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  "author": "Ling Yang",
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  "author": "Ling Yang",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2406.04271",
            
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  "doi": "10.57702/6z041tgi",
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  "doi": "10.57702/6z041tgi",
            
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    {
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      "extra_author": "Zhaochen Yu",
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      "extra_author": "Zhaochen Yu",
            
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      "extra_author": "Tianjun Zhang",
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      "extra_author": "Tianjun Zhang",
            
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      "orcid": ""
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    },
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      "extra_author": "Shiyi Cao",
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      "extra_author": "Shiyi Cao",
            
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      "orcid": ""
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    },
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      "extra_author": "Minkai Xu",
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      "extra_author": "Minkai Xu",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Wentao Zhang",
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      "extra_author": "Wentao Zhang",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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      "extra_author": "Joseph E. Gonzalez",
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Bin Cui",
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      "extra_author": "Bin Cui",
            
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      "orcid": ""
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"https://github.com/YangLing0818/buffer-of-thought-llm",
            
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  "name": "buffer-of-thoughts",
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  "name": "buffer-of-thoughts",
            
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  "notes": "Buffer of Thoughts is a novel and versatile 
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  "notes": "Buffer of Thoughts is a novel and versatile 
            
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thought-augmented reasoning approach for enhancing accuracy, 
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thought-augmented reasoning approach for enhancing accuracy, 
            
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efficiency and robustness of large language models (LLMs).",
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efficiency and robustness of large language models (LLMs).",
            
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  "title": "Buffer of Thoughts",
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}
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}