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New Benchmark Tests LLM Agents on Quarterly Earnings Forecasts
What is EPSBench: Benchmarking LLM Agents for Earnings Forecasting?
EPSBench lets researchers see how well AI agents can pull financial data and link it to the income-statement line items that determine a company's reported earnings. It covers 149 firm-quarters from 86 U.S. firms, providing a fixed collection of evidence for each case.
Who it is for
Quant analysts and AI developers building finance-focused agents should use it to gauge and improve their models' forecasting accuracy.
How to try it
Open the dataset on Hugging Face: https://huggingface.co/datasets/epsbench