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English(EN) Benchmarking Large Language Models for Biomedical Relation Extraction

LLMs 在生物医学和 NLP 关系提取任务上进行基准测试 · 已追踪 2 个来源

作者 PulseAugur 编辑部 · [3 个来源] ·

一篇新论文对大语言模型 (LLM) 在生物医学关系提取方面进行了基准测试，发现 OpenAI O1 和 Gemini 2.0 Pro 等专有模型取得了最先进的结果。该研究利用 SNPPhenA 语料库执行了句子级、摘要级和关联强度分类等任务。OpenAI O1 在少样本句子级分类方面表现出色，而 Gemini 2.0 Pro 在具有挑战性的关联强度任务上表现最佳。另一篇论文介绍了 SciNLP，这是一个专门针对自然语言处理 (NLP) 领域全文实体和关系提取的新基准数据集，旨在促进对科学文献进行更全面的分析。 AI

影响 凸显了 LLM 在专业科学领域的日益增长的能力以及对特定领域基准测试的需求。

排序理由 两篇学术论文介绍了新数据集，并在特定 NLP 任务上对 LLM 进行基准测试。

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

LLMs 在生物医学和 NLP 关系提取任务上进行基准测试 · 已追踪 2 个来源

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两篇学术论文介绍了新数据集，并在特定 NLP 任务上对 LLM 进行基准测试。
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48 days old
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完整方法见我们的编辑标准。

报道来源 [3]

  1. arXiv cs.CL TIER_1 English(EN) · Claudiu Creanga, Liviu P. Dinu, Daniela Gifu ·

    针对生物医学关系抽取进行模型微调

    arXiv:2609.20169v1 Announce Type: new Abstract: Next-Generation Sequencing has revolutionized the study of genetic mutations, enabling large-scale investigations into their roles in disease development. However, extracting meaningful insights from the vast amount of biomedical li…

  2. arXiv cs.CL TIER_1 English(EN) · Claudiu Creanga, Teodor Marchitan, Liviu P. Dinu ·

    生物医学关系抽取大型语言模型基准测试

    arXiv:2609.19071v1 Announce Type: new Abstract: Extracting SNP-phenotype associations from biomedical literature is vital but challenging. We benchmarked diverse NLP models, including MLMs, hybrid architectures, and state-of-the-art LLMs (Gemini 2.0, OpenAI O-series, Qwen, Mistra…

  3. arXiv cs.CL TIER_1 English(EN) · Decheng Duan, Yingyi Zhang, Jitong Peng, Chengzhi Zhang ·

    SciNLP：用于自然语言处理中全文本科学实体和关系提取的领域特定基准

    arXiv:2509.07801v5 Announce Type: replace Abstract: Structured information extraction from scientific literature is crucial for capturing core concepts and emerging trends in specialized fields. While existing datasets aid model development, most focus on specific publication sec…

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