Author

Aditya Bansal

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#machine learning Preprint Oct 2026

FALCON: A Model and Dataset Agnostic Framework for Synthetic Data Generation for NL2SQL Pairs

Relational databases are among the most widely deployed forms of structured knowledge, and natural language access to them requires grounding language onto schema entities and relations while handling the ambiguity inherent in how people phrase requests. Existing synthetic NL-to-SQL data generation methods largely igno...

Darian Lee, Shannon Rumsey, Jack St. Clair et al. · 0 citations

#natural language process... Preprint Sep 2026

REALMS: An AI-Assistant Conversational System for Real-Time Exact Audience Sizing over High-Dimensional Nested Profiles

Audience sizing is a critical component of digital marketing. It enables precise resource allocation, campaign planning, and performance optimization. Traditional approaches using skeleton audiences, sampling, or predictive modeling suffer from significant delays, estimation errors, and poor scalability over high-dimen...

Hai-Xu Ma, Aditya Bansal, Shubham Lohiya et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Skill-based Agentic Evaluation for Real-time Data Science Tasks

A framework for evaluating data-science agents on live, continuously updated data using executable ground truth and format-agnostic factoid scoring, which achieves a 29% improvement in the Matthews Correlation Coefficient and a 16% reduction in token consumption per test case.

Aniruddha Tamhane, Raghavendra Addanki, Ayushi Aggarwal et al. · 0 citations