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Showing papers from Huazhong University of Science and Technology Show all papers

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StreamPI: Streaming Multimodal Temporal Modeling for Vision-Language-Action Models

Zhe Liu, Jinghua Hou, Yuxiang Lu, Zhenya YANG and 6 more

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

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MemTailor: Hierarchical Memory-Augmented Multi-Expert Learning for Long-Tailed Recognition

Yuyang Sun, Senyang Su, Xiaotian Wang, Pengkun Wang 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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NORMA: Norm-Guided Explanation Subgraph Discovery

Xiangyu Fu, Wei Liu, Jun Wang, Yang Qiu and 2 more

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

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HyperSkill: Multi-Modal Skill Learning on the Unit Hypersphere

Erdemt Bao, JunChen, Weijun Qin, Shaopeng Li and 5 more

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

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Grounding 3D Affordance from Human-Object-Interaction Videos via Multimodal Large Language Model

Hanqing Wang, Mingyu Liu, Xiaoyu Chen, Chengwei MA 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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Object Hallucination Mitigation in Large Vision-Language Models via Self-Vision Dual Masking and Uncertainty-Triggered Assembly

Ziji Sheng, Guiyao Tie, Weidong Wang, Jiawen Shi and 7 more

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

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Mitigating Compounding Errors in Online Reinforcement Learning via Optimal Transport Regularized Flow Matching

Boxiang Tao, Lei Guo, Bin Wang, Zexin Wang and 1 more

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

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Cross-Model Transfer Attacks against Large Vision-Language Models via Model Diversity Enrichment and Stochastic Parameter Sampling

Zhenze Yang, Xiaowen Cai, Junhao Dong, Guangke Chen and 7 more

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

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MMLongCite: A Benchmark for Evaluating Faithfulness of Long-Context Vision-Language Models

Keyan Zhou, Zecheng Tang, Lingfeng Ming, Qiguang Chen 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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SEEK-VAU: Towards Evidence-Faithful Video Anomaly Understanding via Agentic Search

MINGHE WANG, Weijun Zeng, Dapeng Luo, Xinyue Wang 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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PreCoMem: Predictive Cognitive Memory for Self-Evolving Long-Term Dialogue Agents

Jian Zhong, Zeyu Liu, Pingchuan Cao, Rongduo Han and 7 more

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

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Z-Cache: Accelerating Diffusion Transformers via Self-Reflection

Zegang Cheng, Zhikai Wang, Jiacheng Liu, Xiaobing Tu and 7 more

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

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MetaPI: Constructing Prompt Injection Benchmarks from Any Agent Benchmarks

Peiran Wang, Chong Xiang, Wenjie Qu, Ying Li and 3 more

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

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SeaPilot: Mobile Agent with Self-refining Environment Alignment

Zhigang Zuo, Senyao Li, Yufeng Jiang, Haozhao Wang 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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FedProG: Federated Graph Learning via Server-Side LLM Semantic Bridging and Uncertainty-Aware Distillation

Haitao Wang, Haozhao Wang, Wenchao Xu, Yichen Li and 4 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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lenient 1/5
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Who Should Evolve? Uncertainty-Aware Role Bottleneck Inference for Multi-Agent LLM Training

Qiyu Qin, Yichen Li, Haozhao Wang, Tianzhe Xiao 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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Personalized Safety in Federated Fine-Tuning of Large Language Models

Tianzhe Xiao, Gaozhuo Liu, Yichen Li, Haozhao Wang 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 1/5
medium 0/10
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FedTrace: Generated-Content-Based Watermark Verification for Traitor Tracing in Federated Learning

Tianzhe Xiao, Haozhao Wang, Yichen Li, Qiyu Qin and 2 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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When the Most Disruptive Messages Are Safe to Prune in Aggregate: Functional Analysis of Communication Pruning in Two-Agent LLM Systems

Zhen Sun, Xueyang Zhou, Yongchao Chen

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

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Budget-Conditioned Clipping Policies for Differentially Private Federated Learning

Hao Zhou, SiQi Cai, Hua Dai, Letian Sha and 2 more

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

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NeuroMem: A Neuroplastic Memory Framework for Lifelong Agents through Delayed Consolidation

