Suchergebnisse - (decoding OR coding) (Algorithmsssicics OR (algorithm OR (algorithm OR algorithm)))

ObliInjection: Order-Oblivious Prompt Injection Attack to LLM Agents with Multi-source Data von Wang, Reachal, Jia, Yuqi, Gong, Neil Zhenqiang

Inhaltsangabe: “… the clean and contaminated segments are ordered; and the orderGCG algorithm, which is tailored to minimize …”
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UniBYD: A Unified Framework for Learning Robotic Manipulation Across Embodiments Beyond Imitation of Human Demonstrations von Yuan, Tingyu, Guan, Biaoliang, Ye, Wen, Tian, Ziyan, Yang, Yi, Zhou, Weijie, Li, Zhaowen, Huang, Yan, Wang, Peng, Zhao, Chaoyang, Wang, Jinqiao

Inhaltsangabe: “… algorithm to discover manipulation policies aligned with the robot's physical characteristics. To enable …”
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Observational constraints on the origin of the elements. X. Combining NLTE and machine learning for chemical diagnostics of 4 million stars in the 4MIDABLE-HR survey von Storm, Nicholas, Bergemann, Maria, Różański, Tomasz, Ksoll, Victor F., Bensby, Thomas, Traven, Gregor, Kordopatis, Georges, Church, Ross P., Jian, Mingjie, Sun, Weijia, Guiglion, Guillaume, Tautvaišienė, Gražina

Inhaltsangabe: “… MIDABLE-HR) survey. A fitting algorithm using this ANN is also presented that is able to fully …”
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AdaTooler-V: Adaptive Tool-Use for Images and Videos von Wang, Chaoyang, Feng, Kaituo, Chen, Dongyang, Wang, Zhongyu, Li, Zhixun, Gao, Sicheng, Meng, Meng, Zhou, Xu, Zhang, Manyuan, Shang, Yuzhang, Yue, Xiangyu

Inhaltsangabe: “… . First, we introduce AT-GRPO, a reinforcement learning algorithm that adaptively adjusts reward scales …”
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URANOS -- a novel voxel engine Neutron Transport Monte-Carlo Simulation von Köhli, Markus, Schrön, Martin, Zacharias, Steffen, Schmidt, Ulrich

Inhaltsangabe: “… URANOS is a newly developed 3D neutron transport Monte-Carlo code from thermal to fast energy …”
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Shape of Thought: When Distribution Matters More than Correctness in Reasoning Tasks von Chandra, Abhranil, Agrawal, Ayush, Hosseini, Arian, Fischmeister, Sebastian, Agarwal, Rishabh, Goyal, Navin, Courville, Aaron

Inhaltsangabe: “… to these flaws. We demonstrate our findings across various reasoning domains like math, algorithmic reasoning …”
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PathoSyn: Imaging-Pathology MRI Synthesis via Disentangled Deviation Diffusion von Wang, Jian, Rong, Sixing, Xing, Jiarui, Xu, Yuling, Liu, Weide

Inhaltsangabe: “… -fidelity patient-specific synthetic datasets, facilitating the development of robust diagnostic algorithms …”
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Factorized Learning for Temporally Grounded Video-Language Models von Zeng, Wenzheng, Gao, Difei, Shou, Mike Zheng, Ng, Hwee Tou

Inhaltsangabe: “… preference optimization (FPO) algorithm. Unlike standard preference optimization, FPO explicitly incorporates …”
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MSACL: Multi-Step Actor-Critic Learning with Lyapunov Certificates for Exponentially Stabilizing Control von Zhang, Yongwei, Xing, Yuanzhe, Liang, Quanyi, Quan, Quan, She, Zhikun

Inhaltsangabe: “… RL baselines and state-of-the-art Lyapunov-based RL algorithms. Beyond rapid convergence, MSACL …”
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Towards Syn-to-Real IQA: A Novel Perspective on Reshaping Synthetic Data Distributions von Li, Aobo, Wu, Jinjian, Liu, Yongxu, Li, Leida, Dong, Weisheng

