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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Haoyu Wang",
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  "author": "Haoyu Wang",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [],
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  "citation": [],
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2402.07610",
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  "defined_in": "https://doi.org/10.48550/arXiv.2402.07610",
            
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  "doi": "10.57702/geepzxt9",
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  "doi": "10.57702/geepzxt9",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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  "doi_publisher": "TIB",
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  "domain": "https://service.tib.eu/ldmservice",
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  "domain": "https://service.tib.eu/ldmservice",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Guozheng Ma",
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      "extra_author": "Guozheng Ma",
            
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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": "Ziqiao Meng",
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      "extra_author": "Ziqiao Meng",
            
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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": "Zeyu Qin",
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      "extra_author": "Zeyu Qin",
            
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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": "Li Shen",
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      "extra_author": "Li Shen",
            
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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": "Zhong Zhang",
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      "extra_author": "Zhong Zhang",
            
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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": "Bingzhe Wu",
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      "extra_author": "Bingzhe Wu",
            
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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": "Liu Liu",
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      "extra_author": "Liu Liu",
            
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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": "Yatao Bian",
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      "extra_author": "Yatao Bian",
            
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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": "Tingyang Xu",
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      "extra_author": "Tingyang Xu",
            
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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": "Xueqian Wang",
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      "extra_author": "Xueqian Wang",
            
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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": "Peilin Zhao",
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      "extra_author": "Peilin Zhao",
            
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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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      "name": "text-classification",
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      "name": "text-classification",
            
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  "name": 
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  "name": 
            
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tep-on-feet-tuning--scaling-self-alignment-of-llms-via-bootstrapping",
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tep-on-feet-tuning--scaling-self-alignment-of-llms-via-bootstrapping",
            
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  "notes": "Self-alignment is an effective way to reduce the cost of 
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  "notes": "Self-alignment is an effective way to reduce the cost of 
            
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human annotation while ensuring promising model capability. This 
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human annotation while ensuring promising model capability. This 
            
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objective can be achieved from three aspects: (i) high quality data 
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objective can be achieved from three aspects: (i) high quality data 
            
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generation aspect, (ii) ready-made data utilizing aspect, (iii) model 
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generation aspect, (ii) ready-made data utilizing aspect, (iii) model 
            
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internal capacity utilizing aspect.",
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internal capacity utilizing aspect.",
            
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      "created": "2024-12-16T18:25:45",
            
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      "description": "The json representation of the dataset with its 
            
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distributions based on DCAT.",
            
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      "format": "JSON",
            
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      "hash": "",
            
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      "id": "0ba294c9-8687-42d6-a9f5-04fce7137173",
            
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  "tags": [
            
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      "display_name": "LLMs",
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      "id": "61771b29-ae87-4956-bf63-9263311f3ef5",
            
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      "name": "LLMs",
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      "id": "deb123b6-4f28-40bf-a6ee-14b95c1584c9",
            
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      "name": "bootstrapping",
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      "name": "bootstrapping",
            
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      "display_name": "data diversity",
            
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      "id": "4a8030dc-77c2-47eb-883b-9318dc45bc16",
            
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      "name": "data diversity",
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      "name": "data diversity",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "self-alignment",
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      "display_name": "self-alignment",
            
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      "id": "ccf4f34f-4eb7-487c-a518-8591736c1add",
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      "id": "ccf4f34f-4eb7-487c-a518-8591736c1add",
            
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      "name": "self-alignment",
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      "name": "self-alignment",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via 
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  "title": "Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via 
            
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Bootstrapping",
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Bootstrapping",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}