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Found 3 papers, 2 papers with code
TaylorGAN: Neighbor-Augmented Policy Update Towards Sample-Efficient Natural Language Generation
Score function-based natural language generation (NLG) approaches such as REINFORCE, in general, suffer from low sample efficiency and training instability problems.
TaylorGAN: Neighbor-Augmented Policy Update for Sample-Efficient Natural Language Generation
Score function-based natural language generation (NLG) approaches such as REINFORCE, in general, suffer from low sample efficiency and training instability problems.
CaptainGAN: Navigate Through Embedding Space For Better Text Generation
Score-function-based text generation approaches such as REINFORCE, in general, suffer from high computational complexity and training instability problems.
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