An evaluation of LLMs for generating movie reviews

Comments (2)

magicalhippo · 7h ago

Our study highlighted both the strengths and limitations of LLMs in generating movie reviews based on movie subtitles and screenplays. Although LLMs demonstrated strong potential for producing grammatically sound, sentiment-aligned, and coherent reviews, they still face challenges in mimicking the emotional depth, subjective nuance, and detail-oriented style found in IMDb reviews. Future research should focus on enhancing emotional control, expanding model training with diverse datasets, and incorporating multimodal inputs to help LLMs better capture the richness of IMDb review writing.

But like, why? I admit I just skimmed the article, but I don't really see any motivation for studying this, or trying to make the LLMs write "better" reviews. What am I missing?

PaulHoule · 57m ago

It is looking at the subtitles & screenplay so "knows" about that but it doesn't have access to the visual content or the sound so it can't comment on how good the sets or actors or visual effects look, the music, the voices, etc.

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An evaluation of LLMs for generating movie reviews

Comments (2)