Factual Errors

otherentity ID: factualerrors

Related Papers

Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractModern summarization models generate highly fluent but often factually unreliable outputs. This motivated a surge of metrics attempting to measure the factuality of automatically generated summaries. Due to the lack …...

21453

Chart-to-Text: A Large-Scale Benchmark for Chart Summarization

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractCharts are commonly used for exploring data and communicating insights. Generating natural language summaries from charts can be very helpful for people in inferring key insights that would otherwise require …...

39100