Inhaltsangabe: “… , synthetic-to-algorithmic, and synthetic-to-synthetic) demonstrate the effectiveness of our method. The code …”
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STEMNIST: Spiking Tactile Extended MNIST Neuromorphic Dataset von Tripathi, Anubhab, Gaishan, Li, Fu, Zhengnan, Bartolozzi, Chiara, Shi, Bert E., Basu, Arindam

Inhaltsangabe: “… and bio-inspired learning algorithms. STEMNIST enables reproducible evaluation of tactile recognition …”
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Rethinking Basis Path Testing: Mixed Integer Programming Approach for Test Path Set Generation von Wei, Chao, Peng, Xinyi, Yan, Yawen, Luo, Mao, Cai, Ting

Inhaltsangabe: “… , relying on greedy graph-traversal algorithms (e.g., DFS/BFS), often generate sub-optimal paths …”
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Orchestrating Tokens and Sequences: Dynamic Hybrid Policy Optimization for RLVR von Min, Zijun, Liu, Bingshuai, Wang, Ante, Zhang, Long, Zeng, Anxiang, Zhang, Haibo, Su, Jinsong

Inhaltsangabe: “… large language models in reasoning tasks. However, existing RLVR algorithms focus on different …”
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The IRIS$^{2+}$ inversion tool: recovering the radiative losses and the thermodynamics in the lower solar atmosphere von Dalda, Alberto Sainz, Rodríguez, Jaime de la Cruz, Hansteen, Viggo, De Pontieu, Bart, Gošić, Milan

Inhaltsangabe: “… with these atmospheres. A nearest neighbor (k-nn) model algorithm is trained with the synthetic representative profiles …”
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From Prompt to Protocol: Fast Charging Batteries with Large Language Models von Lei, Ge, Planella, Ferran Brosa, Baird, Sterling G., Cooper, Samuel J.

Inhaltsangabe: “… : Prompt-to-Optimizer (P2O), which uses an LLM to propose the code for small neural-network-based protocols …”
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Rethinking the Value of Multi-Agent Workflow: A Strong Single Agent Baseline von Xu, Jiawei, Koesdwiady, Arief, Bei, Sisong, Han, Yan, Huang, Baixiang, Wang, Dakuo, Chen, Yutong, Wang, Zheshen, Wang, Peihao, Li, Pan, Ding, Ying

Inhaltsangabe: “… seven benchmarks spanning coding, mathematics, general question answering, domain-specific reasoning …”
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Turbo-GoDec: Exploiting the Cluster Sparsity Prior for Hyperspectral Anomaly Detection von Sheng, Jiahui, Li, Xiaorun, Chen, Shuhan

Inhaltsangabe: “… algorithm, incorporating the cluster sparsity prior into the S-step of GoDec. This resulted in a new …”
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PYVALE: A Fast, Scalable, Open-Source 2D Digital Image Correlation (DIC) Engine Capable of Handling Gigapixel Images von Hirst, Joel, Sibson, Lorna, Tayeb, Adel, Poole, Ben, Sampson, Megan, Bielajewa, Wiera, Atkinson, Michael, Marsh, Alex, Spencer, Rory, Hamill, Rob, Hamelin, Cory, Harte, Allan, Fletcher, Lloyd

Inhaltsangabe: “… DIC algorithm. Its open-source MIT license enables wide deployment, including on computing clusters …”
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Generalizing Abstention for Noise-Robust Learning in Medical Image Segmentation von Moustafa, Wesam, Elsafty, Hossam, Schneider, Helen, Sparrenberg, Lorenz, Sifa, Rafet

Inhaltsangabe: “… , and a more flexible power-law-based auto-tuning algorithm for the abstention penalty. We demonstrate …”
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TinySense: Effective CSI Compression for Scalable and Accurate Wi-Fi Sensing von Gian, Toan, Tran, Dung T., Pham, Viet Quoc, Restuccia, Francesco, Nguyen, Van-Dinh

Inhaltsangabe: “… employ the K-means algorithm to dynamically adjust compression bitrates to cluster a large-scale pre …”
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