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pro vyhledávání: '"Zhoubian, Sining"'
Recent methodologies in LLM self-training mostly rely on LLM generating responses and filtering those with correct output answers as training data. This approach often yields a low-quality fine-tuning training set (e.g., incorrect plans or intermedia
Externí odkaz:
http://arxiv.org/abs/2406.03816
Rock Classification is an essential geological problem since it provides important formation information. However, exploration on this problem using convolutional neural networks is not sufficient. To tackle this problem, we propose two approaches us
Externí odkaz:
http://arxiv.org/abs/2402.11831
SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models
Autor:
Zhang, Dan, Hu, Ziniu, Zhoubian, Sining, Du, Zhengxiao, Yang, Kaiyu, Wang, Zihan, Yue, Yisong, Dong, Yuxiao, Tang, Jie
Large Language Models (LLMs) have shown promise in assisting scientific discovery. However, such applications are currently limited by LLMs' deficiencies in understanding intricate scientific concepts, deriving symbolic equations, and solving advance
Externí odkaz:
http://arxiv.org/abs/2401.07950