Can large language model agents simulate human trust behaviors?
Large Language Model (LLM) agents have been increasingly adopted as simulation tools to model humans in applications such as social science. However, one fundamental question remains: can LLM agents really simulate human behaviors? In this paper, we focus on one of the most critical behaviors in hum...
Autores principales: | Xie, C, Chen, C, Jia, F, Ye, Z, Shu, K, Bibi, A, Hu, Z, Torr, P, Ghanem, B, Li, G |
---|---|
Formato: | Conference item |
Lenguaje: | English |
Publicado: |
Neural Information Processing Systems Foundation
2024
|
Ejemplares similares
-
CRAB: cross-environment agent benchmark for multimodal language model agents
por: Xu, T, et al.
Publicado: (2024) -
Large Language Models: Trust and Regulation
por: David Banks, et al.
Publicado: (2024-08-01) -
CAT: enhancing multimodal large language model to answer questions in dynamic audio-visual scenarios
por: Ye, Q, et al.
Publicado: (2024) -
Select to perfect: imitating desired behavior from large multi-agent data
por: Franzmeyer, T, et al.
Publicado: (2024) -
Language model tokenizers introduce unfairness between languages
por: Petrov, A, et al.
Publicado: (2024)