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arXiv cs.CL
arXiv cs.CL
7/9/2026
Comprehensive Evaluation of Large Language Model Responses: A Multi-Factor Scoring System

Comprehensive Evaluation of Large Language Model Responses: A Multi-Factor Scoring System

Short summary

This paper proposes a multi-factor scoring paradigm for LLM responses integrating accuracy, conciseness, factual consistency, readability, and coherence, with a GUI for visualization. Evaluated on TruthfulQA, mainstream LLMs peak at a composite score of 0.6104 on reasoning but struggle with complex facts and ambiguity. The framework aims to extend to multilingual domains in future work.

  • •Five-factor scoring system: accuracy, conciseness, factual consistency, readability, coherence
  • •TruthfulQA evaluation shows LLMs peak at 0.6104 composite score
  • •GUI provided for visualizing evaluation outcomes

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Read full article at arXiv cs.CL

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