AgentGrad: Intervention-guided Prompt Optimization for Multi Agent Systems

AgentGrad improves multi-agent prompt optimization via sequential intervention and semantic gradient clustering, achieving state-of-the-art performance with 2.5x faster optimization and 21.8% lower cost.

Jaewon Chu, jinwoo seo, Jaewon Cho, Jeehye Na and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 107 on Hugging Face

CollabVR: Collaborative Video Reasoning with Vision-Language and Video Generation Models

CollabVR pairs vision-language models with video generation models in closed-loop step-level planning and verification, reducing drift and simulation errors for major video reasoning gains.

Joowon Kim, Seungho Shin, Joonhyung Park, Eunho Yang

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 71 on Hugging Face · Code ★ 10

Continuous Audio Thinking for Large Audio Language Models

Gyojin Han, DongJae Lee, Changho Choi, Jongsuk Kim and 1 more

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

PRISM: Principal Subspace Alignment for Parameter-Efficient Fine-Tuning

Anh Tong, Kyowoon Lee, Jaesik Choi

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

Refining Compositional Diffusion for Reliable Long-Horizon Planning

Kyowoon Lee, Yunhao Luo, Anh Tong, Jaesik Choi

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

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

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

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

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

Memoir: Let the Model Direct Its Own Story for Robust Cross-Domain Knowledge Editing

Jea Kwon, Jiwon Kim, Dong Kyum Kim, Meeyoung Cha

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

InfCLIP: Unified Data Valuation for CLIP Pretraining via Influence-Inspired Scoring

Nohyun Ki, Hye Won Chung

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

Attention Sinks as Spectral Spikes: A Mechanism Analysis of Gated Attention

Seojin Kim, Yehjin Shin, Noseong Park

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

SKIM: Pruning Large Language Model Agents via Selective Knowledge Informed Masking

Moonseok Choi, Giung Nam, Jongwon Jeong, Minki Kang and 1 more

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

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

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

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

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

SAVE: Sparsity-Aware Influence Estimation for Vocabulary-Expanded LLMs

Seungyoo Lee, Giung Nam, Seanie Lee, Hyungi Lee and 1 more

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

Latent Reasoning in Continuous Space for Unified Multimodal Models

Byungwoo Jeon, Yoonwoo Jeong, Hyunseok Lee, Minsu Cho and 1 more

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

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

TPRL: Adaptive Visual Token Pruning in LVLMs via Language-Guided Reinforcement Learning

Sihan Cao, Jianwei Zhang, Pengcheng Zheng, Jiaxin Yan and 6 more

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

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

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

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

TimeOperator: A Function-to-Function Approach to Time Series Modeling

SheoYon Jhin, B. Aditya Prakash, Noseong Park

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

Deconstructing Multi-Task Active Learning: The Paradox of Gradient Conflict and Orthogonal Decomposition

Juho Jung, Seongjae Kang, Jinyoung Han

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

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

PROLA: Principal-Orthogonal Low-rank Adaptation for Predictive Spatiotemporal Weather Downscaling

Minseo Yoon, Minseong Bae, Sojin Lee, Hyunwoo J. Kim

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

Ask KG Agent: A Multi-Agent Framework for Code Localization Using Code and Knowledge Graphs

Chanyoung Chung, Jeemin Kim, Joyce Whang

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

Looking Through the Mirror: Minimax-Optimal Regularized Regrets in Online Learning and Bandits

Junghyun Lee, Yujun Kim, Chulhee Yun, Se-Young Yun

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

Variational Monte Carlo for Quantum Excited States via Nested Low-Rank Approximation

Minchan Jeong, Jongha (Jon) Ryu, Se-Young Yun, Gregory Wornell

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

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

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

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

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

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

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

Competing Event Models: Next Event Prediction Under Interventions

Yoav Wald, Xiang Gao, Sumit Chopra, Juho Lee and 1 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

