jxzhangjhu/awesome-LLM-controlled-decoding-generation
awesome-LLM-controlled-constrained-generation
This resource collects and organizes cutting-edge research papers focused on making large language models (LLMs) generate text that is more specific, accurate, and aligned with user intentions. It helps AI researchers and practitioners find methods to reduce common LLM issues like 'hallucinations' or off-topic responses. The primary inputs are academic papers on controlling LLM outputs, and the output is a curated list of influential work categorized by technique.
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Use this if you are an AI researcher or practitioner looking for advanced techniques to gain more precise control over the text generated by large language models, especially to improve factual accuracy or adherence to specific styles.
Not ideal if you are looking for an off-the-shelf software tool or a basic introduction to using large language models.
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Aug 16, 2024
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