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20242026
most citedBeyond Performance: Quantifying and Mitigating Label Bias in LLMs

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cs.CL2025

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling

Fei Wang, Xingchen Wan, Ruoxi Sun +2

Inference-time scaling has proven effective in boosting large language model (LLM) performance through increased test-time computation. Yet, its practical application is often hind…