2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.CL2022★ 2 cited
On the probability-quality paradox in language generation
Clara Meister, Gian Wiher, Tiago Pimentel +1
When generating natural language from neural probabilistic models, high probability does not always coincide with high quality: It has often been observed that mode-seeking decodin…
cs.CL2022
On Decoding Strategies for Neural Text Generators
Gian Wiher, Clara Meister, Ryan Cotterell
When generating text from probabilistic models, the chosen decoding strategy has a profound effect on the resulting text. Yet the properties elicited by various decoding strategies…
cs.CL2022
Locally Typical Sampling
Clara Meister, Tiago Pimentel, Gian Wiher +1
Today's probabilistic language generators fall short when it comes to producing coherent and fluent text despite the fact that the underlying models perform well under standard met…