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Zhejiang University
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ChartWalker reveals significant performance gaps in cross-chart RAG tasks, challenging the status quo of existing benchmarks and paving the way for more robust multi-modal reasoning.
LLM agents can explore more effectively by retrieving and reasoning over off-policy step-level traces, leading to significant performance gains and faster training.
