Vinayshekhar Bannihatti Kumar

According to our database, Vinayshekhar Bannihatti Kumar authored at least 17 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Probing the Prompt KV Cache: Where It Becomes Dispensable.

Vinayshekhar Bannihatti Kumar, Manoj Ghuhan Arivazhagan, Disha Makhija, Rashmi Gangadharaiah

CoRR, May, 2026

Syntax Without Semantics: Teaching Large Language Models to Code in an Unseen Language.

Vinayshekhar Bannihatti Kumar, Disha Makhija, Manoj Ghuhan Arivazhagan, Rashmi Gangadharaiah

CoRR, May, 2026

Neural Breadcrumbs: Membership Inference Attacks on LLMs Through Hidden State and Attention Pattern Analysis.

Disha Makhija, Manoj Ghuhan Arivazhagan, Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Multi-Faceted Evaluation of Tool-Augmented Dialogue Systems.

Zhaoyi Joey Hou, Tanya Shourya, Yingfan Wang, Shamik Roy, Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah

CoRR, October, 2025

When Facts Change: Probing LLMs on Evolving Knowledge with evolveQA.

Nishanth Sridhar Nakshatri, Shamik Roy, Manoj Ghuhan Arivazhagan, Hanhan Zhou, Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah

CoRR, October, 2025

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

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Panda: Performance Debugging for Databases using LLM Agents.

Vikramank Y. Singh, Kapil Vaidya, Vinayshekhar Bannihatti Kumar, Sopan Khosla, Balakrishnan Narayanaswamy, Rashmi Gangadharaiah, Tim Kraska

Proceedings of the 14th Conference on Innovative Data Systems Research, 2024

2023

Privacy Adhering Machine Un-learning in NLP.

Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, Dan Roth

Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

GrailQA++: A Challenging Zero-Shot Benchmark for Knowledge Base Question Answering.

Ritam Dutt, Sopan Khosla, Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

2022

Unsupervised Neural Stylistic Text Generation using Transfer learning and Adapters.

Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, Dan Roth

CoRR, 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, Shomir Wilson, Norman M. Sadeh

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Towards Cross-Domain Transferability of Text Generation Models for Legal Text.

Vinayshekhar Bannihatti Kumar, Kasturi Bhattacharjee, Rashmi Gangadharaiah

Proceedings of the Natural Legal Language Processing Workshop, 2022

An Empirical study to understand the Compositional Prowess of Neural Dialog Models.

Vinayshekhar Bannihatti Kumar, Vaibhav Kumar, Mukul Bhutani, Alexander Rudnicky

Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

2020

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

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019

WriterForcing: Generating more interesting story endings.

Prakhar Gupta, Vinayshekhar Bannihatti Kumar, Mukul Bhutani, Alan W. Black

CoRR, 2019

Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations.

Vinayshekhar Bannihatti Kumar, Ashwin Srinivasan, Aditi Chaudhary, James Route, Teruko Mitamura, Eric Nyberg

Proceedings of the 18th BioNLP Workshop and Shared Task, 2019

2016

CRYPTANITE: A New Look to the World of Social Networks Using Deep Learning.

Vinayshekhar Bannihatti Kumar, Tanisha Rajesh Baadkar, Vinay Joshi

Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016