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7301

Workflows vs Agents for Code Translation Autoría: Gray, Henry, Yotam, Tom, Udrea, Octavian

Published 2025

Fuente: arXiv

Tipo de material: Preprint

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7302

LibriVAD: A Scalable Open Dataset with Deep Learning Benchmarks for Voice Activity Detection Autoría: Stylianou, Ioannis, Sarkar, Achintya kr., Dawalatabad, Nauman, Glass, James, Tan, Zheng-Hua

Published 2025

Fuente: arXiv

Tipo de material: Preprint

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7303

Cryptanalysis of Pseudorandom Error-Correcting Codes Autoría: Wang, Tianrui, Wang, Anyu, Cong, Tianshuo, Ran, Delong, Liu, Jinyuan, Wang, Xiaoyun

Published 2025

Fuente: arXiv

Tipo de material: Preprint

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7304

Multiple Mellin-Barnes integrals with polygamma functions Autoría: Banik, Sumit, Friot, Samuel

Published 2025

Fuente: arXiv

Tipo de material: Preprint

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7305

Machine Learning vs. Spectral Energy Distribution Fitting: A Comparative Analysis of Accuracy in Stellar Mass Estimation Autoría: Asadi, Vahid, Zonoozi, Akram Hasani, Haghi, Hosein

Published 2025

Fuente: arXiv

Tipo de material: Preprint

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7306

ETP-R1: Evolving Topological Planning with Reinforcement Fine-tuning for Vision-Language Navigation in Continuous Environments Autoría: Ye, Shuhao, Mao, Sitong, Cui, Yuxiang, Yu, Xuan, Zhai, Shichao, Chen, Wen, Zhou, Shunbo, Xiong, Rong, Wang, Yue

Published 2025

Fuente: arXiv

Tipo de material: Preprint

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7307

MuS-Polar3D: A Benchmark Dataset for Computational Polarimetric 3D Imaging under Multi-Scattering Conditions Autoría: Wang, Puyun, Yu, Kaimin, He, Huayang, Wu, Xianyu

Published 2025

Fuente: arXiv

Tipo de material: Preprint

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7308

Variance-Aware Prior-Based Tree Policies for Monte Carlo Tree Search Autoría: Weichart, Maximilian

Published 2025

Fuente: arXiv

Tipo de material: Preprint

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7309

Scalable Class-Incremental Learning Based on Parametric Neural Collapse Autoría: Zhang, Chuangxin, Lin, Guangfeng, Zhao, Enhui, Liao, Kaiyang, Chen, Yajun

Published 2025

Fuente: arXiv

Tipo de material: Preprint

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7310

SPIRAL: Symbolic LLM Planning via Grounded and Reflective Search Autoría: Zhang, Yifan, Ganapavarapu, Giridhar, Jayaraman, Srideepika, Agrawal, Bhavna, Patel, Dhaval, Fokoue, Achille

Published 2025

Fuente: arXiv

Tipo de material: Preprint

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7311

Plug-and-Play Fidelity Optimization for Diffusion Transformer Acceleration via Cumulative Error Minimization Autoría: Shao, Tong, Fu, Yusen, Sun, Guoying, Kong, Jingde, Tian, Zhuotao, Su, Jingyong

Published 2025

Fuente: arXiv

Tipo de material: Preprint

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7312

Characterizing Bugs and Quality Attributes in Quantum Software: A Large-Scale Empirical Study Autoría: Yousuf, Mir Mohammad, Sofi, Shabir Ahmad

Published 2025

Fuente: arXiv

Tipo de material: Preprint

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7313

Scale-aware Adaptive Supervised Network with Limited Medical Annotations Autoría: Li, Zihan, Shan, Dandan, Li, Yunxiang, Kinahan, Paul E., Hong, Qingqi

Published 2026

Fuente: arXiv

Tipo de material: Preprint

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7314

Deep Learning-based Single-Shot Composite Fringe Projection Profilometry with Pixel-Wise Uncertainty Quantification Autoría: Kong, Xiangjun, Bao, Qingkang, Yalew, Tibebe, Adesso, Gerardo, Piano, Samanta

Published 2026

Fuente: arXiv

Tipo de material: Preprint

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7315

Break Me If You Can: Self-Jailbreaking of Aligned LLMs via Lexical Insertion Prompting Autoría: Kulshreshtha, Devang, Su, Hang, Jin, Haibo, Hegde, Chinmay, Wang, Haohan

Published 2026

Fuente: arXiv

Tipo de material: Preprint

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7316

Rate or Fate? RLV$^\varepsilon$R: Reinforcement Learning with Verifiable Noisy Rewards Autoría: Rad, Ali, Filom, Khashayar, Keivan, Darioush, Esfahani, Peyman Mohajerin, Kamalinejad, Ehsan

