Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers. - Abhijeet Awasthi; Ashutosh Sathe; Sunita Sarawagi (EMNLP, 2022)

Benchmarking and Improving Text-to-SQL Generation under Ambiguity. - Adithya Bhaskar; Tushar Tomar; Ashutosh Sathe; Sunita Sarawagi (EMNLP, 2023)

MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks. - Sanchit Ahuja; Divyanshu Aggarwal; Varun Gumma; Ishaan Watts; Ashutosh Sathe; Millicent Ochieng; Rishav Hada; Prachi Jain; Maxamed Axmed; Kalika Bali; Sunayana Sitaram (CoRR, 2023)

MAPLE: Multilingual Evaluation of Parameter Efficient Finetuning of Large Language Models. - Divyanshu Aggarwal; Ashutosh Sathe; Ishaan Watts; Sunayana Sitaram (ACL (Findings), 2024)

Efficient Training of Language Models with Compact and Consistent Next Token Distributions. - Ashutosh Sathe; Sunita Sarawagi (ACL (Findings), 2024)

MAFIA: Multi-Adapter Fused Inclusive Language Models. - Prachi Jain; Ashutosh Sathe; Varun Gumma; Kabir Ahuja; Sunayana Sitaram (EACL (1), 2024)

A Unified Framework and Dataset for Assessing Societal Bias in Vision-Language Models. - Ashutosh Sathe; Prachi Jain; Sunayana Sitaram (EMNLP (Findings), 2024)

MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks. - Sanchit Ahuja; Divyanshu Aggarwal; Varun Gumma; Ishaan Watts; Ashutosh Sathe; Millicent Ochieng; Rishav Hada; Prachi Jain; Mohamed Ahmed; Kalika Bali; Sunayana Sitaram (NAACL-HLT, 2024)

MAPLE: Multilingual Evaluation of Parameter Efficient Finetuning of Large Language Models. - Divyanshu Aggarwal; Ashutosh Sathe; Sunayana Sitaram (CoRR, 2024)

A Unified Framework and Dataset for Assessing Gender Bias in Vision-Language Models. - Ashutosh Sathe; Prachi Jain; Sunayana Sitaram (CoRR, 2024)

Improving Self Consistency in LLMs through Probabilistic Tokenization. - Ashutosh Sathe; Divyanshu Aggarwal; Sunayana Sitaram (CoRR, 2024)

Exploring Pretraining via Active Forgetting for Improving Cross Lingual Transfer for Decoder Language Models. - Divyanshu Aggarwal; Ashutosh Sathe; Sunayana Sitaram (CoRR, 2024)

Improving Consistency in LLM Inference using Probabilistic Tokenization. - Ashutosh Sathe; Divyanshu Aggarwal; Sunayana Sitaram (NAACL (Findings), 2025)