Yingyi Cheng, Xueqiang Han, Chen Yu

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

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The Cost of Mismatch: Noise Amplification in Zeroth-Order Reinforcement Learning

Lianmin Chen, Junbin Qiu, Chenxing Wei, Yao SHU 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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From Finding to Linking: Benchmarking and Advancing Cross-Long-Video Reasoning for Multimodal LLMs

Meng Luo, Zikang Zhou, Shanqing Xu, Shize Zhang and 4 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
medium 0/10
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69%Highly rated
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MixForensics: Blend Before You Encode for Generalizable AI-Generated Video Detection

Ruiqi Liu, ZiAn Wang, Ruoxin Chen, Xuehai Bai and 5 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: 3 of 20 reviewers recommend it
lenient 2/5
medium 1/10
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MIRROR: Manifold Ideal Reference ReconstructOR for AI-Generated Image Detection

Ruiqi Liu, Manni Cui, Ziheng Qin, Zhiyuan Yan and 10 more

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

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KuaiRecV2: Benchmarking Large-Scale Continual Learning for Diversified and Multi-task Recommendation

Chenxu Li, Shuchang Liu, Hantao Shu, Wei Yuan and 14 more

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
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Reinforcement learning enhanced flow matching for reference-based tumor generation on unpaired CT images

Xiaoxuan Gong, Zhilin Zheng, Tiancheng Lin, Qinji Yu and 8 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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RaVF: Learning Radar Velocity Fields via Spatial-Doppler Guidance

SHENGPENG WANG, Lingzhen Li, Chunshen Li, Fei Xiao 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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Rethinking Contrastive Loss in CLIP Post-training: A Complementary Framework with Frozen Text Encoder

Zidan Wang, Yaqian Li, xiaokai zhang, Kun He 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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Think Densely, Act Sparsely: Latent Expert Cognitive Chains for Vision-Language-Action Autonomous Driving

Jie Wang, Guang Li, Zhijian Huang, Jinlong Li 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 2/5
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VERITAS: Veracity-Enhanced Robust Identification of LLM-generated Text Against Style-shifts

Xiaoquan Yi, Haozhao Wang, Yichen Li, Wenchao Xu 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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Heterogeneity-aware Distillation for Federated Continual Learning

Gaozhuo Liu, Yichen Li, Xiuying Wang, Yulong Li and 3 more

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

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Rehearsal-Free Statistical Prototype Regularization for Federated Incremental Learning

Xiuying Wang, Yichen Li, Jiahua Cheng, Xiwei Liu and 3 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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3R-Adapter: Retrieval, Rewiring, and Refinement for Efficient Adaptation of 3D Reconstruction Model

Zixiang Ai, Zhenyu Cui, Xu Zou, Jiahuan Zhou

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

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The Deadline Effect: Identifying and Correcting Temporal Bias in Human Evaluation

Shiyan Liu

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

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Advancing Narrative Long Video Generation via Training-Free Identity-Aware Memory

IAMFlow is a training-free identity-aware memory framework that tracks persistent entities across prompts to generate consistent long narrative videos, achieving best benchmark scores and faster inference.

Jinzhuo Liu, Jiangning Zhang, Wencan Jiang, Yabiao Wang 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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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5
74%Highly rated
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SRL-MPC: Shape-Aware Reinforcement Learned Model Predictive Control

SRL-MPC integrates reinforcement-learned parameter updates with shape-aware model predictive control via geometric separation features to navigate dense heterogeneous robot crowds safely and adaptively.

Ruihua Han, Rui Gao, Zhe Liu, Xinyi WANG and 5 more

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

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AI panel: 9 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 0/5
83%Must read
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Existence Precedes Value: Joint Modeling of Observational Existence and Evolving States in Time Series Forecasting

Timeflies jointly infers whether future observations exist and predicts their values, outperforming methods that assume future observation times are known.

Yifan Hu, Hongzhou Chen, Peiyuan Liu, Yiding Liu 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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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 0/5
83%Must read
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Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion

MORA rewrites prompts to expand multi-dimensional reward diversity and breaks the safety-helpfulness trade-off, improving sequential single-preference alignment by up to 12.4% and simultaneous alignment by 4.6%.

