Search Results for author: Mingxiong Lin

Found 2 papers, 1 papers with code

Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm

1 code implementation16 Feb 2024 Yuanzhen Xie, Xinzhou Jin, Tao Xie, Mingxiong Lin, Liang Chen, Chenyun Yu, Lei Cheng, Chengxiang Zhuo, Bo Hu, Zang Li

To improve the contextual learning capabilities of LLMs in text-to-SQL, a workflow paradigm method is proposed, aiming to enhance the attention and problem-solving scope of LLMs through decomposition.

Active Learning In-Context Learning +1

OlaGPT: Empowering LLMs With Human-like Problem-Solving Abilities

no code implementations23 May 2023 Yuanzhen Xie, Tao Xie, Mingxiong Lin, WenTao Wei, Chenglin Li, Beibei Kong, Lei Chen, Chengxiang Zhuo, Bo Hu, Zang Li

At present, most approaches focus on chains of thought (COT) and tool use, without considering the adoption and application of human cognitive frameworks.

Active Learning Decision Making +1

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