Ehi Nosakhare

According to our database, Ehi Nosakhare authored at least 11 papers between 2020 and 2026.

Collaborative distances:

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

2026

SAPO: Secure Automated Prompt Optimization via Multi-Agent Collaboration.

Emmanuel Aboah Boateng, Zachary Johnson, Tian Xia, Sarah Zhang, Aidan Jay, Junyao Feng, Aditya Mate, Ehi Nosakhare

Proceedings of the ACM Conference on AI and Agentic Systems, 2026

2025

One Head, Many Models: Cross-Attention Routing for Cost-Aware LLM Selection.

Roshini Pulishetty, Mani Kishan Ghantasala, Keerthy Kaushik Dasoju, Niti Mangwani, Vishal Garimella, Aditya Mate, Somya Chatterjee, Yue Kang, Ehi Nosakhare, Sadid Hasan, Soundar Srinivasan

CoRR, September, 2025

Auto-Eval Judge: Towards a General Agentic Framework for Task Completion Evaluation.

Roshita Bhonsle, Rishav Dutta, Sneha Vavilapalli, Harsh Seth, Abubakarr Jaye, Yapei Chang, Mukund Rungta, Emmanuel Aboah Boateng, Sadid Hasan, Ehi Nosakhare, Soundar Srinivasan

CoRR, August, 2025

Concept Distillation from Strong to Weak Models via Hypotheses-to-Theories Prompting.

Emmanuel Aboah Boateng, Cassiano O. Becker, Nabiha Asghar, Kabir Walia, Ashwin Srinivasan, Ehi Nosakhare, Soundar Srinivasan, Victor Dibia

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

How to Fine-Tune Safely on a Budget: Model Adaptation Using Minimal Resources.

Anh C. Pham, Mihir Thalanki, Michael Sun, Aditya Chaloo, Ankita Gupta, Tian Xia, Aditya Mate, Ehi Nosakhare, Soundararajan Srinivasan

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

2022

Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem.

Yuki Asada, Victor Fu, Apurva Gandhi, Advitya Gemawat, Lihao Zhang, Vivek Gupta, Ehi Nosakhare, Dalitso Banda, Rathijit Sen, Matteo Interlandi

Proc. VLDB Endow., 2022

SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content.

Apurva Gandhi, Ryan Serrao, Biyi Fang, Gilbert Antonius, Jenna Hong, Tra My Nguyen, Sheng Yi, Ehi Nosakhare, Irene Shaffer, Soundararajan Srinivasan, Vivek Gupta

CoRR, 2022

Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem.

Yuki Asada, Victor Fu, Apurva Gandhi, Advitya Gemawat, Lihao Zhang, Dong He, Vivek Gupta, Ehi Nosakhare, Dalitso Banda, Rathijit Sen, Matteo Interlandi

CoRR, 2022

SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content.

Apurva Gandhi, Ryan Serrao, Biyi Fang, Gilbert Antonius, Jenna Hong, Tra My Nguyen, Sheng Yi, Ehi Nosakhare, Irene Shaffer, Soundararajan Srinivasan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

2021

Semi-Supervised Few-Shot Intent Classification and Slot Filling.

Samyadeep Basu, Karine lp Kiun Chong, Amr Sharaf, Alex Fischer, Vishal Rohra, Michael Amoake, Hazem El-Hammamy, Ehi Nosakhare, Vijay Ramani, Benjamin Han

CoRR, 2021

2020

Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation.

Olga Poppe, Tayo Amuneke, Dalitso Banda, Aritra De, Ari Green, Manon Knoertzer, Ehi Nosakhare, Karthik Rajendran, Deepak Shankargouda, Meina Wang, Alan Au, Carlo Curino, Qun Guo, Alekh Jindal, Ajay Kalhan, Morgan Oslake, Sonia Parchani, Vijay Ramani, Raj Sellappan, Saikat Sen, Sheetal Shrotri, Soundararajan Srinivasan, Ping Xia, Shize Xu, Alicia Yang, Yiwen Zhu

Proc. VLDB Endow., 2020