Paper

  • Detecting Bugs with Substantial Monetary Consequences by LLM and Rule-based Reasoning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Detecting Bugs with Substantial Monetary Consequences by LLM and Rule-based Reasoning

    Brian Zhang, Zhuo Zhang p133999-134023 from Advances in Neural Information Processing Systems 37
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  • Detection of Anomalous Energy Consumption in Commercial Activities Through Clustering Techniques

    ECOS 2023

    Detection of Anomalous Energy Consumption in Commercial Activities Through Clustering Techniques

    Lorenzo Ferrari, Alessandra Ghilardi, Guido Francesco Frate, Francesca Leonetti, Lorenzo Ferrari, Nicola Fredducci, Luca Brancolini p3284-3295 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning

    Wanquan Feng, Xun Guo, Yongxin He, Haibin Huang, Chongyang Ma, Shan Zhang, Ting Zhang p88320-88347 from Advances in Neural Information Processing Systems 37
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  • DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios

    Lidia Chao, Derek Wong, Junchao Wu, Shu Yang, Xinyi Yang, Yulin Yuan, Runzhe Zhan p100369-100401 from Advances in Neural Information Processing Systems 37
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  • DETERMINATION OF CANADIAN SEISMIC FORCE MODIFICATION FACTORS FOR POST-TENSIONED ROCKING CLT WALLS

    World Conference on Timber Engineering 2025

    DETERMINATION OF CANADIAN SEISMIC FORCE MODIFICATION FACTORS FOR POST-TENSIONED ROCKING CLT WALLS

    Huanru Zhu, Matiyas A. Bezabeh, Asif Iqbal, Marjan Popovski, Zhiyong Chen p4026-4035 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • DETERMINATION OF THE EFFECTIVE WIDTH OF CROSS-LAMINATED TIMBER RIB PANELS USING DIGITAL IMAGE CORRELATION

    World Conference on Timber Engineering 2023 (WCTE 2023)

    DETERMINATION OF THE EFFECTIVE WIDTH OF CROSS-LAMINATED TIMBER RIB PANELS USING DIGITAL IMAGE CORRELATION

    Miriam Kleinhenz, Martin Viertel, Thomas Demschner, Andrea Frangi p2416-2425 from World Conference on Timber Engineering (WCTE 2023)
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  • DETERMINATION OF THE RACKING STRENGTH AND STIFFNESS OF CLT PANELS MANUFACTURED FROM C16-GRADE IRISH TIMBER

    World Conference on Timber Engineering 2025

    DETERMINATION OF THE RACKING STRENGTH AND STIFFNESS OF CLT PANELS MANUFACTURED FROM C16-GRADE IRISH TIMBER

    Rimjhim Kashyap, Conan O’Ceallaigh p3736-3744 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Determining the Maximum Acceptable Length of a Hard Ballistic Plate

    Royal Military Academy (Belgium)

    Determining the Maximum Acceptable Length of a Hard Ballistic Plate

    R. Molloy, S. Laing, M. Jaffrey, A. Furnell p58-67 from Personal Armour Systems Symposium. 2020. (PDF)
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  • Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time

    Jeremy McMahan p94453-94489 from Advances in Neural Information Processing Systems 37
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  • Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning

    Abdullah Akgül, Manuel Haußmann, Melih Kandemir p70313-70348 from Advances in Neural Information Processing Systems 37
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  • DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ

    Jonas Belouadi, Steffen Eger, Simone Ponzetto p85074-85108 from Advances in Neural Information Processing Systems 37
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  • DeTrack: In-model Latent Denoising Learning for Visual Object Tracking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DeTrack: In-model Latent Denoising Learning for Visual Object Tracking

    Weifeng Ge, Pinxue Guo, Lingyi Hong, Kaixun Jiang, Jinglun Li, Wenqiang Zhang, Xinyu Zhou p90579-90599 from Advances in Neural Information Processing Systems 37
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