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pro vyhledávání: '"Jin, Xiaoran"'
One way to enhance the reasoning capability of Large Language Models (LLMs) is to conduct Supervised Fine-Tuning (SFT) using Chain-of-Thought (CoT) annotations. This approach does not show sufficiently strong generalization ability, however, because
Externí odkaz:
http://arxiv.org/abs/2401.08967
Chain-of-Thought (CoT) plays a crucial role in reasoning for math problem solving. We conduct a comprehensive examination of methods for designing CoT, comparing conventional natural language CoT with various program CoTs, including the self-describi
Externí odkaz:
http://arxiv.org/abs/2309.11054
This paper presents GenDoc, a general sequence-to-sequence document understanding model pre-trained with unified masking across three modalities: text, image, and layout. The proposed model utilizes an encoder-decoder architecture, which allows for i
Externí odkaz:
http://arxiv.org/abs/2305.10448
Akademický článek
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Publikováno v:
ACS Applied Materials & Interfaces; July 2024, Vol. 16 Issue: 28 p36333-36342, 10p
Akademický článek
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Autor:
Yang B; School of Chemistry and Chemical Engineering, Ningxia Key Laboratory of Solar Chemical Conversion Technology, Key Laboratory for Chemical Engineering and Technology, State Ethnic Affairs Commission, North Minzu University, Yinchuan 750021, P.R.China., Jin F; School of Chemistry and Chemical Engineering, Ningxia Key Laboratory of Solar Chemical Conversion Technology, Key Laboratory for Chemical Engineering and Technology, State Ethnic Affairs Commission, North Minzu University, Yinchuan 750021, P.R.China., Pan X; Carbon Peak and Neutrality Policy Studies Division, National Energy Conservation Center, Beijing 100045, China., Jin X; School of Chemistry and Chemical Engineering, Ningxia Key Laboratory of Solar Chemical Conversion Technology, Key Laboratory for Chemical Engineering and Technology, State Ethnic Affairs Commission, North Minzu University, Yinchuan 750021, P.R.China., Jin Z; School of Chemistry and Chemical Engineering, Ningxia Key Laboratory of Solar Chemical Conversion Technology, Key Laboratory for Chemical Engineering and Technology, State Ethnic Affairs Commission, North Minzu University, Yinchuan 750021, P.R.China.
Publikováno v:
ACS applied materials & interfaces [ACS Appl Mater Interfaces] 2024 Jul 17; Vol. 16 (28), pp. 36333-36342. Date of Electronic Publication: 2024 Jul 01.