2 papers
cs.LG2025
Causal Discovery from Conditionally Stationary Time Series
Carles Balsells-Rodas, Xavier Sumba, Tanmayee Narendra +4
Causal discovery, i.e., inferring underlying causal relationships from observational data, is highly challenging for AI systems. In a time series modeling context, traditional caus…
cs.CL2024
CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models
Ruibo Tu, Hedvig Kjellström, Gustav Eje Henter +1
Causal reasoning capabilities are essential for large language models (LLMs) in a wide range of applications, such as education and healthcare. But there is still a lack of benchma…