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pro vyhledávání: '"Borazjanizadeh, Nasim"'
Despite their linguistic competence, Large Language models (LLMs) often exhibit limitations in their ability to reason reliably and flexibly. To address this, we propose a neurosymbolic approach that prompts LLMs to extract and encode all relevant in
Externí odkaz:
http://arxiv.org/abs/2407.11373
Recently, Large Language Models (LLMs) attained impressive performance in math and reasoning benchmarks. However, they still often struggle with logic problems and puzzles that are relatively easy for humans. To further investigate this, we introduce
Externí odkaz:
http://arxiv.org/abs/2406.12172