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AgriMemSynth: a synthetic benchmark for memory and multi-hop reasoning in agricultural question answering

2026-07-03

Abstract excerpt

<title>Abstract</title> <p>Agricultural advisory systems often need to combine current observations, earlier visits, and crop-disease knowledge, but existing agricultural benchmarks mainly evaluate image classification or short-form question answering. We present AgriMemSynth, a synthetic benchmark framework for evaluating agricultural question answering under two complementary requirements: multi-session convers...

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Literature Corpus work: 26c7e612-fa15-5510-b6ef-d83be299bcbe
DOI: 10.21203/rs.3.rs-10090330/v1

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