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AI/논문 리뷰(Paper Review)2

[논문리뷰] Fine-grained Post-training for Improving Retrieval-based Dialogue Systems. NAACL 2021 Fine-grained Post-training for Improving Retrieval-based Dialogue Systems [저자] Janghoon Han(Department of Computer Science and Engineering- Sogang University, LG AI Research), Taesuk Hong, Byoungjae Kim, Youngjoong Ko, and Jungyun Seo [게재] NAACL, 2021 June [pdf] [인용수] 26회인용 [요약] 대화 응답 선택 (Conversational Response Selection) 태스크의 대표 3가지 데이터셋(Ubuntu, Duoban, E-commerce)에서 아래 2가지를 적용한 'fine-grained .. 2023. 1. 18.
[논문리뷰] SupCon(2020), Supervised Contrastive Learning SupCon(2020), Supervised Contrastive Learning [저자] Prannay Khosla(Google Reasearch), Piotr Teterwak(Boston University), Chen Wang(Snap Inc.), Aaron Sarna(Google Reasearch), Yonglong Tian(MIT), Phillip Isola(MIT), Aaron Maschinot(Google Reasearch), Ce Liu(Google Reasearch), Dilip Krishnan(Google Reasearch) [인용수] 528회인용 (구글 스칼라 검색 기준) [버전] 5개 [v1] 23 Apr 2020 , [v2] 29 Oct 2020 , [v3] 13 Nov 2020,.. 2022. 1. 7.

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