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arXiv · 2409.10883

CREAM: Comparison-Based Reference-Free ELO-Ranked Automatic Evaluation for Meeting Summarization

Ziwei Gong·Lin Ai·Harshsaiprasad Deshpande·Alexander Johnson·Emmy Phung·Zehui Wu·Ahmad Emami·Julia Hirschberg
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Abstract

Large Language Models (LLMs) have spurred interest in automatic evaluation methods for summarization, offering a faster, more cost-effective alternative to human evaluation. However, existing methods often fall short when applied to complex tasks like long-context summarizations and dialogue-based meeting summarizations. In this paper, we introduce CREAM (Comparison-Based Reference-Free Elo-Ranked Automatic Evaluation for Meeting Summarization), a novel framework that addresses the unique challenges of evaluating meeting summaries. CREAM leverages a combination of chain-of-thought reasoning and key facts alignment to assess conciseness and completeness of model-generated summaries without requiring reference. By employing an ELO ranking system, our approach provides a robust mechanism for comparing the quality of different models or prompt configurations.

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Ziwei Gong, Lin Ai, Harshsaiprasad Deshpande, Alexander Johnson, Emmy Phung, Zehui Wu, Ahmad Emami, Julia Hirschberg. 2024-09-17. CREAM: Comparison-Based Reference-Free ELO-Ranked Automatic Evaluation for Meeting Summarization. https://arxiv.org/abs/2409.10883

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