3 papers
cs.CY2025
KOKKAI DOC: An LLM-driven framework for scaling parliamentary representatives
Ken Kato, Christopher Cochrane
This paper introduces an LLM-driven framework designed to accurately scale the political issue stances of parliamentary representatives. By leveraging advanced natural language pro…
q-fin.CP2024
NIFTY Financial News Headlines Dataset
Raeid Saqur, Ken Kato, Nicholas Vinden +1
We introduce and make publicly available the NIFTY Financial News Headlines dataset, designed to facilitate and advance research in financial market forecasting using large languag…
cs.CL2024
L(u)PIN: LLM-based Political Ideology Nowcasting
Ken Kato, Annabelle Purnomo, Christopher Cochrane +1
The quantitative analysis of political ideological positions is a difficult task. In the past, various literature focused on parliamentary voting data of politicians, party manifes…