Extracting Biomedical Factual Knowledge Using Pretrained Language Model and Electronic Health Record Context. - Zonghai Yao; Yi Cao; Zhichao Yang 001; Vijeta Deshpande; Hong Yu 001 (AMIA, 2022)

Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale. - Vijeta Deshpande; Dan Pechi; Shree Thatte; Vladislav Lialin; Anna Rumshisky (ACL (Findings), 2023)

Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning. - Vladislav Lialin; Vijeta Deshpande; Anna Rumshisky (CoRR, 2023)

LocalTweets to LocalHealth: A Mental Health Surveillance Framework Based on Twitter Data. - Vijeta Deshpande; Minhwa Lee; Zonghai Yao; Zihao Zhang; Jason Brian Gibbons; Hong Yu 001 (LREC/COLING, 2024)

Emergent Abilities in Reduced-Scale Generative Language Models. - Sherin Muckatira; Vijeta Deshpande; Vladislav Lialin; Anna Rumshisky (NAACL-HLT (Findings), 2024)

Diverse, not Short: A Length-Controlled Self-Learning Framework for Improving Response Diversity of Language Models. - Vijeta Deshpande; Debasmita Ghose; John D. Patterson; Roger E. Beaty; Anna Rumshisky (CoRR, 2025)

A Penalty Goes a Long Way: Measuring Lexical Diversity in Synthetic Texts Under Prompt-Influenced Length Variations. - Vijeta Deshpande; Ishita Dasgupta 002; Uttaran Bhattacharya; Somdeb Sarkhel; Saayan Mitra; Anna Rumshisky (CoRR, 2025)