2 papers
cs.AI2024
Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning
Wasu Top Piriyakulkij, Cassidy Langenfeld, Tuan Anh Le +1
We give a model of how to infer natural language rules by doing experiments. The model integrates Large Language Models (LLMs) with Monte Carlo algorithms for probabilistic inferen…
cs.CL2023
Active Preference Inference using Language Models and Probabilistic Reasoning
Wasu Top Piriyakulkij, Volodymyr Kuleshov, Kevin Ellis
Actively inferring user preferences, for example by asking good questions, is important for any human-facing decision-making system. Active inference allows such systems to adapt a…