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  1. 3541

    Digital Video Manipulation Detection Technique Based on Compression Algorithms by Fernandez, Edgar Gonzalez, Orozco, Ana Lucila Sandoval, Villalba, Luis Javier Garcia

    Published 2024
    Table of Contents: “… technique by analysing compression algorithms used by the H.264 coding. The presence of recompression uses…”
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  2. 3542

    Arabic Diacritics in the Wild: Exploiting Opportunities for Improved Diacritization by Elgamal, Salman, Obeid, Ossama, Kabbani, Tameem, Inoue, Go, Habash, Nizar

    Published 2024
    Table of Contents: “… thorough analysis, valuable datasets, and an extended diacritization algorithm. We release our code…”
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  3. 3543

    Human-level molecular optimization driven by mol-gene evolution by Fang, Jiebin, Mao, Churu, Zhu, Yuchen, Chen, Xiaoming, Hsieh, Chang-Yu, Ma, Zhongjun

    Published 2024
    Table of Contents: “… as quantization code, mol-gene, which incorporates deep learning into genetic algorithms for flexible structural…”
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  4. 3544

    Towards Autonomous Agents: Adaptive-planning, Reasoning, and Acting in Language Models by Dutta, Abhishek, Hsiao, Yen-Che

    Published 2024
    Table of Contents: “…We propose a novel in-context learning algorithm for building autonomous decision-making language…”
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  5. 3545

    Einstein-Klein-Gordon system via Cauchy-characteristic evolution: Computation of memory and ringdown tail by Ma, Sizheng, Nelli, Kyle C., Moxon, Jordan, Scheel, Mark A., Deppe, Nils, Kidder, Lawrence E., Throwe, William, Vu, Nils L.

    Published 2024
    Table of Contents: “… the numerical relativity code SpECTRE by incorporating a scalar field. This allows the system to capture…”
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  6. 3546

    A second-order-like optimizer with adaptive gradient scaling for deep learning by Bolte, Jérôme, Boustany, Ryan, Pauwels, Edouard, Purica, Andrei

    Published 2024
    Table of Contents: “…In this empirical article, we introduce INNAprop, an optimization algorithm that combines the INNA…”
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  7. 3547

    Similarity Learning with neural networks by Sanfins, Gabriel, Ramos, Fabio, Naiff, Danilo

    Published 2024
    Table of Contents: “…In this work, we introduce a neural network algorithm designed to automatically identify similarity…”
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  8. 3548

    VOPy: A Framework for Black-box Vector Optimization by Yıldırım, Yaşar Cahit, Karagözlü, Efe Mert, Korkmaz, İlter Onat, Ararat, Çağın, Tekin, Cem

    Published 2024
    Table of Contents: “… of novel algorithms. We detail VOPy's architecture, usage, and potential to advance research…”
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  9. 3549

    GPgym: A Remote Service Platform with Gaussian Process Regression for Online Learning by Dai, Xiaobing, Yang, Zewen

    Published 2024
    Table of Contents: “…, making it challenging to integrate these algorithms into their workflows. To address this limitation, we…”
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  10. 3550

    DMesh++: An Efficient Differentiable Mesh for Complex Shapes by Son, Sanghyun, Gadelha, Matheus, Zhou, Yang, Fisher, Matthew, Xu, Zexiang, Qiao, Yi-Ling, Lin, Ming C., Zhou, Yi

    Published 2024
    Table of Contents: “… than previous approaches. Building on this innovation, we present a reconstruction algorithm capable…”
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  11. 3551

    HumorReject: Decoupling LLM Safety from Refusal Prefix via A Little Humor by Wu, Zihui, Gao, Haichang, Luo, Jiacheng, Liu, Zhaoxiang

    Published 2025
    Table of Contents: “… findings suggest that improvements in training data design can be as important as the alignment algorithm…”
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  12. 3552

    Extracting Problem Structure with LLMs for Optimized SAT Local Search by Schidler, André, Szeider, Stefan

    Published 2025
    Table of Contents: “…. We present a method that applies Large Language Models (LLMs) to analyze Python-based encoding code…”
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  13. 3553

    Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers by Du, Yuxuan, Wang, Xinbiao, Guo, Naixu, Yu, Zhan, Qian, Yang, Zhang, Kaining, Hsieh, Min-Hsiu, Rebentrost, Patrick, Tao, Dacheng

    Published 2025
    Table of Contents: “…, representative QML algorithms, their potential applications, and critical aspects such as trainability…”
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  14. 3554

    Trajectory Inference with Smooth Schrödinger Bridges by Hong, Wanli, Shi, Yuliang, Niles-Weed, Jonathan

    Published 2025
    Table of Contents: “…. We develop a practical approximation of this algorithm that outperforms existing methods on numerous…”
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  15. 3555

    A Pilot Study on Tunable Precision Emulation via Automatic BLAS Offloading by Liu, Hang, Li, Junjie, Wang, Yinzhi

    Published 2025
    Table of Contents: “… application without code changes. We find that accuracy depends on both arithmetic precision…”
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  16. 3556

    EthCluster: An Unsupervised Static Analysis Method for Ethereum Smart Contract by Huang, Hong-Sheng, Ho, Jen-Yi, Chen, Hao-Wen, Sun, Hung-Min

    Published 2025
    Table of Contents: “… learning to identify vulnerabilities in the Solidity source code of Ethereum smart contracts. To address…”
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  17. 3557

    An Empirical Study: MEMS as a Static Performance Metric by Zhang, Liwei, Cui, Baoquan, Ma, Xutong, Zhang, Jian

    Published 2025
    Table of Contents: “… instrumentation tool that rewrites source code to insert path tracing and \textit{mems} counting logic…”
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  18. 3558

    SpectraMatcher: A Python Program for Interactive Analysis and Peak Assignment of Vibronic Spectra by Langner, Johanna, Weber, Isabelle, Witek, Henryk A., Lee, Yuan-Pern

    Published 2025
    Table of Contents: “…. It provides an intuitive graphical interface -- with no coding or scripting required -- for importing…”
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  19. 3559

    TensorMixedStates: a Julia library for simulating pure and mixed quantum states using matrix product states by Houdayer, Jérôme, Misguich, Grégoire

    Published 2025
    Table of Contents: “… access to efficient low-level tensor manipulation as well as state-of-the-art algorithms (like DMRG…”
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  20. 3560

    Clarifying orthography: Orthographic transparency as compressibility by Torres, Charles J., Futrell, Richard

    Published 2025
    Table of Contents: “…-agnostic metric. Using ideas from algorithmic information theory, we quantify orthographic transparency…”
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