Search Results for author:
Found 2 papers, 1 papers with code
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation
In the first case, the agent is required to give the type and parameters of the probability distribution through the problem description, and then give the sampling sequence.
Knowledge Boundary and Persona Dynamic Shape A Better Social Media Agent
For dynamic persona information, we use current action information to internally retrieve the persona information of the agent, thereby reducing the interference of diverse persona information on the current action.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
