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Controllable Neural Text Generation

lilianweng.github.io
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Category
Other
Type
ARTICLE
Added
Jul 21, 2026

About

[Updated on 2021-02-01: Updated to version 2.0 with several work added and many typos fixed.] [Updated on 2021-05-26: Add P-tuning and Prompt Tuning in the “prompt design” section.] [Updated on 2021-09-19: Add “unlikelihood training” .]

Why it made the leaderboard

A deep technical survey of how to steer language model outputs — covering guided decoding, prompt tuning, and unlikelihood training — for anyone who needs finer control over what an LLM generates than raw prompting provides.

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Indexed by a proprietary survey. Corrections welcome.