Centralized matching mechanisms outperform free negotiation in stability and efficiency with LLM agents, who also report preferences truthfully more often than humans, though not always in line with strategy-proofness predictions.
Kirshner, Anton Ovchinnikov, Meena Andiappan, and Tracy Jenkin
2 Pith papers cite this work. Polarity classification is still indexing.
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STAMP-LLM is a two-phase psychometric protocol for designing and applying bias measures to LLMs, illustrated with one explicit and two implicit racial bias tests.
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Designing Psychometric Bias Measures for ChatBots: An Application to Racial Bias Measurement
STAMP-LLM is a two-phase psychometric protocol for designing and applying bias measures to LLMs, illustrated with one explicit and two implicit racial bias tests.