Shramona Chakraborty — accepted AI-conference papers

2026

From Natural Language to Executable ETL Flows: The IBM DataStage Assistant

Nitin Gupta, Thomas Gschwind, Shramona Chakraborty, Sameep Mehta, Tristan Tyler, Shreya Sisodia +1

AAAI 2026technical

Modern ETL (Extract, Transform, Load) tools offer graphical, no-code interfaces for workflow creation but still require users to manually identify transformation functions and configure their properties, which is time-consuming and demands prior expertise. We present the research and engineering fou

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2024

GraphQL Query Generation: A Large Training and Benchmarking Dataset

Manish Kesarwani, Sambit Ghosh, Nitin Gupta, Shramona Chakraborty, Renuka Sindhgatta, Sameep Mehta +2

EMNLP 2024industry

GraphQL is a powerful query language for APIs that allows clients to fetch precise data efficiently and flexibly, querying multiple resources with a single request. However, crafting complex GraphQL query operations can be challenging. Large Language Models (LLMs) offer an alternative by generating…

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