most citedTencentLLMEval: A Hierarchical Evaluation of Real-World Capabilities for Human-Aligned LLMs

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CL2023★ 2 cited

TencentLLMEval: A Hierarchical Evaluation of Real-World Capabilities for Human-Aligned LLMs

Shuyi Xie, Wenlin Yao, Yong Dai +11

Large language models (LLMs) have shown impressive capabilities across various natural language tasks. However, evaluating their alignment with human preferences remains a challeng…