A multi-agent LLM pipeline with external computation and self-consistency checking produces time-series chart summaries with fewer annotated hallucinations than GPT-4 or VL2NL on the authors' new benchmark.
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ChartInsighter: An Approach for Mitigating Hallucination in Time-series Chart Summary Generation with A Benchmark Dataset
A multi-agent LLM pipeline with external computation and self-consistency checking produces time-series chart summaries with fewer annotated hallucinations than GPT-4 or VL2NL on the authors' new benchmark.