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Reinald Kim Amplayo, Stefanos Angelidis, Mirella Lapata · 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · DOI 10.18653/v1/2021.emnlp-main.528

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cs.CL 1

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2025 1

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LLMs as Architects and Critics for Multi-Source Opinion Summarization

cs.CL · 2025-07-07 · conditional · novelty 5.0

A new benchmark and prompt framework for generating and automatically evaluating product summaries that blend customer reviews with product metadata, with the best evaluator reaching 0.74 average Spearman correlation with human judgments.

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  • LLMs as Architects and Critics for Multi-Source Opinion Summarization cs.CL · 2025-07-07 · conditional · none · ref 2

    A new benchmark and prompt framework for generating and automatically evaluating product summaries that blend customer reviews with product metadata, with the best evaluator reaching 0.74 average Spearman correlation with human judgments.