From Word Models To World Models - , gabriel grand , alexander k. Published on jun 22, 2023. Web from word models to world models: From word models to world models: [submitted on 22 jun 2023 ( v1 ), last revised 23 jun 2023 (this version, v2)] (submitted on 22 jun 2023 ( v1 ), last revised 23 jun 2023 (this version, v2)) Mansinghka, jacob andreas, joshua b. How does language inform our downstream thinking? · featured in daily papers on jun 23, 2023. Translating from natural language to the probabilistic language of thought.
Translating from natural language to the probabilistic language of thought. How does language inform our downstream thinking? Web [2306.12672] from word models to world models: Translating from natural language to the probabilistic language of thought. Lionel wong, gabriel grand, alexander k. Mansinghka, jacob andreas, joshua b. · featured in daily papers on jun 23, 2023. From word models to world models: Computer science > computation and language. Translating from natural language to the probabilistic language of thought. [submitted on 22 jun 2023 ( v1 ), last revised 23 jun 2023 (this version, v2)] Web this work introduces a method for language model driven automated statistical model discovery that matches the performance of previous systems, identifies models on par with human expert designed models, and extends classic models in interpretable ways. Translating from natural language to the probabilistic language of thought. Web from word models to world models: (submitted on 22 jun 2023 ( v1 ), last revised 23 jun 2023 (this version, v2)) Web from word models to world models: , gabriel grand , alexander k. Translating from natural language to the probabilistic language of thought. Published on jun 22, 2023. Web from word models to world models: