Elaborative Simplification: Content Addition and Explanation Generation in Text Simplification. - Neha Srikanth; Junyi Jessy Li (ACL/IJCNLP (Findings), 2021)

Partial-input baselines show that NLI models can ignore context, but they don't. - Neha Srikanth; Rachel Rudinger (NAACL-HLT, 2022)

Towards Pragmatic Awareness in Question Answering: A Case Study in Maternal and Infant Health. - Neha Srikanth; Rupak Sarkar; Rachel Rudinger; Jordan L. Boyd-Graber (CoRR, 2023)

Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering. - Neha Srikanth; Rupak Sarkar; Heran Mane; Elizabeth Aparicio; Quynh C. Nguyen; Rachel Rudinger; Jordan L. Boyd-Graber (NAACL-HLT, 2024)

How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability? - Neha Srikanth; Marine Carpuat; Rachel Rudinger (Trans. Assoc. Comput. Linguistics, 2024)

Understanding Common Ground Misalignment in Goal-Oriented Dialog: A Case-Study with Ubuntu Chat Logs. - Rupak Sarkar; Neha Srikanth; Taylor Pellegrin; Rachel Rudinger; Claire Bonial; Philip Resnik (ACL (1), 2025)

No Questions are Stupid, but some are Poorly Posed: Understanding Poorly-Posed Information-Seeking Questions. - Neha Srikanth; Rachel Rudinger; Jordan Lee Boyd-Graber (ACL (1), 2025)

NLI under the Microscope: What Atomic Hypothesis Decomposition Reveals. - Neha Srikanth; Rachel Rudinger (NAACL (Long Papers), 2025)

Understanding Common Ground Misalignment in Goal-Oriented Dialog: A Case-Study with Ubuntu Chat Logs. - Rupak Sarkar; Neha Srikanth; Taylor Hudson; Rachel Rudinger; Claire Bonial; Philip Resnik (CoRR, 2025)