Papers by Benjamin Wachspress
GPT Deciphering Fedspeak: Quantifying Dissent Among Hawks and Doves (2023.findings-emnlp)
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| Challenge: | We use GPT-4 to quantify dissent among members on the topic of inflation . transcripts and minutes reflect the diversity of member views in a way that is lost or omitted from the public statements. |
| Approach: | They use transcripts and minutes to quantify dissent among FOMC members . they find that transcripts reflect diversity of member views in a way that is lost or omitted . |
| Outcome: | The proposed method better captures extremes, which mirror human annotations, and suggests that Large Language Models can avoid noise in this nuanced context. |