TSTR: Target Similarity Tuning Meets the Real World. - Anirudh Khatry; Sumit Gulwani; Priyanshu Gupta; Vu Le 002; Mukul Singh; Ananya Singha; Gust Verbruggen (EMNLP (Findings), 2023)

Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs. - Ananya Singha; José Cambronero; Sumit Gulwani; Vu Le 002; Chris Parnin (CoRR, 2023)

Conversational Challenges in AI-Powered Data Science: Obstacles, Needs, and Design Opportunities. - Bhavya Chopra; Ananya Singha; Anna Fariha; Sumit Gulwani; Chris Parnin; Ashish Tiwari 001; Austin Z. Henley (CoRR, 2023)

TSTR: Target Similarity Tuning Meets the Real World. - Anirudh Khatry; Sumit Gulwani; Priyanshu Gupta; Vu Le 002; Ananya Singha; Mukul Singh; Gust Verbruggen (CoRR, 2023)

MetaReflection: Learning Instructions for Language Agents using Past Reflections. - Priyanshu Gupta; Shashank Kirtania; Ananya Singha; Sumit Gulwani; Arjun Radhakrishna; Gustavo Soares; Sherry Shi (EMNLP, 2024)

Semantically Aligned Question and Code Generation for Automated Insight Generation. - Ananya Singha; Bhavya Chopra; Anirudh Khatry; Sumit Gulwani; Austin Z. Henley; Vu Le 002; Chris Parnin; Mukul Singh; Gust Verbruggen (LLM4CODE@ICSE, 2024)

Challenges in Using Conversational AI for Data Science. - Bhavya Chopra; Ananya Singha; Anna Fariha; Sumit Gulwani; Chris Parnin; Ashish Tiwari 001; Austin Z. Henley (HILDA@SIGMOD, 2025)

TeCoFeS: Text Column Featurization using Semantic Analysis. - Ananya Singha; Mukul Singh; Ashish Tiwari 001; Sumit Gulwani; Vu Le 002; Chris Parnin (NAACL (Findings), 2025)

Ordered Semantically Diverse Sampling for Textual Data. - Ashish Tiwari 001; Mukul Singh; Ananya Singha; Arjun Radhakrishna (CoRR, 2025)

Benchmark Dataset Generation and Evaluation for Excel Formula Repair with LLMs. - Ananya Singha; Harshita Sahijwani; Walt Williams; Emmanuel Aboah Boateng; Nick Hausman; Miguel Di Luca; Keegan Choudhury; Chaya Binet; Vu Le; Tianwei Chen; Oryan Rokeah Chen; Sulaiman Vesal; et al. (CoRR, 2025)