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n | "author": "Ganqu Cui", | n | "author": "Wenxuan Zhou", |
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n | "https://doi.org/10.48550/arXiv.2407.06645" | n | "https://doi.org/10.48550/arXiv.2406.11827" |
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| "doi_date_published": "2024-12-16", | | "doi_date_published": "2024-12-16", |
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| "domain": "https://service.tib.eu/ldmservice", | | "domain": "https://service.tib.eu/ldmservice", |
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| { | | { |
n | "extra_author": "Lifan Yuan", | n | "extra_author": "Ravi Agrawal", |
| "orcid": "" | | "orcid": "" |
| }, | | }, |
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n | "extra_author": "Ning Ding", | n | "extra_author": "Shujian Zhang", |
| "orcid": "" | | "orcid": "" |
| }, | | }, |
| { | | { |
n | "extra_author": "Guanming Yao", | n | "extra_author": "Sathish Reddy Indurthi", |
| "orcid": "" | | "orcid": "" |
| }, | | }, |
| { | | { |
n | "extra_author": "Wei Zhu", | n | "extra_author": "Sanqiang Zhao", |
| "orcid": "" | | "orcid": "" |
| }, | | }, |
| { | | { |
n | "extra_author": "Yuan Ni", | n | "extra_author": "Kaiqiang Song", |
| "orcid": "" | | "orcid": "" |
| }, | | }, |
| { | | { |
n | "extra_author": "Guotong Xie", | n | "extra_author": "Silei Xu", |
| "orcid": "" | | "orcid": "" |
| }, | | }, |
| { | | { |
n | "extra_author": "Zhiyuan Liu", | n | "extra_author": "Chenguang Zhu", |
| "orcid": "" | | |
| }, | | |
| { | | |
| "extra_author": "Maosong Sun", | | |
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| "name": "ultrafeedback", | | "name": "ultrafeedback", |
n | "notes": "UltraFeedback is a dataset consisting of AI feedback where | n | "notes": "The dataset used in the paper is Ultrafeedback, which is a |
| GPT-4 rates responses obtained from four different language models for | | preference dataset that contains 63k preference pairs sampled from |
| the 64k prompts, based on four principles of helpfulness, | | models other than the SFT model.", |
| instruction-following, truthfulness, and honesty.", | | |
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