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20162023
most citedClosing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks

86 citations · 255 across the 20 of their papers we have counts for

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2 papers · 1 filter

cs.CL2023★ 7 cited

Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM

Bochuan Cao, Yuanpu Cao, Lu Lin +1

Recently, Large Language Models (LLMs) have made significant advancements and are now widely used across various domains. Unfortunately, there has been a rising concern that LLMs c…

cs.CL2022★ 49 cited

Do Language Models Plagiarize?

Jooyoung Lee, Thai Le, Jinghui Chen +1

Past literature has illustrated that language models (LMs) often memorize parts of training instances and reproduce them in natural language generation (NLG) processes. However, it…