"A wide range of real-world applications is characterized by their symbolic nature, necessitating a strong capability for symbolic reasoning. This paper investigates the potential application of Large Language Models as symbolic reasoners. We focus on text-based games, significant benchmarks for agents with natural language capabilities, particularly in symbolic tasks like math, map reading, sorting, and applying common sense in text-based worlds..."
https://arxiv.org/abs/2401.09334
Mark Pesce /
npub13v…7ac7t
2024-03-13 07:19:13
Author Public Key
npub13v80f8g3c9rkxnlgrewl23zq0u66cr9qr55gpqk62aksgp8mhk8s07ac7tPublished at
2024-03-13 07:19:13Event JSON
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"content": "\"A wide range of real-world applications is characterized by their symbolic nature, necessitating a strong capability for symbolic reasoning. This paper investigates the potential application of Large Language Models as symbolic reasoners. We focus on text-based games, significant benchmarks for agents with natural language capabilities, particularly in symbolic tasks like math, map reading, sorting, and applying common sense in text-based worlds...\"\n\nhttps://arxiv.org/abs/2401.09334",
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