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This paper introduces PersuasionTrace, a framework for studying multi-turn persuasion in human-LLM interaction, using a Bayesian-network simulated target that models belief updates. The framework reveals that LLMs are persuasive across topics and modalities, and that the Bayesian target better matches human belief dynamics than vanilla LLM simulators.
This week, 9 new records were added to the autoresearch ecosystem, bringing the total to 383, covering multiple open-source tools and projects such as the AutoResearch-RL reinforcement learning framework, lance-autoresearch database kernel optimization, and Clio prediction market backtesting framework.