Get started
Author

Nipun Joshi

Observed name: Joshi, Nipun
Institution: Cornell University
Observed institution: Cornell University
OpenAlex ID: A5123475087
Can We Predict Your Next Move Without Breaking Your Privacy?
2026 · Arpita Soni, Sahil Tripathi, et al. · Lecture notes in computer science · 2
PDF
Do Clinical Question Answering Systems Really Need Specialised Medical Fine Tuning?
2026 · Sushant Kumar Ray, Gautam Siddharth Kashyap, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 1
PDF
Data-Driven Innovation in Supply Chains and Manufacturing
2026 · Parth Saxena, Srinivas R. Gottimukkala, et al. · Productivity Press eBooks
Securing Critical E-commerce Infrastructure: Unsupervised Learning and LLM-Enhanced Anomaly Detection for Web-Based Attacks
2026 · Nipun Joshi · Chapman & Hall/CRC eBooks
Revealing the Truth with ConLLM for Detecting Multi-Modal Deepfakes
2026 · Association for Computational Linguistics 2026, Azeez, Mohammad Anas, et al. · Underline Science Inc.
Do Clinical Question Answering Systems Really Need Specialised Medical Fine Tuning?
2026 · Association for Computational Linguistics 2026, Ali, Rafiq, et al. · Underline Science Inc.
Revealing the Truth with ConLLM for Detecting Multi-Modal Deepfakes
2026 · Kashyap, Gautam Siddharth, Joshi, Harsh, et al. · arXiv (Cornell University)
PDF
Do Clinical Question Answering Systems Really Need Specialised Medical Fine Tuning?
2026 · Ray, Sushant Kumar, Kashyap, Gautam Siddharth, et al. · arXiv (Cornell University)
PDF
Revealing the Truth with ConLLM for Detecting Multi-Modal Deepfakes
2026 · Gautam Siddharth Kashyap, Harsh Joshi, et al. · Findings of the Association for Computational Linguistics: EACL
PDF
A Comparative Study of Classical and Quantum Support Vector Machines for Multimodal Oral Cancer Detection
2025 · Nipun Joshi, Sanchit Baweja, et al. · IEEE ... International Conference on Data Mining workshops
Unsupervised Anomaly Detection for Web-Based Attacks in Microservices Architectures
2025 · Nipun Joshi · SSRN Electronic Journal
Works count: 11
Citation count: 3
H-index: 1
I10-index:
Year
Topic
Type