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English(EN) Geo-Expert: Towards Expert-Level Geological Reasoning via Parameter-Efficient Fine-Tuning

Geo-Expert 大语言模型实现专家级地质推理

研究人员开发了 Geo-Expert,一系列专门针对地质推理进行微调的大语言模型。这些模型在 Qwen3 和 Gemma-3 等基础模型上使用了 LoRA 等参数高效微调技术。在新基准 Geo-Eval 上的评估表明,即使是 8B 参数的 Geo-Expert 模型也能在地理任务上超越更大的通用模型和 GPT-4o,而 32B 版本则接近前沿模型的性能。 AI

影响 像 Geo-Expert 这样的专业大语言模型可以提高科学领域的准确性并减少幻觉,有可能使人工智能在专业研究中普及。

排序理由 该集群描述了一篇关于开发和评估用于地质推理的专业大语言模型的新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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

Geo-Expert 大语言模型实现专家级地质推理

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该集群描述了一篇关于开发和评估用于地质推理的专业大语言模型的新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Chenyou Guo, Zongqi Liu, Yizhou Zhang, Zhaorui Jiang, Ze Liu ·

    Geo-Expert:通过参数高效微调实现专家级地质推理

    arXiv:2605.24844v1 Announce Type: new Abstract: While general-purpose Large Language Models (LLMs) applied to Geology often hallucinate when reasoning about subsurface structures and deep-time evolution, current AI in Earth sciences predominantly targets surface remote sensing an…