Tae-Kyun Kim

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

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88%Must read
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Multi-view Relational Distillation for Spatial Reasoning with Vision-Language Models

Multi-view relational distillation improves vision-language model spatial reasoning by distilling cross-view patch similarities rather than features, preserving language alignment with minimal overhead.

Kiet Nguyen, Hanbo Shim, Jinwoo Kim, Seunghoon Hong

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

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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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70%Highly rated
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Posterior Inference in Latent Space for Scalable Constrained Black-box Optimization

Reformulating constrained black-box optimization as latent-space posterior inference with flow-based surrogates and amortized diffusion sampling improves high-dimensional optimization performance.

Kiyoung Om, Kyuil Sim, Taeyoung Yun, Hyeongyu Kang 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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80%Must read
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Rethinking Forward Processes for Score-Based Nonlinear Data Assimilation in High Dimensions

MASF redesigns score-based filtering with a measurement-aware forward process that transforms states toward measurements, yielding accurate likelihood scores, stronger assimilation under sparse nonlinear observations, and up to 28.2x faster inference.

EUNBEE YOUN, Donghan Kim, Dae W Kim

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

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86%Must read
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ViTeX-Bench: Benchmarking High-Fidelity Video Scene Text Editing

ViTeX-Bench introduces a 387-video benchmark and evaluation protocol for high-fidelity video scene text editing, finding that accuracy, temporal stability, and edit locality remain hard to balance together.

Xinghao Chen, Xiangbo Gao, Jiongze Yu, Yuheng Wu and 1 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: 14 of 20 reviewers recommend it
lenient 5/5
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strict 2/5
78%Highly rated
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Contrastive Distribution Matching for Amortized Sequential Monte Carlo in Discrete Diffusion

CDM amortizes twisted SMC for discrete diffusion by learning a twist function via contrastive samples, adding under 5% overhead while outperforming baselines on text, DNA, protein, and LLM tasks.

Jaihoon Kim, Taehoon Yoon, Prin Phunyaphibarn, Seungjun Kim 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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lenient 3/5
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83%Must read
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On the Nature of Attention Sink that Shapes Decoding Strategy in Omni-LLMs

Attention sinks in Omni-LLMs serve as global representation biases rather than redundant heads, and the proposed OutRo decoding method improves video reasoning with minimal overhead.

Suho Yoo, Youngjoon Jang, Joon Son Chung

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

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57%Worth a look
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Bellman Residual Minimization for Control: Geometry, Stationarity, and Convergence

Bellman residual minimization for policy optimization achieves stable convergence with function approximation but lacks extensive study; foundational control results are established.

Donghwan Lee, Hyukjun Yang

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

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76%Highly rated
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CRePE: Curved Ray Expectation Positional Encoding for Unified-Camera-Controlled Video Generation

CRePE encodes tokens as depth-aware distributions along curved unified-camera rays to unify camera control, lens geometry, and external geometry guidance in video generation.

Seonghyun Jin, youngmin Kim, Sunwoo Park, Jong Chul Ye

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

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Atom-level Protein Representation Learning Improves Protein Structure Prediction

TriProRep pretrains structure-aware protein representations via joint amino-acid, backbone, and full-atom token recovery, improving homodimer co-folding, interaction prediction, and monomer structure prediction over sequence-only models.

Taewon Kim, Hyosoon Jang, Hyunjin Seo, Seonghwan Seo and 5 more

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

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lenient 4/5
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86%Must read
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SpatialClaw: Rethinking Action Interface for Agentic Spatial Reasoning

SpatialClaw uses a stateful Python kernel with step-wise code execution to enable flexible spatial reasoning, achieving 59.9% average accuracy across 20 benchmarks.

Seokju Cho, Ryo Hachiuma, Abhishek Badki, Hang Su and 7 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 115 on Hugging Face · Code ★ 433

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Before It Fades: Reinforcing Temporal Representations at Inference Time in VideoLLMs

VideoLLMs lose temporal representations across layers, so Temporal Activation Injection reinforces fading divergence at inference to improve video reasoning without training.

Youngwoo Shin, Yusung Ro, Minseo Kim, Junmo Kim

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 5 on Hugging Face · Code ★ 2

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AI panel: 15 of 20 reviewers recommend it
lenient 4/5
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72%Highly rated
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Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models

Reward Score Matching unifies reward-based diffusion and flow fine-tuning via value-guided score matching, clarifying tradeoffs and yielding simpler, more efficient designs.

Jeongjae Lee, Jinho Chang, Jeongsol Kim, Jong Chul Ye

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 4/5
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78%Highly rated
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ES-Merging: Biological MLLM Merging via Embedding Space Signals

ES-Merging estimates merging coefficients from embedding space signals to combine biological multimodal models, improving cross-modal reasoning and single-modal knowledge preservation.

Wonbin Lee, Dongki Kim, Sung Ju Hwang

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

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
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78%Highly rated
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POP: Online Structural Pruning Enables Efficient Inference of Large Foundation Models

POP enables context-conditioned online structural pruning of foundation models via coarse-to-fine partitioned masking without offline calibration or retraining, improving accuracy with lower latency.

Yi Chen, Wonjin Shin, Shuhong Liu, Tho Mai 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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lenient 5/5
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GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation

GeoCore-9B is a 9-billion-parameter diffusion model trained from scratch on global earth observation data that conditions generation on geospatial metadata and achieves state-of-the-art visual fidelity and geographic accuracy.

