28 citations · 35 across the 11 of their papers we have counts for
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cs.CL2024
Large Language Models Prompting With Episodic Memory
Dai Do, Quan Tran, Svetha Venkatesh +1
Prompt optimization is essential for enhancing the performance of Large Language Models (LLMs) in a range of Natural Language Processing (NLP) tasks, particularly in scenarios of f…
cs.CL2023★ 28 cited
CodeT5+: Open Code Large Language Models for Code Understanding and Generation
Yue Wang, Hung Le, Akhilesh Deepak Gotmare +3
Large language models (LLMs) pretrained on vast source code have achieved prominent progress in code intelligence. However, existing code LLMs have two main limitations in terms of…