English(EN) Pest-Thinker: Learning to Think and Reason like Entomologists via Reinforcement Learning

Pest-Thinker 使用强化学习帮助 MLLMs 像昆虫学家一样推理

作者 PulseAugur 编辑部 · [2 个来源] · 2026-05-07 12:30

研究人员开发了 Pest-Thinker，一个新颖的强化学习框架，旨在增强多模态大语言模型 (MLLMs) 在农业害虫识别方面的推理能力。该系统通过使 MLLMs 能够分析细粒度的害虫形态，解决了高物种间复杂性和有限专家数据等挑战。Pest-Thinker 利用带有合成思维链轨迹的监督微调和一种群体相对策略优化方法，并以 LLM-as-a-Judge 策略为指导，来提高对害虫的视觉理解能力。 AI

影响该框架可以显著提高 AI 识别农业害虫的能力，从而有助于全球粮食安全工作。

排序理由这是一篇详细介绍农业领域 AI 新框架和基准的研究论文。

在 arXiv cs.CV 阅读 →

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报道来源 [2]

arXiv cs.CV TIER_1 English(EN) · Xueheng Li, Yu Wang, Tao Hu, Ji Huang, Ke Cao, Qize Yang, Rui Li, Jie Zhang, Chengjun Xie · 2026-05-08 04:00

Pest-Thinker: Learning to Think and Reason like Entomologists via Reinforcement Learning

arXiv:2605.06121v1 Announce Type: new Abstract: Pest-induced crop losses pose a major threat to global food security and sustainable agricultural development. While recent advances in Multimodal Large Language Models (MLLMs) have shown strong potential for visual understanding an…
arXiv cs.CV TIER_1 English(EN) · Chengjun Xie · 2026-05-07 12:30

Pest-Thinker: Learning to Think and Reason like Entomologists via Reinforcement Learning

Pest-induced crop losses pose a major threat to global food security and sustainable agricultural development. While recent advances in Multimodal Large Language Models (MLLMs) have shown strong potential for visual understanding and smart agriculture, their direct application to…

报道来源 [2]

Pest-Thinker: Learning to Think and Reason like Entomologists via Reinforcement Learning

Pest-Thinker: Learning to Think and Reason like Entomologists via Reinforcement Learning

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