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SyedNazmusSakib/PlantInquiryVQA

PlantInquiryVQA — Thinking Like a Botanist Benchmark and framework for multi-turn, intent-driven visual question answering in plant pathology. Accepted at ACL 2026 Findings. Overview PlantInquiryVQA formalises diagnostic reasoning in plant pathology as a Chain-of-Inquiry (CoI) — an ordered sequence of visually-grounded questions that adapts to the plant's severity and the expert's epistemic intent (Diagnosis / Prognosis / Management). The benchmark… See the full description on the dataset page: https://huggingface.co/datasets/SyedNazmusSakib/PlantInquiryVQA.

Author / organizationSyedNazmusSakib
License (as declared)cc-by-4.0
Downloads467 (as reported by Hugging Face)
Likes1
Created20 April 2026
Last updated at source9 May 2026
plant-diseaseplant-pathologyagriculturemulti-turn-vqachain-of-inquirymultimodalbenchmarkmedical-imagingbiologyreasoning
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  • 16 Oct 2026 Description: PlantInquiryVQA — Thinking Like a Botanist Benchmark and framework for multi-turn, intent-driven visual question answering in plant pathology. Accepted at ACL 2026 Findings. Overview PlantInquiryVQA formalises diagnostic reasoning in plant → PlantInquiryVQA — Thinking Like a Botanist Benchmark and framework for multi-turn, intent-driven visual question answering in plant pathology. Accepted at ACL 2026 Findings. Overview PlantInquiryVQA formalises diagnostic reasoning in plant

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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.