Get started
Author

Vinayshekhar Bannihatti Kumar

Observed names: Bannihatti Kumar, Vinayshekhar, Kumar, Vinayshekhar Bannihatti
OpenAlex ID: A5009671482
Dermatological disease detection using image processing and machine learning
2016 · Vinayshekhar Bannihatti Kumar, Sujay S Kumar, et al. · 154
Finding a Choice in a Haystack: Automatic Extraction of Opt-Out Statements from Privacy Policy Text
2020 · Vinayshekhar Bannihatti Kumar, Roger Iyengar, et al. · International World Wide Web Conference (WWW) · 69
PDF
WriterForcing: Generating more interesting story endings
2019 · Prakhar Gupta, Vinayshekhar Bannihatti Kumar, et al. · Workshop on Storytelling (StoryNLP) · 20
PDF
Privacy Adhering Machine Un-learning in NLP
2023 · Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, et al. · 13
PDF
Exploring the Reasons for Non-generalizability of KBQA systems
2023 · Sopan Khosla, Ritam Dutt, et al. · Workshop on Insights from Negative Results in NLP (Insights) · 5
PDF
Towards Cross-Domain Transferability of Text Generation Models for Legal Text
2022 · Vinayshekhar Bannihatti Kumar, Kasturi Bhattacharjee, et al. · Natural Legal Language Processing Workshop (NLLP) · 4
PDF
GrailQA++: A Challenging Zero-Shot Benchmark for Knowledge Base Question Answering
2023 · Ritam Dutt, Sopan Khosla, et al. · International Joint Conference on Natural Language Processing and Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL) · 3
PDF
Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations
2019 · Vinayshekhar Bannihatti Kumar, Ashwin Srinivasan, et al. · BioNLP Workshop and Shared Task (BioNLP) · 3
PDF
The Amazon Nova Family of Models: Technical Report and Model Card
2025 · AGI, Amazon, Langford, Aaron, et al. · arXiv (Cornell University) · 2
PDF
FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance
2025 · Mintong Kang, Vinayshekhar Bannihatti Kumar, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2
SupportNet: Neural Networks for Summary Generation and Key Segment Extraction from Technical Support Tickets
2021 · Vinayshekhar Bannihatti Kumar, Mohan Yarramsetty, et al. · Workshop on e-Commerce and NLP (ECNLP) · 2
PDF
Neural Breadcrumbs: Membership Inference Attacks on LLMs Through Hidden State and Attention Pattern Analysis
2025 · Makhija, Disha, Arivazhagan, Manoj Ghuhan, et al. · arXiv (Cornell University) · 1
PDF
Unsupervised Neural Stylistic Text Generation using Transfer learning and Adapters
2022 · Kumar, Vinayshekhar Bannihatti, Gangadharaiah, Rashmi, et al. · arXiv (Cornell University) · 1
PDF
Efficient Computation of Binomial Coefficients Using Splay Trees
2016 · Vinayshekhar Bannihatti Kumar · International Journal on Data Science and Technology · 1
PDF
Don't Mask the Environment: Observation Supervision Changes How Agents Explore Under RL
2026 · Zhang, Juzheng, Makhija, Disha, et al. · arXiv (Cornell University)
PDF
Probing the Prompt KV Cache: Where It Becomes Dispensable
2026 · Kumar, Vinayshekhar Bannihatti, Arivazhagan, Manoj Ghuhan, et al. · arXiv (Cornell University)
PDF
Syntax Without Semantics: Teaching Large Language Models to Code in an Unseen Language
2026 · Kumar, Vinayshekhar Bannihatti, Makhija, Disha, et al. · arXiv (Cornell University)
PDF
Neural Breadcrumbs: Membership Inference Attacks on LLMs Through Hidden State and Attention Pattern Analysis
2026 · Association for Computational Linguistics 2026, Arivazhagan, Manoj Ghuhan, et al. · Underline Science Inc.
When Facts Change: Probing LLMs on Evolving Knowledge with evolveQA
2026 · Nishanth Sridhar Nakshatri, Shamik Roy, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
When Users Are Happy but Agents Are Wrong: Multi-Dimensional Evaluation of Tool-Augmented Dialogue
2026 · Tanya Shourya, Yingfan Wang, et al. · Workshop on Generation, Evaluation and Metrics (GEM)
Neural Breadcrumbs: Membership Inference Attacks on LLMs Through Hidden State and Attention Pattern Analysis
2026 · Disha Makhija, Manoj Ghuhan Arivazhagan, et al. · Conference of the European Chapter of the Association for Computational Linguistics
PDF
FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance
2025 · Kang, Mintong, Kumar, Vinayshekhar Bannihatti, et al. · arXiv (Cornell University)
PDF
A Tale of Two Regulatory Regimes: Creation and Analysis of a Bilingual Privacy Policy Corpus
2022 · Siddhant Arora, Henry Hosseini, et al. · Language Resources and Evaluation Conference (LREC)
PDF
Are Abstractive Summarization Models truly ‘Abstractive’? An Empirical Study to Compare the two Forms of Summarization
2022 · Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah · Workshop on Generation, Evaluation and Metrics (GEM)
PDF
CRYPTANITE: A New Look to the World of Social Networks Using Deep Learning
2016 · Vinayshekhar Bannihatti Kumar, Tanisha Rajesh Baadkar, et al. · International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
Works count: 30
Citation count: 280
H-index: 5
I10-index: 4
Year
Topic
Type