Published 2026

Fuente: arXiv

Tipo de material: Preprint

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7317

Fiducial Exoskeletons: Image-Centric Robot State Estimation Autoría: Smith, Cameron, Van Hoorick, Basile, Guizilini, Vitor, Wang, Yue

Published 2026

Fuente: arXiv

Tipo de material: Preprint

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7318

Ensuring Computer Science Learning in the AI Era: Open Generative AI Policies and Assignment-Driven Written Quizzes Autoría: Chung, Chan-Jin

Published 2026

Fuente: arXiv

Tipo de material: Preprint

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7319

Learning to Collaborate: An Orchestrated-Decentralized Framework for Peer-to-Peer LLM Federation Autoría: Singh, Inderjeet, Vissol-Gaudin, Eleonore, Otung, Andikan, Sekiya, Motoyoshi

Published 2026

Fuente: arXiv

Tipo de material: Preprint

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7320

When Does Multi-Agent Collaboration Help? An Entropy Perspective Autoría: Zhao, Yuxuan, Chen, Sijia, Su, Ningxin

Published 2026

Fuente: arXiv

Tipo de material: Preprint

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Workflows vs Agents for Code Translation Autoría: Gray, Henry, Yotam, Tom, Udrea, Octavian

LibriVAD: A Scalable Open Dataset with Deep Learning Benchmarks for Voice Activity Detection Autoría: Stylianou, Ioannis, Sarkar, Achintya kr., Dawalatabad, Nauman, Glass, James, Tan, Zheng-Hua

Cryptanalysis of Pseudorandom Error-Correcting Codes Autoría: Wang, Tianrui, Wang, Anyu, Cong, Tianshuo, Ran, Delong, Liu, Jinyuan, Wang, Xiaoyun

Multiple Mellin-Barnes integrals with polygamma functions Autoría: Banik, Sumit, Friot, Samuel

Machine Learning vs. Spectral Energy Distribution Fitting: A Comparative Analysis of Accuracy in Stellar Mass Estimation Autoría: Asadi, Vahid, Zonoozi, Akram Hasani, Haghi, Hosein

ETP-R1: Evolving Topological Planning with Reinforcement Fine-tuning for Vision-Language Navigation in Continuous Environments Autoría: Ye, Shuhao, Mao, Sitong, Cui, Yuxiang, Yu, Xuan, Zhai, Shichao, Chen, Wen, Zhou, Shunbo, Xiong, Rong, Wang, Yue

MuS-Polar3D: A Benchmark Dataset for Computational Polarimetric 3D Imaging under Multi-Scattering Conditions Autoría: Wang, Puyun, Yu, Kaimin, He, Huayang, Wu, Xianyu

Variance-Aware Prior-Based Tree Policies for Monte Carlo Tree Search Autoría: Weichart, Maximilian

Scalable Class-Incremental Learning Based on Parametric Neural Collapse Autoría: Zhang, Chuangxin, Lin, Guangfeng, Zhao, Enhui, Liao, Kaiyang, Chen, Yajun

SPIRAL: Symbolic LLM Planning via Grounded and Reflective Search Autoría: Zhang, Yifan, Ganapavarapu, Giridhar, Jayaraman, Srideepika, Agrawal, Bhavna, Patel, Dhaval, Fokoue, Achille

Plug-and-Play Fidelity Optimization for Diffusion Transformer Acceleration via Cumulative Error Minimization Autoría: Shao, Tong, Fu, Yusen, Sun, Guoying, Kong, Jingde, Tian, Zhuotao, Su, Jingyong

Characterizing Bugs and Quality Attributes in Quantum Software: A Large-Scale Empirical Study Autoría: Yousuf, Mir Mohammad, Sofi, Shabir Ahmad

Scale-aware Adaptive Supervised Network with Limited Medical Annotations Autoría: Li, Zihan, Shan, Dandan, Li, Yunxiang, Kinahan, Paul E., Hong, Qingqi

Deep Learning-based Single-Shot Composite Fringe Projection Profilometry with Pixel-Wise Uncertainty Quantification Autoría: Kong, Xiangjun, Bao, Qingkang, Yalew, Tibebe, Adesso, Gerardo, Piano, Samanta

Break Me If You Can: Self-Jailbreaking of Aligned LLMs via Lexical Insertion Prompting Autoría: Kulshreshtha, Devang, Su, Hang, Jin, Haibo, Hegde, Chinmay, Wang, Haohan

Rate or Fate? RLV$^\varepsilon$R: Reinforcement Learning with Verifiable Noisy Rewards Autoría: Rad, Ali, Filom, Khashayar, Keivan, Darioush, Esfahani, Peyman Mohajerin, Kamalinejad, Ehsan

Fiducial Exoskeletons: Image-Centric Robot State Estimation Autoría: Smith, Cameron, Van Hoorick, Basile, Guizilini, Vitor, Wang, Yue

Ensuring Computer Science Learning in the AI Era: Open Generative AI Policies and Assignment-Driven Written Quizzes Autoría: Chung, Chan-Jin

