MimicDreamer: Aligning Human and Robot Demonstrations for Scalable VLA Training

Kavli Affiliate: Zheng Zhu | First 5 Authors: Haoyun Li, Haoyun Li, , , | Summary: Vision Language Action (VLA) models derive their generalization capability from diverse training data, yet collecting embodied robot interaction data remains prohibitively expensive. In contrast, human demonstration videos are far more scalable and cost-efficient to collect, and recent studies confirm […]


Continue.. MimicDreamer: Aligning Human and Robot Demonstrations for Scalable VLA Training

MimicDreamer: Aligning Human and Robot Demonstrations for Scalable VLA Training

Kavli Affiliate: Zheng Zhu | First 5 Authors: Haoyun Li, Haoyun Li, , , | Summary: Vision Language Action (VLA) models derive their generalization capability from diverse training data, yet collecting embodied robot interaction data remains prohibitively expensive. In contrast, human demonstration videos are far more scalable and cost-efficient to collect, and recent studies confirm […]


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Revealing Adversarial Smart Contracts through Semantic Interpretation and Uncertainty Estimation

Kavli Affiliate: Gang Su | First 5 Authors: Yating Liu, Yating Liu, , , | Summary: Adversarial smart contracts, mostly on EVM-compatible chains like Ethereum and BSC, are deployed as EVM bytecode to exploit vulnerable smart contracts for financial gain. Detecting such malicious contracts at the time of deployment is an important proactive strategy to […]


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Consistency-Aware Parameter-Preserving Knowledge Editing Framework for Multi-Hop Question Answering

Kavli Affiliate: Long Zhang | First 5 Authors: Lingwen Deng, Lingwen Deng, , , | Summary: Parameter-Preserving Knowledge Editing (PPKE) enables updating models with new or corrected information without retraining or parameter adjustment. Recent PPKE approaches based on knowledge graphs (KG) to extend knowledge editing (KE) capabilities to multi-hop question answering (MHQA). However, these methods […]


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TsqLoRA: Towards Sensitivity and Quality Low-Rank Adaptation for Efficient Fine-Tuning

Kavli Affiliate: Long Zhang | First 5 Authors: Yu Chen, Yu Chen, , , | Summary: Fine-tuning large pre-trained models for downstream tasks has become a fundamental approach in natural language processing. Fully fine-tuning all model parameters is computationally expensive and memory-intensive, especially in resource-constrained environments. Existing parameter-efficient fine-tuning methods reduce the number of trainable […]


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CPCLDETECTOR: Knowledge Enhancement and Alignment Selection for Chinese Patronizing and Condescending Language Detection

Kavli Affiliate: Long Zhang | First 5 Authors: Jiaxun Yang, Jiaxun Yang, , , | Summary: Chinese Patronizing and Condescending Language (CPCL) is an implicitly discriminatory toxic speech targeting vulnerable groups on Chinese video platforms. The existing dataset lacks user comments, which are a direct reflection of video content. This undermines the model’s understanding of […]


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Remote Sensing-Oriented World Model

Kavli Affiliate: Biao Huang| First 5 Authors: Yuxi Lu, Yuxi Lu, , , | Summary:World models have shown potential in artificial intelligence by predicting and reasoning about world states beyond direct observations. However, existing approaches are predominantly evaluated in synthetic environments or constrained scene settings, limiting their validation in real-world contexts with broad spatial coverage […]


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Spin PN Junctions: Giant Magnetoresistance, Tunable Circular Polarization, and Spin Zener Filter

Kavli Affiliate: Gang Su | First 5 Authors: Chun-Yi Xue, Chun-Yi Xue, , , | Summary: We demonstrate that spin PN junctions-magnetic semiconductor homojunctions with spin splitting-induced band offsets-fundamentally redefine carrier transport via spin-dependent recom bination probabilities. By integrating this mechanism into the Shockley model, we predict a near 100 enhancement in magnetoresistance sensitivity under […]


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MS-GS: Multi-Appearance Sparse-View 3D Gaussian Splatting in the Wild

Kavli Affiliate: Cheng Peng | First 5 Authors: Deming Li, Deming Li, , , | Summary: In-the-wild photo collections often contain limited volumes of imagery and exhibit multiple appearances, e.g., taken at different times of day or seasons, posing significant challenges to scene reconstruction and novel view synthesis. Although recent adaptations of Neural Radiance Field […]


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MS-GS: Multi-Appearance Sparse-View 3D Gaussian Splatting in the Wild

Kavli Affiliate: Cheng Peng | First 5 Authors: Deming Li, Deming Li, , , | Summary: In-the-wild photo collections often contain limited volumes of imagery and exhibit multiple appearances, e.g., taken at different times of day or seasons, posing significant challenges to scene reconstruction and novel view synthesis. Although recent adaptations of Neural Radiance Field […]


Continue.. MS-GS: Multi-Appearance Sparse-View 3D Gaussian Splatting in the Wild