Jeonghyeok Do, Munchurl Kim

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

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lenient 5/5
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VocalCoachBench: Benchmarking Audio-Language Models on Expert Feedback for Singing

VocalCoachBench benchmarks audio-language models on expert singing feedback, revealing they identify broad vocal issues but fall below baselines on fine-grained diagnosis and strict alignment.

Hayeon Bang, Hounsu Kim, Wonil Kim, Juhan Nam

Sydney Poster Session 1, Tue, Dec 8, 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
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strict 3/5
74%Highly rated
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PISCO: Precise Video Instance Insertion with Sparse Control

PISCO enables precise video instance insertion via sparse keyframe control while preserving dynamics, achieving monotonic gains with added signals and outperforming editing baselines.

Xiangbo Gao, Renjie Li, Xinghao Chen, Yuheng Wu and 4 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 13 on Hugging Face · Code ★ 62

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lenient 5/5
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71%Highly rated
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Lost in Translation, Found in Embeddings: Sign Language Translation and Alignment

A unified sign-language model with privacy-preserving keypoint inputs and sliding perceiver aggregation achieves state-of-the-art translation and alignment on BSL and generalizes to ASL.

Youngjoon Jang, Liliane Momeni, Zifan Jiang, Joon Son Chung and 2 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
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Pose6DAug: Physically Plausible Multi-View Object Swapping for Robot Data Augmentation

Pose6DAug augments robot training by swapping objects in successful episodes via 3D mesh pose trajectories, improving VLA success on novel objects by 16.5%.

Jonghoon Lee, Seong Hyeon Park, Minha Lee, Byungwoo Jeon and 1 more

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

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lenient 5/5
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Probability-Conserving Flow Guidance

Guidance decomposes into divergence and score-parallel terms via the continuity equation; AdaMaG bounds both to improve flow-based generation realism and reduce hallucinations without added cost.

Parsa Esmati, Junha Hyung, Amirhossein Dadashzadeh, Jaegul Choo and 1 more

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

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lenient 3/5
medium 8/10
strict 3/5
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ECG-Reasoning-Benchmark: A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation

A new benchmark reveals current multimodal AI fails at multi-step ECG reasoning, achieving near-zero completion in linking clinical criteria to visual signal evidence.

Jungwoo Oh, Hyunseung Chung, Junhee Lee, Min-Gyu Kim and 5 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 6 on Hugging Face · Code ★ 18

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
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Mixture-Trained Merging for Unified Multi-Objective Models

Mixture-Trained Merging trains multi-objective branches on biased data mixtures to enable compatible weight-space merging, outperforming naive merging while preserving distinct capabilities.

SeongHyeon Kim, Chaeyun Jang, Seungyoo Lee, Jiyeon Ham and 3 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: 14 of 20 reviewers recommend it
lenient 5/5
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78%Highly rated
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WebSpline: Structure-Informed Splines for Real-Time 3D Gaussians from Monocular Videos

WebSpline uses structure-informed splines and a structural proxy graph to reconstruct dynamic 3D scenes from monocular video with state-of-the-art quality and over 10x faster rendering than prior methods.

Jongmin Park, Jeonghwan Yun, Minh-Quan V Bui, Munchurl Kim

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

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
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89%Must read
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Learning to Solve Generative ODEs Beyond the Linear Span

SpanLift augments scalar ODE solvers with a spatial residual operator to overcome span limitations, achieving state-of-the-art few-step generative sampling without extra model evaluations.

Sihyeon Kim, Seunghun Lee, Vikas Singh, Hyunwoo J. Kim

Sydney Poster Session 1, Tue, Dec 8, 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 10/10
strict 2/5
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TrackCraft3R: Repurposing Video Diffusion Transformers for Dense 3D Tracking

TrackCraft3R repurposes video diffusion transformers for feed-forward dense 3D tracking via dual latents and temporal alignment, achieving state-of-the-art results with lower memory and faster speed.

Jisu Nam, Jahyeok Koo, Soowon Son, Jaewoo Jung and 3 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 37 on Hugging Face · Code ★ 139

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
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80%Must read
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BASTION: Budget-Aware Speculative Decoding with Tree-structured Block Diffusion Drafting

BASTION uses budget-aware tree-structured block diffusion drafting and adaptive expansion to achieve up to 6.61x speedup over autoregressive decoding, outperforming baselines by 39%.

Soowon Oh, Nam Cao, Yujin Kim, Hojung Jung and 3 more

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

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AI panel: 12 of 20 reviewers recommend it
lenient 2/5
medium 9/10
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A Systematic Evaluation of Co-folding Model Representations for Small-Molecule Learning

Boltz2's protein-ligand co-folding representations match or outperform standalone models on ADMET, generative modeling, and ligand optimization tasks while complementing conventional molecular supervision.

Hyosoon Jang, Hyunjin Seo, Honghui Kim, Taewon Kim and 3 more

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

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
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Controllable Dynamic 3D Shape Generation via 3D Trajectories and Text

T2Mo generates dynamic 3D shapes via feed-forward conditioning on 3D trajectories and text, with shape-grounded trajectory embeddings handling arbitrary trajectory densities to improve motion fidelity.

Jaeyeong Kim, Inès H Kim, Jahyeok Koo, Seungryong Kim

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

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AI panel: 7 of 20 reviewers recommend it
lenient 4/5
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