Papers with State-based methods

1 papers
State-offset Tuning: State-based Parameter-Efficient Fine-Tuning for State Space Models (2025.acl-short)

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Challenge: State Space Models (SSMs) have emerged as efficient alternatives to Transformers, but their application to SSMs remains unexplored.
Approach: They propose a state-based PEFT method that adjusts state directly instead of using external prompts.
Outcome: The proposed method is based on state-offset tuning, which directly affects state at every timestep.

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