Learning to Collaborate: An Orchestrated-Decentralized Framework for Peer-to-Peer LLM Federation Autoría: Singh, Inderjeet, Vissol-Gaudin, Eleonore, Otung, Andikan, Sekiya, Motoyoshi

When Does Multi-Agent Collaboration Help? An Entropy Perspective Autoría: Zhao, Yuxuan, Chen, Sijia, Su, Ningxin

Search Results - (endedededededededededededecoding OR coding) (algorithm OR (algorithmss OR algorithmss))

Search alternatives:

Workflows vs Agents for Code Translation Autoría: Gray, Henry, Yotam, Tom, Udrea, Octavian

LibriVAD: A Scalable Open Dataset with Deep Learning Benchmarks for Voice Activity Detection Autoría: Stylianou, Ioannis, Sarkar, Achintya kr., Dawalatabad, Nauman, Glass, James, Tan, Zheng-Hua

Cryptanalysis of Pseudorandom Error-Correcting Codes Autoría: Wang, Tianrui, Wang, Anyu, Cong, Tianshuo, Ran, Delong, Liu, Jinyuan, Wang, Xiaoyun

Multiple Mellin-Barnes integrals with polygamma functions Autoría: Banik, Sumit, Friot, Samuel

Machine Learning vs. Spectral Energy Distribution Fitting: A Comparative Analysis of Accuracy in Stellar Mass Estimation Autoría: Asadi, Vahid, Zonoozi, Akram Hasani, Haghi, Hosein

ETP-R1: Evolving Topological Planning with Reinforcement Fine-tuning for Vision-Language Navigation in Continuous Environments Autoría: Ye, Shuhao, Mao, Sitong, Cui, Yuxiang, Yu, Xuan, Zhai, Shichao, Chen, Wen, Zhou, Shunbo, Xiong, Rong, Wang, Yue

MuS-Polar3D: A Benchmark Dataset for Computational Polarimetric 3D Imaging under Multi-Scattering Conditions Autoría: Wang, Puyun, Yu, Kaimin, He, Huayang, Wu, Xianyu

Variance-Aware Prior-Based Tree Policies for Monte Carlo Tree Search Autoría: Weichart, Maximilian

Scalable Class-Incremental Learning Based on Parametric Neural Collapse Autoría: Zhang, Chuangxin, Lin, Guangfeng, Zhao, Enhui, Liao, Kaiyang, Chen, Yajun

SPIRAL: Symbolic LLM Planning via Grounded and Reflective Search Autoría: Zhang, Yifan, Ganapavarapu, Giridhar, Jayaraman, Srideepika, Agrawal, Bhavna, Patel, Dhaval, Fokoue, Achille

Plug-and-Play Fidelity Optimization for Diffusion Transformer Acceleration via Cumulative Error Minimization Autoría: Shao, Tong, Fu, Yusen, Sun, Guoying, Kong, Jingde, Tian, Zhuotao, Su, Jingyong

Characterizing Bugs and Quality Attributes in Quantum Software: A Large-Scale Empirical Study Autoría: Yousuf, Mir Mohammad, Sofi, Shabir Ahmad

Scale-aware Adaptive Supervised Network with Limited Medical Annotations Autoría: Li, Zihan, Shan, Dandan, Li, Yunxiang, Kinahan, Paul E., Hong, Qingqi

Deep Learning-based Single-Shot Composite Fringe Projection Profilometry with Pixel-Wise Uncertainty Quantification Autoría: Kong, Xiangjun, Bao, Qingkang, Yalew, Tibebe, Adesso, Gerardo, Piano, Samanta

Break Me If You Can: Self-Jailbreaking of Aligned LLMs via Lexical Insertion Prompting Autoría: Kulshreshtha, Devang, Su, Hang, Jin, Haibo, Hegde, Chinmay, Wang, Haohan

Rate or Fate? RLV$^\varepsilon$R: Reinforcement Learning with Verifiable Noisy Rewards Autoría: Rad, Ali, Filom, Khashayar, Keivan, Darioush, Esfahani, Peyman Mohajerin, Kamalinejad, Ehsan

Fiducial Exoskeletons: Image-Centric Robot State Estimation Autoría: Smith, Cameron, Van Hoorick, Basile, Guizilini, Vitor, Wang, Yue

Ensuring Computer Science Learning in the AI Era: Open Generative AI Policies and Assignment-Driven Written Quizzes Autoría: Chung, Chan-Jin

Learning to Collaborate: An Orchestrated-Decentralized Framework for Peer-to-Peer LLM Federation Autoría: Singh, Inderjeet, Vissol-Gaudin, Eleonore, Otung, Andikan, Sekiya, Motoyoshi

When Does Multi-Agent Collaboration Help? An Entropy Perspective Autoría: Zhao, Yuxuan, Chen, Sijia, Su, Ningxin

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