Search Results - (decoding OR coding) (Algorithmsssicics OR (algorithm OR (algorithm OR algorithm)))

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  1. 8661

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

    Published 2026
    Table of Contents: “…{SLIP})}, a black-box algorithm that casts jailbreaking as breadth-first tree search over multi-turn…”
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  2. 8662

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

    Published 2026
    Table of Contents: “… (especially coding) where tests are sparse and increasingly model-generated. We ask a pragmatic question: does…”
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  3. 8663

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

    Published 2026
    Table of Contents: “… control performance. We release code and printable hardware designs to enable further algorithm-hardware…”
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  4. 8664

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

    Published 2026
    Table of Contents: “… and are specifically designed to verify the student's comprehension of the algorithms, structure, and implementation…”
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  5. 8665

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

    Published 2026
    Table of Contents: “… a LinUCB algorithm on abstract agent profiles to learn an optimal matchmaking policy…”
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  6. 8666

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

    Published 2026
    Table of Contents: “… introduce a simple yet effective algorithm, the \textit{Entropy Judger}, to select solutions from MAS's pass…”
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  7. 8667

    TurboBoA: Faster and Exact Attention-aware Quantization without Backpropagation by Kim, Junhan, Park, Yeo Jeong, Son, Seungwoo, Lee, Chungman, Kim, Ho-young, Kim, Joonyoung, Jeon, Yongkweon

    Published 2026
    Table of Contents: “…. In this paper, we propose TurboBoA, a new backpropagation-free PTQ algorithm that preserves the accuracy…”
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  8. 8668

    ProAct: Agentic Lookahead in Interactive Environments by Yu, Yangbin, Yang, Mingyu, Li, Junyou, Gao, Yiming, Liu, Feiyu, Yang, Yijun, Lin, Zichuan, Lyu, Jiafei, Liu, Yicheng, Lu, Zhicong, Ye, Deheng, Jiang, Jie

    Published 2026
    Table of Contents: “… to enhance policy-gradient algorithms like PPO and GRPO. By leveraging lightweight environment rollouts…”
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  9. 8669

    Monte Carlo Maximum Likelihood Reconstruction for Digital Holography with Speckle by Chen, Xi, Maleki, Arian, Jalali, Shirin

    Published 2026
    Table of Contents: “… evaluation, the proposed algorithm supports accurate aperture modeling without the simplifying assumptions…”
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  10. 8670

    SteuerLLM: Local specialized large language model for German tax law analysis by Wind, Sebastian, Sopa, Jeta, Schmid, Laurin, Jackl, Quirin, Kiefer, Sebastian, Wu, Fei, Mayr, Martin, Köstler, Harald, Wellein, Gerhard, Maier, Andreas, Arasteh, Soroosh Tayebi

    Published 2026
    Table of Contents: “…, structured legal argumentation, and numerical accuracy under rigid grading schemes. We algorithmically…”
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  11. 8671

    Gradient-Enhanced Partitioned Gaussian Processes for Real-Time Quadrotor Dynamics Modeling by Sang, Xinhuan, Rozman, Adam, Grace, Sheryl, Tron, Roberto

    Published 2026
    Table of Contents: “… effects, such as rotor-rotor interactions and apparent wind direction, we use the CHARM code, which is a…”
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  12. 8672

    Unbiased Gradient Estimation for Event Binning via Functional Backpropagation by Chen, Jinze, Zhai, Wei, Han, Han, Ma, Tiankai, Cao, Yang, Li, Bin, Zha, Zheng-Jun

    Published 2026
    Table of Contents: “… algorithms to rely solely on frame-based features. Attempts to directly learn from raw events avoid…”
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  13. 8673

    K-Search: LLM Kernel Generation via Co-Evolving Intrinsic World Model by Cao, Shiyi, Mao, Ziming, Gonzalez, Joseph E., Stoica, Ion

    Published 2026
    Table of Contents: “… approaches typically treat Large Language Models (LLMs) merely as stochastic code generators within heuristic…”
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  14. 8674

    DySL-VLA: Efficient Vision-Language-Action Model Inference via Dynamic-Static Layer-Skipping for Robot Manipulation by Yang, Zebin, Qi, Yijiahao, Xie, Tong, Yu, Bo, Liu, Shaoshan, Li, Meng

    Published 2026
    Table of Contents: “… to initiate layer-skipping. We also propose a skip-aware two-stage knowledge distillation algorithm…”
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  15. 8675

    Shifting in-DRAM by Tegge, William C., Jones, Alex K.

    Published 2026
    Table of Contents: “… algorithms like AES and Reed-Solomon error correction codes. Existing approaches to in-DRAM shifting require…”
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  16. 8676

    Operator Learning Using Weak Supervision from Walk-on-Spheres by Viswanath, Hrishikesh, Nam, Hong Chul, Deng, Xi, Berner, Julius, Anandkumar, Anima, Bera, Aniket

    Published 2026
    Table of Contents: “… algorithm to generate cheap, noisy, estimates of the PDE solution during training. This is formulated into a…”
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  17. 8677

    Graph-Based Self-Healing Tool Routing for Cost-Efficient LLM Agents by Bholani, Neeraj

    Published 2026
    Table of Contents: “… improves correctness but incurs high latency and inference cost, while pre-coded workflow graphs reduce…”
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  18. 8678

    Fast and Versatile RNA Design via Motif-level Divide-and-Conquer and Structure-level Rival Search by Zhou, Tianshuo, Mathews, David H., Huang, Liang

    Published 2026
    Table of Contents: “… both. We introduce a fast and versatile RNA design algorithm inspired by our previous work…”
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  19. 8679
  20. 8680

    THETA: A Textual Hybrid Embedding-based Topic Analysis Framework and AI Scientist Agent for Scalable Computational Social Science by Duan, Zhenke, Li, Xin

    Published 2026
    Table of Contents: “… research, as manual coding remains labor-intensive and conventional topic models often suffer from semantic…”
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