9 citations · 19 across the 4 of their papers we have counts for
Showing 2023Show all
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cs.RO2023★ 8 cited
Statler: State-Maintaining Language Models for Embodied Reasoning
Takuma Yoneda, Jiading Fang, Peng Li +7
There has been a significant research interest in employing large language models to empower intelligent robots with complex reasoning. Existing work focuses on harnessing their ab…
cs.CL2023★ 9 cited
CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors
Peng Li, Tianxiang Sun, Qiong Tang +4
Large language models (LLMs) pre-trained on massive corpora have demonstrated impressive few-shot learning ability on many NLP tasks. A common practice is to recast the task into a…