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自然语言处理

28 篇 · 资讯流
  1. arXiv cs.DB(数据库)

    Robust Hierarchical Structures for Agentic Document Analysis

    Large Language Models (LLMs) enable us to better understand text documents, including PDFs and Word documents. However,

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  2. arXiv cs.AI(人工智能)

    GRASP: Generating, Revising, and Assessing for Strategic Planning with Agentic AI

    Large Language Models (LLMs) typically exhibit a performance profile where reliability degrades as task complexity incre

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  3. arXiv cs.CL(自然语言)

    IterSynth: Rethinking Deep Search Agents via Role-Decoupled Iterative Synthesis

    Deep search requires LLM agents to decompose complex queries, search for evidence, and synthesize grounded answers, yet

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  4. arXiv cs.DC(分布式并行)

    MeshHeal: Two-Timescale Self-Healing for Gray Failures in Decentralized LLM Agent Networks

    Decentralized LLM-based multi-agent systems coordinate through local interactions, but an agent can remain responsive wh

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  5. arXiv cs.CL(自然语言)

    Behavior is Not Enough: A Mechanism-Based Evaluation of Social Norm Emergence in LLM Societies

    Social norms cannot be identified from behavior alone: the same cooperative equilibrium may reflect shared expectations,

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  6. arXiv cs.LG(机器学习)

    Fathom-Vaidya: Advancing Medical Reasoning with Rubric-Based Rewards

    Deploying Large Language Models (LLMs) in healthcare requires robust performance across two complementary dimensions - d

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  7. arXiv cs.AI(人工智能)

    Beyond Single-Model Injection: A Threat Model and Defense Architecture for Prompt Injection in Multi-Agent Systems

    Existing prompt injection research focuses on single-model chatbot scenarios, where an attacker manipulates one LLM thro

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  8. arXiv cs.DC(分布式并行)

    ASPIRE: Asynchronous Batched Self-Speculative Decoding for Long-Context LLM Inference

    Long-context LLM inference is bottlenecked by attention, whose repeated KV-cache reads make decoding memory-bound. Self-

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