wang2226/Awesome-LLM-Decoding
📜 Paper list on decoding methods for LLMs and LVLMs
This resource helps researchers and practitioners understand and apply advanced methods for controlling how large language models (LLMs) and large vision-language models (LVLMs) generate text and other outputs. It provides a comprehensive list of research papers and tutorials on various decoding strategies, showing what goes into these models and how different decoding techniques influence the final generated content. Anyone working on improving the quality, efficiency, or alignment of generative AI models would find this valuable.
Use this if you are a researcher or engineer looking to explore and implement different decoding strategies to enhance the output of your generative AI models.
Not ideal if you are an end-user simply looking for a ready-to-use application of generative AI without delving into its technical underpinnings.
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Last pushed
Nov 07, 2025
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