Byzantine betrayal causes persistent cooperation in some LLMs despite exploitation due to unanimity payoffs, while explicit topology restrictions collapse coordination unlike silent ones, revealing meta-reasoning vulnerabilities.
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4 Pith papers cite this work. Polarity classification is still indexing.
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A small set of sparse autoencoder features in LLMs drives shifts between generous and selfish allocations in dictator games, with causal patching and steering confirming their role and generalization to other social games.
Stronger reasoning models in LLMs reduce behavioral negotiation by defaulting to authority outcomes in multi-agent settings, unlike structured scaffolds that enable concessions.
A game-theoretic heterogeneous graph network models investor interactions to forecast stock prices and outperforms prior methods on two benchmark datasets.
citing papers explorer
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Understanding the Mechanism of Altruism in Large Language Models
A small set of sparse autoencoder features in LLMs drives shifts between generous and selfish allocations in dictator games, with causal patching and steering confirming their role and generalization to other social games.