AgroTools is a new benchmark for tool-augmented multimodal agents in agriculture featuring 539 QA pairs, 1,097 images, five task families, and 14 tools, with evaluations showing major limitations in current models' tool planning and execution.
A survey of state of the art large vision language models: Benchmark evaluations and challenges
2 Pith papers cite this work. Polarity classification is still indexing.
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FORGE benchmark shows domain-specific knowledge, not visual grounding, is the main bottleneck for MLLMs in manufacturing, with SFT on a 3B model delivering up to 90.8% relative accuracy improvement on held-out scenarios.
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AgroTools: A Benchmark for Tool-Augmented Multimodal Agents in Agriculture
AgroTools is a new benchmark for tool-augmented multimodal agents in agriculture featuring 539 QA pairs, 1,097 images, five task families, and 14 tools, with evaluations showing major limitations in current models' tool planning and execution.
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FORGE: Fine-grained Multimodal Evaluation for Manufacturing Scenarios
FORGE benchmark shows domain-specific knowledge, not visual grounding, is the main bottleneck for MLLMs in manufacturing, with SFT on a 3B model delivering up to 90.8% relative accuracy improvement on held-out scenarios.