60 citations · 127 across the 8 of their papers we have counts for
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cs.CL2023★ 1 cited
OlaGPT: Empowering LLMs With Human-like Problem-Solving Abilities
Yuanzhen Xie, Tao Xie, Mingxiong Lin +7
In most current research, large language models (LLMs) are able to perform reasoning tasks by generating chains of thought through the guidance of specific prompts. However, there…
cs.CL2019★ 4 cited
Interpretable Text Classification Using CNN and Max-pooling
Hao Cheng, Xiaoqing Yang, Zang Li +2
Deep neural networks have been widely used in text classification. However, it is hard to interpret the neural models due to the complicate mechanisms. In this work, we study the i…