2 papers
cs.LG2026
Causality Elicitation from Large Language Models
Takashi Kameyama, Masahiro Kato, Yasuko Hio +2
Large language models (LLMs) are trained on enormous amounts of data and encode knowledge in their parameters. We propose a pipeline to elicit causal relationships from LLMs. Speci…
cs.CE2024
Bilateral Trade Flow Prediction by Gravity-informed Graph Auto-encoder
Naoto Minakawa, Kiyoshi Izumi, Hiroki Sakaji
The gravity models has been studied to analyze interaction between two objects such as trade amount between a pair of countries, human migration between a pair of countries and tra…