Papers by Mingshuo Wang

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Challenge:	Recent advances in Large Language Models (LLMs) have significantly enhanced the capacity of Automatic Story Evaluation.
Approach:	They propose a method to distill raw reviews into generally agreed viewpoints across key evaluation aspects such as plot and character.
Outcome:	The proposed model outperforms open-source baselines and raises Qwen3’s Kendall’s tau correlation with human judgments from 24.8 to 34.1.