Papers by Yanliang Guo

1 papers
Semantic-Eval : A Semantic Comprehension Evaluation Framework for Large Language Models Generation without Training (2025.acl-long)

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Challenge: Large language models (LLMs) have emerged as key drivers of progress in the field of natural language processing.
Approach: They propose a framework that assesses LLM-generated text based on semantic understanding.
Outcome: The proposed framework surpasses traditional evaluation metrics and lags behind GPT-4.

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