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  "author": "Yucheng Zhou",
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  "author": "Yucheng Zhou",
            
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  "doi": "10.57702/ams4ux8o",
            
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  "doi_date_published": "2025-01-02",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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      "extra_author": "Xiubo Geng",
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      "extra_author": "Xiubo Geng",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Tao Shen",
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      "extra_author": "Tao Shen",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Chongyang Tao",
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      "extra_author": "Chongyang Tao",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Guodong Long",
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      "extra_author": "Guodong Long",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Jian-Guang Lou",
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      "extra_author": "Jian-Guang Lou",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Jianbing Shen",
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      "extra_author": "Jianbing Shen",
            
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      "orcid": ""
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      "orcid": ""
            
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  "name": "mtcr",
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  "name": "mtcr",
            
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  "notes": "The Multi-Turn Conversation Response (MTCR) dataset, which 
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  "notes": "The Multi-Turn Conversation Response (MTCR) dataset, which 
            
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is used to evaluate the effectiveness of the Thread of Thought (ThoT) 
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is used to evaluate the effectiveness of the Thread of Thought (ThoT) 
            
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strategy in handling chaotic contextual information in multi-turn 
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strategy in handling chaotic contextual information in multi-turn 
            
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}