Minor perturbations in persona format, instruction framing, and network structure shift cooperation by up to 76 percentage points and polarization metrics consistently, showing that LLM social simulations require per-claim robustness audits via the new TRAILS taxonomy.
N icer than humans: How do large lan- guage models behave in the prisoner’s dilemma? arXiv preprint arXiv:2406.13605
5 Pith papers cite this work. Polarity classification is still indexing.
representative citing papers
LLMs in extended security dilemma games show increased conflict with more players, unraveling in finite games, and reduced conflict with communication, providing a new way to probe IR mechanisms.
LLM agents exhibit emergent covert numerical coordination in canonical game settings under restricted or absent communication, shaping strategic outcomes.
Simulations show that cooperative outcomes in network games with personality-driven LLM agents depend on both network connectivity and the placement of pro-social personalities, not just pairwise interaction preferences.
A survey synthesizing recent LLM research and assessing its applicability to financial data analysis.
citing papers explorer
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Stop Drawing Scientific Claims from LLM Social Simulations Without Robustness Audits
Minor perturbations in persona format, instruction framing, and network structure shift cooperation by up to 76 percentage points and polarization metrics consistently, showing that LLM social simulations require per-claim robustness audits via the new TRAILS taxonomy.
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Multi-Agent Strategic Games with LLMs
LLMs in extended security dilemma games show increased conflict with more players, unraveling in finite games, and reduced conflict with communication, providing a new way to probe IR mechanisms.
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When Numbers Start Talking: Implicit Numerical Coordination Among LLM-Based Agents
LLM agents exhibit emergent covert numerical coordination in canonical game settings under restricted or absent communication, shaping strategic outcomes.
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NetworkGames: Simulating Cooperation in Network Games with Personality-driven LLM Agents
Simulations show that cooperative outcomes in network games with personality-driven LLM agents depend on both network connectivity and the placement of pro-social personalities, not just pairwise interaction preferences.
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Bridging Language Models and Financial Analysis
A survey synthesizing recent LLM research and assessing its applicability to financial data analysis.