Papers by Vishal Chowdhary

2 papers
Local Prompt Optimization (2025.naacl-short)

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Challenge: Existing prompt optimization methods optimize prompts globally, but they lack the correct words for a task.
Approach: They propose a local prompt optimization process that integrates with any general automatic prompt engineering method to optimize a prompt over a large vocabulary.
Outcome: The proposed method improves on Math Reasoning and BIG-bench Hard benchmarks and shows that it can converge to the optimal prompt faster than global methods.
GATE X-E : A Challenge Set for Gender-Fair Translations from Weakly-Gendered Languages (2024.findings-acl)

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Challenge: despite improvements in NMT quality and adoption, perpetuation of gender bias remains a concern.
Approach: They propose a translation gender rewriting solution built with GPT-4 and use it to evaluate it.
Outcome: The proposed translation gender rewriting solution is open source and can be used in English.

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