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Found 2 papers, 1 papers with code
Reinforcement Learning with Token-level Feedback for Controllable Text Generation
To meet the requirements of real-world applications, it is essential to control generations of large language models (LLMs).
A Quality-Diversity Controllable GAN for Text Generation
Text generation is a critical and difficult natural language processing task.
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