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  "access_rights": "",
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  "author": "Tong Wu",
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  "author": "Tong Wu",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [],
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  "defined_in": "https://doi.org/10.48550/arXiv.2305.01639",
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  "defined_in": "https://doi.org/10.48550/arXiv.2305.01639",
            
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  "doi": "10.57702/cl2387qy",
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  "doi": "10.57702/cl2387qy",
            
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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": "Ashwinee Panda",
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      "extra_author": "Ashwinee Panda",
            
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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": "Jiachen T. Wang",
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      "extra_author": "Jiachen T. 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": "Prateek Mittal",
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      "extra_author": "Prateek Mittal",
            
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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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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Differential Privacy",
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      "display_name": "Differential Privacy",
            
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      "name": "differential-privacy",
            
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      "title": "Differential Privacy"
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      "title": "Differential Privacy"
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Natural Language Processing",
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      "display_name": "Natural Language Processing",
            
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      "name": "natural-language-processing",
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      "name": "natural-language-processing",
            
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      "title": "Natural Language Processing"
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      "title": "Natural Language Processing"
            
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  "metadata_created": "2024-12-16T20:38:33.460569",
            
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  "metadata_modified": "2024-12-16T20:38:33.846189",
            
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  "name": 
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  "name": 
            
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"privacy-preserving-in-context-learning-for-large-language-models",
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"privacy-preserving-in-context-learning-for-large-language-models",
            
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  "notes": "In-context learning (ICL) is an important capability of 
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  "notes": "In-context learning (ICL) is an important capability of 
            
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Large Language Models (LLMs), enabling these models to dynamically 
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Large Language Models (LLMs), enabling these models to dynamically 
            
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adapt based on specific, in-context exemplars, thereby improving 
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adapt based on specific, in-context exemplars, thereby improving 
            
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accuracy and relevance. However, LLM\u2019s responses may leak the 
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accuracy and relevance. However, LLM\u2019s responses may leak the 
            
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sensitive private information contained in in-context exemplars. To 
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sensitive private information contained in in-context exemplars. To 
            
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address this challenge, we propose Differentially Private In-context 
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address this challenge, we propose Differentially Private In-context 
            
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Learning (DP-ICL), a general paradigm for privatizing ICL tasks.",
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Learning (DP-ICL), a general paradigm for privatizing ICL tasks.",
            
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  "tags": [
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  "tags": [
            
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    {
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    {
            
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      "display_name": "Large Language Models",
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      "display_name": "Large Language Models",
            
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      "id": "6e366b4a-402d-4c0e-b818-6fec429fc72f",
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      "id": "6e366b4a-402d-4c0e-b818-6fec429fc72f",
            
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      "name": "Large Language Models",
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      "display_name": "differential privacy",
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      "display_name": "differential privacy",
            
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      "id": "671cd2ae-c5e9-4877-9373-fa6f3ead7992",
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      "id": "671cd2ae-c5e9-4877-9373-fa6f3ead7992",
            
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      "name": "differential privacy",
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      "name": "differential privacy",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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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": "in-context learning",
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      "display_name": "in-context learning",
            
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      "id": "b1d7e140-dacb-46a1-932f-9f2406acebb0",
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      "id": "b1d7e140-dacb-46a1-932f-9f2406acebb0",
            
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      "name": "in-context learning",
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      "name": "in-context learning",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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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": "PRIVACY-PRESERVING IN-CONTEXT LEARNING FOR LARGE LANGUAGE 
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  "title": "PRIVACY-PRESERVING IN-CONTEXT LEARNING FOR LARGE LANGUAGE 
            
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MODELS",
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MODELS",
            
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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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}