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Li and Liang: prefix tuning for language generation

Kept model parameters frozen while learning task-specific continuous prefixes that later tokens can attend to during generation.

What is recorded here?

Kept model parameters frozen while learning task-specific continuous prefixes that later tokens can attend to during generation.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Experiments concern table-to-text generation and summarization. The method is separate from discrete prompting, input-only soft prompt tuning and low-rank weight updates.

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People and systems

Xiang Lisa Li; Percy Liang

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

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English catalogue narrative

Li and Liang: prefix tuning for language generation

Kept model parameters frozen while learning task-specific continuous prefixes that later tokens can attend to during generation.

Scientific scope

Experiments concern table-to-text generation and summarization. The method is separate from discrete prompting, input-only soft prompt tuning and low-rank weight updates.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Xiang Lisa Li; Percy Liang

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources