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English(EN) LatticeBridge: Rare-Event Sequential Inference for Faithful Structured Sequence Synthesis

LatticeBridge 通过罕见事件推理改进结构化序列生成

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了 LatticeBridge，一种新颖的结构化序列生成方法，它解决了在单个输出中满足多个派生输入约束的挑战。该方法将问题构建为一个罕见事件序列推理任务，结合了前缀语言模型、实例编译的表面自动机和专门的蒙特卡洛解码器。LatticeBridge 旨在通过确保所有必需的锚点被联合实现来提高生成序列的忠实度，在 CommonGen 和 WikiBio 等基准测试中优于基线方法。 AI

影响 增强了结构化序列生成中的忠实度，可能改进需要精确输出约束的应用。

排序理由 该集群包含一篇详细介绍结构化序列生成新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

LatticeBridge 通过罕见事件推理改进结构化序列生成

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该集群包含一篇详细介绍结构化序列生成新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Faruk Alpay, Bugra Kilictas ·

    LatticeBridge：用于忠实结构化序列合成的罕见事件序列推理

    arXiv:2606.11203v1 Announce Type: new Abstract: Structured sequence generation often requires a model to satisfy several input-derived constraints in a single output. Standard decoding methods may assign high probability to fluent continuations while placing low mass on continuat…

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