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FinMTM: A Multi-Turn Multimodal Benchmark for Financial Reasoning and Agent Evaluation
FinMTM introduces a bilingual multi-turn multimodal benchmark with 11,133 financial visual QA pairs to evaluate vision-language models on reasoning and agent tasks, revealing significant limitations in fine-grained perception and complex workflows.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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lenient 5/5
medium 3/10
strict 2/5