2 papers
cs.CL2024
Can Language Models Take A Hint? Prompting for Controllable Contextualized Commonsense Inference
Pedro Colon-Hernandez, Nanxi Liu, Chelsea Joe +5
Generating commonsense assertions within a given story context remains a difficult task for modern language models. Previous research has addressed this problem by aligning commons…
cs.AI2024
Empirical Asset Pricing with Large Language Model Agents
Junyan Cheng, Peter Chin
In this study, we introduce a novel asset pricing model leveraging the Large Language Model (LLM) agents, which integrates qualitative discretionary investment evaluations from LLM…