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pro vyhledávání: '"Choi, Jaepill"'
In abstractive summarization, the challenge of producing concise and accurate summaries arises from the vast amount of information contained in the source document. Consequently, although Large Language Models (LLMs) can generate fluent text, they of
Externí odkaz:
http://arxiv.org/abs/2409.18618
A primary challenge in abstractive summarization is hallucination -- the phenomenon where a model generates plausible text that is absent in the source text. We hypothesize that the domain (or topic) of the source text triggers the model to generate
Externí odkaz:
http://arxiv.org/abs/2404.09480