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cs.CV2026
AgroTools: A Benchmark for Tool-Augmented Multimodal Agents in Agriculture
Zi Ye, Yibin Wen, Xiaoya Fan +10
Agricultural decision-making increasingly requires multimodal systems that can transform visual observations into reliable, executable actions. However, existing agricultural multi…
cs.CV2026
Beyond RGB: Benchmarking and Enhancing MLLMs for Hyperspectral Image Understanding via Training-Free Reasoning Framework
Xinyu Zhang, Zurong Mai, Qingmei Li +13
Multimodal Large Language Models (MLLMs) have achieved strong performance on RGB image understanding, yet their ability to use spectral evidence beyond the visible range remains la…
cs.CV2025★ 1 cited
Combining Knowledge Graph and LLMs for Enhanced Zero-shot Visual Question Answering
Qian Tao, Xiaoyang Fan, Yong Xu +2
Zero-shot visual question answering (ZS-VQA), an emerged critical research area, intends to answer visual questions without providing training samples. Existing research in ZS-VQA…