ShiYing Huang, Liang Lin, Yuer Li, Kaiwen Luo and 5 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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Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill Memory

SkeMex improves medical agents via self-evolving skill memory that distills reusable procedural knowledge, governs retention by utility, and outperforms memory-based agents across clinical tasks.

Haoran Sun, Wenjie Li, Yujie Zhang, Zekai Lin and 7 more

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

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
80%Must read
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EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting

EO-WM is a diffusion transformer that forecasts satellite imagery via physically structured weather conditioning and improves vegetation-decline prediction accuracy by up to 7.8% on new diagnostic benchmarks.

Junwei Luo, Shuai Yuan, Zhenya YANG, Yansheng Li and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 3 on Hugging Face · Code ★ 33

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lenient 5/5
medium 6/10
strict 1/5
86%Must read
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SUGAR: A Scalable Human-Video-Driven Generalizable Humanoid Loco-Manipulation Learning Framework

SUGAR converts human videos into humanoid loco-manipulation skills via automated priors, physics refinement, and policy distillation, scaling with video data and enabling zero-shot real-world transfer.

Tianshu Wu, Xiangqi Kong, Yue Chen, Qize Yu 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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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5
88%Must read
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Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection

Standard video backbone readouts suppress patch-level temporal dynamics needed to detect AI-generated videos; a lightweight velocity-gated patch profiling readout reaches 95.28 AUC on frozen backbones.

Manni Cui, Ziheng Qin, ZiAn Wang, Ruiqi Liu and 7 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 1/5
86%Must read
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ITO: Multi-View Alignment and Training-Time Fusion for Image-Text Pretraining

ITO improves image-text pretraining via multi-view cross-modal alignment and discarded training-time fusion, beating CLIP at 100M-1B scale on classification and retrieval.

Hanpeng Liu, Yaqian Li, Zidan Wang, Shuoxi Zhang and 5 more

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

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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 2/5
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StableVQ: Practical Guidelines for Stable Vector-Quantized Tokenizer Training

StableVQ decouples encoder-decoder and codebook training via Dynamic STE, Region VQ Loss, and independent schedules to stabilize VQ tokenizers and boost utilization and reconstruction.

Bao Tang, Jiahao Guo, Haoxiang Cao, Wenyu Liu 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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TMPO: Trajectory Matching Policy Optimization for Diverse and Efficient Diffusion Alignment

TMPO replaces scalar reward maximization with trajectory-level reward distribution matching via Softmax Trajectory Balance, improving diffusion alignment diversity by 9.1% while avoiding reward hacking and mode collapse.

Jiaming Li, Chenyu Zhu, Zhiyuan Ma, Nanxi Yi and 8 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 3 on Hugging Face

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 2/5
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PointForward: Feedforward Driving Reconstruction through Point-Aligned Representations

PointForward reconstructs driving scenes via world-space 3D queries and scene graphs, achieving state-of-the-art feedforward results with explicit cross-view and instance consistency.

Cheng Chi_, Xianqi Wang, Hongcheng Luo, Mingfei Tu 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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Next Forcing: Causal World Modeling with Multi-Chunk Prediction

Next Forcing uses multi-chunk prediction to accelerate convergence 2.3x, boost high-frame-rate accuracy 93.1%, and double inference speed for world models.

Gangwei Xu, Qihang Zhang, Jiaming Zhou, Xing Zhu and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 8 on Hugging Face · Code ★ 136

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 2/5
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DoAtlas-1: A Causal Compilation Paradigm for Clinical AI

DoAtlas-1 introduces causal compilation to convert medical evidence into executable causal estimands, achieving 98.5% canonicalization accuracy and 80.5% query executability across 1,445 effect kernels.

Yulong Li, Jianxu Chen, Xiwei Liu, Chuanyue Suo and 7 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: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
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LaMo: Self-Supervised Latent Motion Priors for Physical Realism in Video Generation

LaMo extracts self-supervised latent motion priors from unlabeled videos via motion drift loss and prior guidance, improving physical consistency in video diffusion without external supervision.

