Feb. 13, 2024, 5:48 a.m. | Chufan Shi Haoran Yang Deng Cai Zhisong Zhang Yifan Wang Yujiu Yang Wai Lam

cs.CL updates on arXiv.org arxiv.org

Decoding methods play an indispensable role in converting language models from next-token predictors into practical task solvers. Prior research on decoding methods, primarily focusing on task-specific models, may not extend to the current era of general-purpose large language models (LLMs). Moreover, the recent influx of decoding strategies has further complicated this landscape. This paper provides a comprehensive and multifaceted analysis of various decoding methods within the context of LLMs, evaluating their performance, robustness to hyperparameter changes, and decoding speeds across …

cs.cl current decoding general language language models large language large language models llms next practical prior research role strategies token

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