Risultati della ricerca - (coding OR decoding) (algorithm OR (algorithmics OR (Algorithmssssics OR Algorithmssssics)))

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

Sommario: “... 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 di Yuan, Tingyu, Guan, Biaoliang, Ye, Wen, Tian, Ziyan, Yang, Yi, Zhou, Weijie, Li, Zhaowen, Huang, Yan, Wang, Peng, Zhao, Chaoyang, Wang, Jinqiao

Sommario: “... 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 di 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

Sommario: “...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 di Wang, Chaoyang, Feng, Kaituo, Chen, Dongyang, Wang, Zhongyu, Li, Zhixun, Gao, Sicheng, Meng, Meng, Zhou, Xu, Zhang, Manyuan, Shang, Yuzhang, Yue, Xiangyu

Sommario: “.... 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 di Köhli, Markus, Schrön, Martin, Zacharias, Steffen, Schmidt, Ulrich

Sommario: “...URANOS is a newly developed 3D neutron transport Monte-Carlo code from thermal to fast energy...”
Testo

Shape of Thought: When Distribution Matters More than Correctness in Reasoning Tasks di Chandra, Abhranil, Agrawal, Ayush, Hosseini, Arian, Fischmeister, Sebastian, Agarwal, Rishabh, Goyal, Navin, Courville, Aaron

Sommario: “... to these flaws. We demonstrate our findings across various reasoning domains like math, algorithmic reasoning...”
Testo

PathoSyn: Imaging-Pathology MRI Synthesis via Disentangled Deviation Diffusion di Wang, Jian, Rong, Sixing, Xing, Jiarui, Xu, Yuling, Liu, Weide

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

Sommario: “... preference optimization (FPO) algorithm. Unlike standard preference optimization, FPO explicitly incorporates...”
Testo

MSACL: Multi-Step Actor-Critic Learning with Lyapunov Certificates for Exponentially Stabilizing Control di Zhang, Yongwei, Xing, Yuanzhe, Liang, Quanyi, Quan, Quan, She, Zhikun

Sommario: “... 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 di Li, Aobo, Wu, Jinjian, Liu, Yongxu, Li, Leida, Dong, Weisheng

Sommario: “..., synthetic-to-algorithmic, and synthetic-to-synthetic) demonstrate the effectiveness of our method. The code...”
Testo

STEMNIST: Spiking Tactile Extended MNIST Neuromorphic Dataset di Tripathi, Anubhab, Gaishan, Li, Fu, Zhengnan, Bartolozzi, Chiara, Shi, Bert E., Basu, Arindam

Sommario: “... 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 di Wei, Chao, Peng, Xinyi, Yan, Yawen, Luo, Mao, Cai, Ting

Sommario: “..., 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 di Min, Zijun, Liu, Bingshuai, Wang, Ante, Zhang, Long, Zeng, Anxiang, Zhang, Haibo, Su, Jinsong

Sommario: “... 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 di Dalda, Alberto Sainz, Rodríguez, Jaime de la Cruz, Hansteen, Viggo, De Pontieu, Bart, Gošić, Milan

Sommario: “... with these atmospheres. A nearest neighbor (k-nn) model algorithm is trained with the synthetic representative profiles...”
Testo

From Prompt to Protocol: Fast Charging Batteries with Large Language Models di Lei, Ge, Planella, Ferran Brosa, Baird, Sterling G., Cooper, Samuel J.

Sommario: “...: 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 di Xu, Jiawei, Koesdwiady, Arief, Bei, Sisong, Han, Yan, Huang, Baixiang, Wang, Dakuo, Chen, Yutong, Wang, Zheshen, Wang, Peihao, Li, Pan, Ding, Ying

Sommario: “... 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 di Sheng, Jiahui, Li, Xiaorun, Chen, Shuhan

Sommario: “... algorithm, incorporating the cluster sparsity prior into the S-step of GoDec. This resulted in a new...”
Testo

PYVALE: A Fast, Scalable, Open-Source 2D Digital Image Correlation (DIC) Engine Capable of Handling Gigapixel Images di 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

Sommario: “... 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 di Moustafa, Wesam, Elsafty, Hossam, Schneider, Helen, Sparrenberg, Lorenz, Sifa, Rafet

Sommario: “..., 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 di Gian, Toan, Tran, Dung T., Pham, Viet Quoc, Restuccia, Francesco, Nguyen, Van-Dinh

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