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Oct 12 · Monday

All papers

Found 1 paper
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Impact

Output manipulation1

System type

Models and APIs5LLM applications1

Attack surface / entry point

User input12Web pages and interfaces6Documents and messages15Retrieval corpus19Inference services and hardware1
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Impact：Output manipulationSystem type：LLM applicationsAttack surface / entry point：Inference services and hardwareClear all

Another 265papers do not have category tags yet and are not included in filtered results.

  1. DefensesarXiv 2601.21189

    Adaptive robust cost-aware Proof of Quality for decentralized LLM inference networks

    为去中心化 LLM 推理网络提出稳健成本感知 PoQ，抵御恶意评估者操纵分数

    arXiv
    2601.21189
    Published
    Layer
    Application layer
    Setting
    LLM applications
    Evaluated models
    llama 3 2 3b, gemma 2 2b it, tinyllama 1 1b and others10
    Abstract成本感知 PoQ 加入稳健共识。

    这篇扩展工作把成本感知 Proof of Quality 的共识层改成能承受恶意评估分数的形式，奖励仍同时看输出质量与延迟成本。

    Paper analysisRead analysis
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