5.3k citations · 12.9k across the 21 of their papers we have counts for
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cs.CL2022★ 16 cited
A Holistic Approach to Undesired Content Detection in the Real World
Todor Markov, Chong Zhang, Sandhini Agarwal +5
We present a holistic approach to building a robust and useful natural language classification system for real-world content moderation. The success of such a system relies on a ch…
cs.CL2022★ 4.3k cited
Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang +17
Making language models bigger does not inherently make them better at following a user's intent. For example, large language models can generate outputs that are untruthful, toxic,…