Are We Testing Too Much? A Survey of Benchmark Compression for Efficient Evaluation of Large Language Models
Benchmarks are essential for evaluating and improving large language models (LLMs). Yet many widely used benchmarks are redundant, making evaluation unnecessarily expensive. Benchmark compression lowers this cost by estimating full-benchmark scores and rankings from a partial evaluation. Research in this area has grown...
Guo-Ming Ling, Yupei Lin, Zhong-Zhan Huang et al.
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