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Shaohui Kuang

2 accepted papers

2025

CAMIEval: Enhancing NLG Evaluation through Multidimensional Comparative Instruction-Following Analysis

NAACL 2025long

With the rapid development of large language models (LLMs), due to their strong performance across various fields, LLM-based evaluation methods (LLM-as-a-Judge) have become widely used in natural language generation (NLG) evaluation. However, these methods encounter the following challenges: (1) dis…

Cited by 0SourcePDFScholar
2025

FiNE: Filtering and Improving Noisy Data Elaborately with Large Language Models

NAACL 2025long

Data is the lifeblood of large language models (LLMs). While the quantity of open-source data available for training LLMs is substantial, its integrity often falls short. For instance, the open-source chat version of Yi-1.5-9B scores 5.20 on AlignBench, while the Chinese Alpaca-GPT4 version scores 4…

Cited by 0SourcePDFScholar