Ninad Kulkarni

According to our database, Ninad Kulkarni authored at least 9 papers between 2013 and 2025.

Collaborative distances:

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

2025

TaeBench: Improving Quality of Toxic Adversarial Examples.

Xuan Zhu, Dmitriy Bespalov, Liwen You, Ninad Kulkarni, Yanjun Qi

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Graph of Attacks with Pruning: Optimizing Stealthy Jailbreak Prompt Generation for Enhanced LLM Content Moderation.

Daniel Schwartz, Dmitriy Bespalov, Zhe Wang, Ninad Kulkarni, Yanjun Qi

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

Agent vs. Agent: Automated Data Generation and Red-Teaming for Custom Agentic Workflows.

Ninad Kulkarni, Xian Wu, Siddharth Varia, Dmitriy Bespalov

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

IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs.

Aosong Feng, Balasubramaniam Srinivasan, Yun Zhou, Zhichao Xu, Kang Zhou, Sheng Guan, Yueyan Chen, Xian Wu, Ninad Kulkarni, Yi Zhang, Zhengyuan Shen, Dmitriy Bespalov, Soumya Smruti Mishra, Yifei Teng, Darren Yow-Bang Wang, Haibo Ding, Lin Lee Cheong

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

2024

Less is More for Improving Automatic Evaluation of Factual Consistency.

Tong Wang, Ninad Kulkarni, Yanjun Qi

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

2022

Anomaly Detection for Spatiotemporal Data in Action.

Guang Yang, Ninad Kulkarni, Paavani Dua, Dipika Khullar, Alex Anto Chirayath

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2020

COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature.

Colby Wise, Vassilis N. Ioannidis, Miguel Romero Calvo, Xiang Song, George Price, Ninad Kulkarni, Ryan Brand, Parminder Bhatia, George Karypis

CoRR, 2020

2018

Constrained cohort intelligence using static and dynamic penalty function approach for mechanical components design.

Omkar Kulkarni, Ninad Kulkarni, Anand J. Kulkarni, Ganesh Kakandikar

Int. J. Parallel Emergent Distributed Syst., 2018

2013

Autonomous Robot Navigation: Path Planning on a Detail-Preserving Reduced-Complexity Representation of 3D Point Clouds.

Rohit Sant, Ninad Kulkarni, Ainesh Bakshi, Salil Kapur, Kratarth Goel

Proceedings of the Computer Vision Systems - 9th International Conference, 2013