Context-Aware Generative Imputation for Robust Multimodal Learning in Missing Modality Scenarios

Jungwon Choi, Juho Lee

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

Offline Constrained Reinforcement Learning under Partial Data Coverage

Seokmin Ko, Ambuj Tewari, Kihyuk Hong

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

BQ-LoRA: Binary-Quantized Low-Rank Adapters as Implicit Regularizers for Parameter-Efficient Fine-Tuning

Juyoung Park, Heejun Lee

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

Collaborative Reasoning Distillation via Cross-Feedback and Coherent Curation

Taehoon Kim, Seunggeun Cho, Dongsu Han

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

A Structured LLM Framework for Inorganic Material Synthesis Planning

Heewoong Noh, Gyoung S. Na, Namkyeong Lee, Chanyoung Park

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

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

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

Training-Free Active Test-Time Adaptation for Vision-Language Models

Jihwan Bang, Sumyeong Ahn, Hwanjun Song, Jae-Gil Lee

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

Dual Feature-Relational Alignment for Transferable Targeted Attacks on MLLMs

Dongshen Han, Xiaorong Tian, Sheng Zheng, Zishan Huang and 5 more

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

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

Probabilistic Recursive Reasoning

Junyeob Baek, Mingyu Jo, Minsu Kim, Mengye Ren and 2 more

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

Beyond Training Time, Test-Time Coordination is Essential for Cooperative MARL

Dongsu Lee, Sooraj Sathish, Joonkyung Kim, Woojun Kim and 1 more

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

CRISP: Compositional Reasoning over Images via Stackable Programs for VLMs

Arnas Uselis, Yujin Jeong, Yanpeng Zhao, Alexander Rubinstein and 3 more

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

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

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

Is the Importance Ratio Necessary for Stable Reinforcement Learning in LLMs?

Shuibai Zhang, Junhyuck Kim, Gyeongman Kim, Jaewoong Cho

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

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

Rethinking Memorization–Generalization Trade-Off in Generative Models

Jiseok Chae, Kyuwon Kim, Donghwan Kim

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

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

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

Visual Anchoring for Scenario-Guided Forecasting

Patara Trirat, Jay Heo, Heejun Lee, Sung Ju Hwang

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

Global Importance Estimation for KV Cache Eviction

Seojin Kim, Noseong Park

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

Rethinking Credit Assignment in Cooperative MARL via Interventional Reward Response

Chamjin Joo, Myounghoon Ha, Sang Wan Lee

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

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

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

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

Temporal Alignment Guidance: On-manifold Sampling in Diffusion Models

Youngrok Park, Hojung Jung, Sangmin Bae, Se-Young Yun

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

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

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

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

Root-Selecting Fixed-Point Inversion for Rectified Flows via Trajectory Straightness

SelFix selects fixed-point solutions by trajectory straightness for rectified flow inversion, improving reconstruction and editing accuracy.

Semin Kim, Jihwan Yoon, Seunghoon Hong

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

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

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

Logistic Bandits with $\tilde{O}(\sqrt{dT})$ Regret without Context Diversity Assumptions

SupSplitLog achieves near-optimal logistic bandit regret without context diversity assumptions via sample splitting and Newton-type corrections.

Seoungbin Bae, Dabeen Lee

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

AtomMOF: All-Atom Flow Matching for MOF-Adsorbate Structure Prediction

AtomMOF uses all-atom flow matching to predict MOF and adsorbate structures directly from 2D graphs, improving match rates and sampling efficiency.

Nayoung Kim, Honghui Kim, Sihyun Yu, Minkyu Kim and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · Code ★ 19

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 ★ 6

LENS: Low-Frequency Eigen Noise Shaping for Efficient Diffusion Sampling

LENS modulates low-frequency noise subspaces via a lightweight network to boost distilled diffusion quality, cutting compute and parameters by orders of magnitude versus prior methods.

