Maxwell Forbes
3 papers in the PaperMetrix corpus
Papers by this author
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Scarecrow: A Framework for Scrutinizing Machine Text.
2021 · arXiv (Cornell University)
Modern neural text generation systems can produce remarkably fluent and grammatical texts. While earlier language models suffered from repetition and syntactic errors, the errors made by contemporary models are often semantic, narrative, or discourse failures. …
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The Curious Case of Neural Text Degeneration
2019 · arXiv (Cornell University)
Despite considerable advancements with deep neural language models, the enigma of neural text degeneration persists when these models are tested as text generators. The counter-intuitive empirical observation is that even though the use of likelihood …
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The Curious Case of Neural Text Degeneration
2020 · arXiv (Cornell University)
Despite considerable advances in neural language modeling, it remains an open question what the best decoding strategy is for text generation from a language model (e.g. to generate a story). The counter-intuitive empirical observation is …