Papers by Abhinav Painuli

1 papers
Rolling Out Data Quality Overnight, without losing the plot: A Multi-Agent System for Speech Data Quality Management (2026.findings-acl)

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Challenge: Using automation to improve quality management is expensive and resource-intensive for speech datasets.
Approach: They propose a natural language-driven agentic framework that compiles user requirements into dependency-aware DAG workflows over modular tools for audio, transcript, and metadata verification.
Outcome: The proposed framework achieves 80-90% agreement with expert verification while requiring less than 20% of the cost and time of manual QC.

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