Papers by Tejomay Kishor Padole

1 papers
CaRVE: Critiquing and Refining Visual Elaborations for Figurative Language Illustrations (2026.findings-acl)

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Challenge: Existing text-to-image frameworks for figurative illustration rely on proprietary models or human supervision to achieve adequate alignment.
Approach: They propose a critique-driven framework that uses VLM feedback to refine visual elaborations for figurative image generation.
Outcome: The proposed framework outperforms existing figurative image-to-text pipelines on human-supervised visual elaborations.

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