Résultats de la recherche - (coding OR decoding) (algorithm OR (algorithmics OR (algorithmssics OR Algorithmsssics)))

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

Table des matières: “… 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 par Yuan, Tingyu, Guan, Biaoliang, Ye, Wen, Tian, Ziyan, Yang, Yi, Zhou, Weijie, Li, Zhaowen, Huang, Yan, Wang, Peng, Zhao, Chaoyang, Wang, Jinqiao

Table des matières: “… 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 par 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

Table des matières: “…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 par Wang, Chaoyang, Feng, Kaituo, Chen, Dongyang, Wang, Zhongyu, Li, Zhixun, Gao, Sicheng, Meng, Meng, Zhou, Xu, Zhang, Manyuan, Shang, Yuzhang, Yue, Xiangyu

Table des matières: “…. 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 par Köhli, Markus, Schrön, Martin, Zacharias, Steffen, Schmidt, Ulrich

Table des matières: “…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 par Chandra, Abhranil, Agrawal, Ayush, Hosseini, Arian, Fischmeister, Sebastian, Agarwal, Rishabh, Goyal, Navin, Courville, Aaron

Table des matières: “… 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 par Wang, Jian, Rong, Sixing, Xing, Jiarui, Xu, Yuling, Liu, Weide

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

Table des matières: “… 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 par Zhang, Yongwei, Xing, Yuanzhe, Liang, Quanyi, Quan, Quan, She, Zhikun

Table des matières: “… 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 par Li, Aobo, Wu, Jinjian, Liu, Yongxu, Li, Leida, Dong, Weisheng

Table des matières: “…, 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 par Tripathi, Anubhab, Gaishan, Li, Fu, Zhengnan, Bartolozzi, Chiara, Shi, Bert E., Basu, Arindam

Table des matières: “… 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 par Wei, Chao, Peng, Xinyi, Yan, Yawen, Luo, Mao, Cai, Ting

Table des matières: “…, 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 par Min, Zijun, Liu, Bingshuai, Wang, Ante, Zhang, Long, Zeng, Anxiang, Zhang, Haibo, Su, Jinsong

Table des matières: “… 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 par Dalda, Alberto Sainz, Rodríguez, Jaime de la Cruz, Hansteen, Viggo, De Pontieu, Bart, Gošić, Milan

Table des matières: “… 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 par Lei, Ge, Planella, Ferran Brosa, Baird, Sterling G., Cooper, Samuel J.

Table des matières: “…: 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 par Xu, Jiawei, Koesdwiady, Arief, Bei, Sisong, Han, Yan, Huang, Baixiang, Wang, Dakuo, Chen, Yutong, Wang, Zheshen, Wang, Peihao, Li, Pan, Ding, Ying

Table des matières: “… 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 par Sheng, Jiahui, Li, Xiaorun, Chen, Shuhan

Table des matières: “… 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 par 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

Table des matières: “… 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 par Moustafa, Wesam, Elsafty, Hossam, Schneider, Helen, Sparrenberg, Lorenz, Sifa, Rafet

Table des matières: “…, 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 par Gian, Toan, Tran, Dung T., Pham, Viet Quoc, Restuccia, Francesco, Nguyen, Van-Dinh

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