Papers by Akhila Yesantarao Venkata

1 papers
SCULPT: Systematic Tuning of Long Prompts (2025.acl-long)

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Challenge: Existing methods for prompt optimization struggle with longer, more complex ones, often risking information loss and being sensitive to small perturbations.
Approach: They propose a framework that treats prompt optimization as a hierarchical tree refinement problem and uses a Critic-Actor framework to generate reflections and apply actions to refine the prompt.
Outcome: The proposed framework produces more stable and interpretable prompt modifications, ensuring better generalization across tasks.

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