Vinayshekhar Bannihatti Kumar
13 papers · 2019–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (12) π Interdisciplinary Bridge π Conference Polyglot (5) π Academic Marathon (6) π Renaissance Researcher (5)
π§
Keyword Pioneer
π
Interdisciplinary Bridge
π
Conference Polyglot
(5)
π§¬
Topic Evolution
β‘
Prolific Year
(5)
β
The Questioner
π
Trend Setter
π
Century Club
(12)
Conferences
ACL (3)
EMNLP (3)
IJCNLP (3)
AACL (2)
EACL (2)
Top co-authors
Keywords
text generation
(4)
neural network
(3)
domain adaptation
(2)
text summarization
(2)
abstractive summarization
(2)
support ticket
(2)
attention mechanism
(1)
text classification
(1)
multi-task learning
(1)
fair generation
(1)
extractive summarization
(1)
domain knowledge
(1)
diffusion model
(1)
bias mitigation
(1)
hidden state analysis
(1)
data augmentation
(1)
privacy auditing
(1)
medical domain
(1)
language model
(1)
natural language inference
(1)
Papers
Neural Breadcrumbs: Membership Inference Attacks on LLMs Through Hidden State and Attention Pattern Analysis
EACL 2026
FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance
EMNLP 2025
GrailQA++: A Challenging Zero-Shot Benchmark for Knowledge Base Question Answering
AACL 2023
Privacy Adhering Machine Un-learning in NLP
AACL 2023
Exploring the Reasons for Non-generalizability of KBQA systems
EACL 2023
GrailQA++: A Challenging Zero-Shot Benchmark for Knowledge Base Question Answering
IJCNLP 2023
Privacy Adhering Machine Un-learning in NLP
IJCNLP 2023
Towards Cross-Domain Transferability of Text Generation Models for Legal Text
EMNLP 2022
Are Abstractive Summarization Models truly βAbstractiveβ? An Empirical Study to Compare the two Forms of Summarization
EMNLP 2022
SupportNet: Neural Networks for Summary Generation and Key Segment Extraction from Technical Support Tickets
IJCNLP 2021
SupportNet: Neural Networks for Summary Generation and Key Segment Extraction from Technical Support Tickets
ACL 2021
WriterForcing: Generating more interesting story endings
ACL 2019
Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations
ACL 2019