In a zero-sum horse-race game with provided random choices, stronger LLMs randomize more when explicitly hinted and weaker models stay deterministic, but the equilibrium claim and metrics are not reliably established.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Do LLMs Know When to Flip a Coin? Strategic Randomization through Reasoning and Experience
In a zero-sum horse-race game with provided random choices, stronger LLMs randomize more when explicitly hinted and weaker models stay deterministic, but the equilibrium claim and metrics are not reliably established.