CRYPTANITE: A New Look to the World of Social Networks Using Deep Learning. - Vinayshekhar Bannihatti Kumar; Tanisha Rajesh Baadkar; Vinay Joshi (SITIS, 2016)

Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations. - Vinayshekhar Bannihatti Kumar; Ashwin Srinivasan 002; Aditi Chaudhary; James Route; Teruko Mitamura; Eric Nyberg (BioNLP@ACL, 2019)

WriterForcing: Generating more interesting story endings. - Prakhar Gupta; Vinayshekhar Bannihatti Kumar; Mukul Bhutani; Alan W. Black (CoRR, 2019)

Finding a Choice in a Haystack: Automatic Extraction of Opt-Out Statements from Privacy Policy Text. - Vinayshekhar Bannihatti Kumar; Roger Iyengar; Namita Nisal; Yuanyuan Feng; Hana Habib; Peter Story; Sushain Cherivirala; Margaret Hagan; Lorrie Faith Cranor; Shomir Wilson; Florian Schaub; Norman M. Sadeh (WWW, 2020)

An Empirical study to understand the Compositional Prowess of Neural Dialog Models. - Vinayshekhar Bannihatti Kumar; Vaibhav Kumar; Mukul Bhutani; Alexander Rudnicky (Insights@ACL, 2022)

Towards Cross-Domain Transferability of Text Generation Models for Legal Text. - Vinayshekhar Bannihatti Kumar; Kasturi Bhattacharjee; Rashmi Gangadharaiah (NLLP@EMNLP, 2022)

A Tale of Two Regulatory Regimes: Creation and Analysis of a Bilingual Privacy Policy Corpus. - Siddhant Arora; Henry Hosseini; Christine Utz; Vinayshekhar Bannihatti Kumar; Tristan Dhellemmes; Abhilasha Ravichander; Peter Story; Jasmine Mangat; Rex Chen; Martin Degeling; Thomas B. Norton; Thomas Hupperich; et al. (LREC, 2022)

Unsupervised Neural Stylistic Text Generation using Transfer learning and Adapters. - Vinayshekhar Bannihatti Kumar; Rashmi Gangadharaiah; Dan Roth 001 (CoRR, 2022)

GrailQA++: A Challenging Zero-Shot Benchmark for Knowledge Base Question Answering. - Ritam Dutt; Sopan Khosla; Vinayshekhar Bannihatti Kumar; Rashmi Gangadharaiah (IJCNLP (1), 2023)

Privacy Adhering Machine Un-learning in NLP. - Vinayshekhar Bannihatti Kumar; Rashmi Gangadharaiah; Dan Roth 001 (IJCNLP (Findings), 2023)

Panda: Performance Debugging for Databases using LLM Agents. - Vikramank Y. Singh; Kapil Vaidya; Vinayshekhar Bannihatti Kumar; Sopan Khosla; Balakrishnan Narayanaswamy; Rashmi Gangadharaiah; Tim Kraska (CIDR, 2024)

FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance. - Mintong Kang; Vinayshekhar Bannihatti Kumar; Shamik Roy; Abhishek Kumar; Sopan Khosla; Balakrishnan Narayanaswamy; Rashmi Gangadharaiah (CoRR, 2025)