Haewon Jeon, Si-Hyeon Lee

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

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

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

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

Reason in the Words You Speak: Idiolectal Paraphrasing Off-Policy Traces for Reasoning Distillation in VideoLLMs

Echo-GRPO rewrites off-policy reasoning traces into a student VideoLLM's idiolect to avoid gradient clipping, improving reasoning distillation across backbones and benchmarks.

Ji Soo Lee, Jinyoung Park, Seohyun Lee, Jongha Kim and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 24 on Hugging Face

Instance-Optimal Estimation with Multiple LLM Judges on a Budget

EST-IVWE adaptively allocates a budget across judges and instances via biased variance estimates to achieve instance-optimal score estimation, with matching local minimax lower bounds.

Junghyun Lee, Sanghwa Kim, Yassir Jedra, Alexandre Proutiere and 1 more

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

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

Flow Map Language Models: One-step Language Modeling via Continuous Denoising

Continuous flow language models outperform discrete diffusion in quality and speed, and distilling their unique flow map enables one-step generation surpassing eight-step discrete diffusion.

Chanhyuk Lee, Jaehoon Yoo, Manan Agarwal, Sheel Shah and 5 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 4 on Hugging Face · Code ★ 172

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

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

Coarse-to-Fine Compositional Diffusion for Long-Horizon Planning

CoFi separates global structure formation from local refinement via coarse scaffolds, improving long-horizon compositional diffusion coherence with 2-8x fewer denoiser evaluations.

Byoungwoo Park, Utkarsh Mishra, Jaemoo Choi, Juho Lee and 1 more

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

GenRec: Knowing Where to Reconstruct and Where to Generate

GenRec separates reconstruction and generation via observation masks to preserve fidelity in visible regions while synthesizing plausible unobserved content.

Ata Çelen, Jaewoo Jung, Federico Tombari, Marc Pollefeys and 3 more

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

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

FiTS: Interpretable Spiking Neurons via Frequency Selectivity and Temporal Shaping

FiTS introduces frequency-selective, temporally shaped spiking neurons that improve feedforward SNN accuracy on auditory tasks while yielding interpretable frequency and timing organization.

Jongmin Choi, Joon Son Chung

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

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

ExComm: Exploration-Stage Communication for Error-Resilient Agentic Test-Time Scaling

ExComm detects cross-agent factual conflicts during exploration to correct errors via soft belief updates and trajectory diversification, improving test-time scaling by up to 5.7%.

Woomin Song, Beomjun Kim, Daewon Choi, Sai Muralidhar Jayanthi and 3 more

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

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

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

CrafterDojo: A Suite of Foundation Models for Building Open-Ended Embodied Agents in Crafter

CrafterDojo introduces CrafterVPT, CrafterCLIP, and CrafterSteve-1 alongside toolkits to unlock Crafter as a lightweight testbed for open-ended embodied agents.

Junyeong Park, Hyeonseo Cho, Sungjin Ahn

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

PatchKV: Weight Space Compensation of KV Cache

PatchKV improves KV cache compression by computing a context-specific weight patch via ridge regression to align compressed and full-cache activations, preserving long-context accuracy without increasing per-query cost.

Chanryeol Lee, Chanhyuk Lee, Yeonwoo Choi, Donggyun Kim and 1 more

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

Retrieve What’s Missing: Coverage-Maximizing Retrieval for Consistent Long Video Generation

COVRAG uses depth-based coverage maps and residual-gain frame selection to improve long-horizon geometric consistency in autoregressive video generation with low latency.

Minseok Joo, Dogyun Park, Taehoon Lee, Kyujin Lee and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 25 on Hugging Face

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

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

Preference-Guided Adaptation for Open-Vocabulary Semantic Segmentation via Prompt Disagreement

A preference-guided framework adapts open-vocabulary segmentation using prompt disagreement as binary supervision, yielding consistent benchmark gains without pixel-level masks.

Hyun-Kurl Jang, Jihun Kim, Kuk-Jin Yoon

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