PopALM introduces a novel approach to align language models with social media popularity, enhancing the prediction of trendy responses through reinforcement learning and curriculum learning.
Proposing Popularity-Aligned Language Models (PopALM) to predict trendy responses on social media by aligning language generation with popularity through reinforcement learning.
PopALM proposes popularity-aligned language models to predict trendy social media responses, enhancing performance and reflecting public sentiment accurately.
PopALM zielt darauf ab, populäre Antworten in sozialen Medien vorherzusagen und nutzt dafür ein neuartiges Modell, das durch Curriculum Learning und Proximal Policy Optimization trainiert wird.