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Yunfeng Shi

1 accepted papers

2026

TurtleBench: Evaluating Top Language Models via Real-World Yes/No Puzzles

ICASSP 2026poster

As the application of Large Language Models (LLMs) expands, the demand for reliable evaluations increases. Existing LLM evaluation benchmarks primarily rely on static datasets, making it challenging to assess model performance in dynamic interactions with users. Moreover, these benchmarks often depe…

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