Papers by Vishy Tirumalashetty

1 papers
SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback (2026.findings-eacl)

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Challenge: High-quality, complex question-answer pairs are pivotal for training and evaluating capable deep search agents.
Approach: They propose a pipeline that generates high-quality, difficulty-controlled deep search question-answer pairs for a given corpus and a target difficulty level.
Outcome: The proposed pipeline generates high-quality, difficulty-controlled deep search question-answer pairs for a given corpus and a target difficulty level.

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