Bo Jiang, Depu Meng, yihan hu, Yichen Xie 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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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 0/5
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Teaching Video Generators to Remember: Eliciting Dynamic Memory for Out-of-Sight State Evolution

ReMind trains video diffusion transformers to use cache memory for evolving hidden states across interruptions via memory-oriented curricula and PM-RoPE, achieving best STEVO-Bench scores without catastrophic forgetting.

Tianshuo Xu, Yichen Xie, Depu Meng, Chensheng Peng 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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AI panel: 13 of 20 reviewers recommend it
lenient 3/5
medium 9/10
strict 1/5
76%Highly rated
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Falcon-X: A Time Series Foundation Model for Heterogeneous Multivariate Modeling

Falcon-X maps heterogeneous time series variates into a unified latent prototype space using diff-attention and latent entity attention to enable cross-variate modeling and zero-shot structural transfer with strong forecasting results.

Yiding Liu, Yifan Hu, Hongjie Xia, Peiyuan Liu and 4 more

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

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AI panel: 10 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 0/5
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MDPBench: A Benchmark for Multilingual Document Parsing in Real-World Scenarios

MDPBench introduces a 3,400-image multilingual document parsing benchmark across 17 languages revealing open-source models suffer severe performance drops on photographed and non-Latin script documents.

Zhang Li, Lin Zhibo, Qiang Liu, Ziyang Zhang and 6 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 9 on Hugging Face · Code ★ 895

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5
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K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs

K12-KGraph introduces a curriculum-aligned K-12 knowledge graph, benchmark, and training data showing current LLMs achieve under 57 percent accuracy on curriculum cognition and that graph-guided supervision outperforms generic instruction tuning.

Hao Liang, Qihan Lin, Mingrui Chen, Hengyi Feng and 6 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 62 on Hugging Face · Code ★ 392

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AI panel: 19 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 4/5
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LatentUM: Unleashing the Potential of Interleaved Cross-Modal Reasoning via a Latent-Space Unified Model

LatentUM unifies modalities in a shared latent space to enable efficient interleaved cross-modal reasoning and generation, achieving state-of-the-art visual planning and self-reflective generation results.

Jiachun Jin, Zetong Zhou, Xiao Yang, Hao Zhang and 3 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 29 on Hugging Face · Code ★ 63

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 1/5
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FASTER: Rethinking Real-Time Flow VLAs

FASTER accelerates real-time flow vision-language-action models via horizon-aware sampling that compresses immediate-action denoising into one step, slashing reaction latency on dynamic robot tasks.

Yuxiang Lu, Zhe Liu, Xianzhe Fan, Zhenya YANG and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 61 on Hugging Face · Code ★ 157

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 2/5
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Efficient Serving for Dynamic Agent Workflows with Prediction-based KV-Cache Management

PBKV predicts future agent invocations in dynamic LLM workflows to manage KV-cache reuse, achieving up to 1.85x speedup over LRU.

Haoyu Zheng, Fangcheng Fu, Jia Wu, Binhang Yuan and 5 more

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

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 1/5
80%Must read
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M$^\star$: Every Task Deserves Its Own Memory Harness

M* evolves task-specific memory programs via reflective code search to outperform fixed-memory agents across diverse benchmarks. Evolved harnesses develop structurally distinct mechanisms per domain, showing specialization beats general-purpose memory.

Wenbo Pan, Shujie LIU, Xiangyang Zhou, Xianlong Wang and 4 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: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
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GARDO: Reinforcing Diffusion Models without Reward Hacking

GARDO selectively regularizes high-uncertainty diffusion samples and adaptively updates reference models to prevent reward hacking while preserving diversity and sample efficiency.

Haoran He, Yuxiao YE, Jie Liu, Jiajun Liang and 7 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 30 on Hugging Face · Code ★ 63

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
71%Highly rated
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Stable Long-Horizon PDE Forecasting via Latent Structured Spectral Propagators

A structured spectral propagator in a latent space improves long-horizon PDE forecasting stability, reducing relative L2 errors by up to 48.9% versus state-of-the-art methods.

Xiaoxiao Lu, Ye Yuan, Jiahao Shi

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 3/5
medium 4/10
strict 0/5