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cs.CL2025
LLMs Judge Themselves: A Game-Theoretic Framework for Human-Aligned Evaluation
Gao Yang, Yuhang Liu, Siyu Miao +3
Ideal or real - that is the question.In this work, we explore whether principles from game theory can be effectively applied to the evaluation of large language models (LLMs). This…
cs.CL2023★ 3 cited
MindLLM: Pre-training Lightweight Large Language Model from Scratch, Evaluations and Domain Applications
Yizhe Yang, Huashan Sun, Jiawei Li +5
Large Language Models (LLMs) have demonstrated remarkable performance across various natural language tasks, marking significant strides towards general artificial intelligence. Wh…