Computer Science > Computation and Language
[Submitted on 8 Mar 2024 (v1), last revised 18 Apr 2024 (this version, v3)]
Title:Is this the real life? Is this just fantasy? The Misleading Success of Simulating Social Interactions With LLMs
View PDF HTML (experimental)Abstract:Recent advances in large language models (LLM) have enabled richer social simulations, allowing for the study of various social phenomena. However, most recent work has used a more omniscient perspective on these simulations (e.g., single LLM to generate all interlocutors), which is fundamentally at odds with the non-omniscient, information asymmetric interactions that involve humans and AI agents in the real world. To examine these differences, we develop an evaluation framework to simulate social interactions with LLMs in various settings (omniscient, non-omniscient). Our experiments show that LLMs perform better in unrealistic, omniscient simulation settings but struggle in ones that more accurately reflect real-world conditions with information asymmetry. Our findings indicate that addressing information asymmetry remains a fundamental challenge for LLM-based agents.
Submission history
From: Xuhui Zhou [view email][v1] Fri, 8 Mar 2024 03:49:17 UTC (1,312 KB)
[v2] Wed, 20 Mar 2024 20:44:17 UTC (1,312 KB)
[v3] Thu, 18 Apr 2024 18:55:07 UTC (1,266 KB)
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