Rinat Khaziev

According to our database, Rinat Khaziev authored at least 10 papers between 2018 and 2026.

Collaborative distances:

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

2026

ATOD: An Evaluation Framework and Benchmark for Agentic Task-Oriented Dialogue Systems.

Yifei Zhang, Hooshang Nayyeri, Rinat Khaziev, Emine Yilmaz, Gokhan Tur, Dilek Hakkani-Tür, Hari Thadakamalla

CoRR, January, 2026

2025

Regularization Through Reasoning: Systematic Improvements in Language Model Classification via Explanation-Enhanced Fine-Tuning.

Vivswan Shah, Randy Cogill, Hanwei Yue, Gopinath Chennupati, Rinat Khaziev

CoRR, November, 2025

Safe and Efficient In-Context Learning via Risk Control.

Andrea Wynn, Metod Jazbec, Charith Peris, Rinat Khaziev, Anqi Liu, Daniel Khashabi, Eric T. Nalisnick

CoRR, October, 2025

Constrained Entropic Unlearning: A Primal-Dual Framework for Large Language Models.

Taha Entesari, Arman Hatami, Rinat Khaziev, Anil Ramakrishna, Mahyar Fazlyab

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Significant ASR Error Detection for Conversational Voice Assistants.

John Harvill, Rinat Khaziev, Scarlett Li, Randy Cogill, Lidan Wang, Gopinath Chennupati, Hari Thadakamalla

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Performance and Failure Cause Estimation for Machine Learning Systems in the Wild.

Xiruo Liu, Furqan Khan, Yue Niu, Pradeep Natarajan, Rinat Khaziev, Salman Avestimehr, Prateek Singhal

Proceedings of the Computer Vision Systems: 14th International Conference, 2023

Self-Healing Through Error Detection, Attribution, and Retraining.

Ansel MacLaughlin, Anna Rumshisky, Rinat Khaziev, Anil Ramakrishna, Yuval Merhav, Rahul Gupta

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

FPI: Failure Point Isolation in Large-scale Conversational Assistants.

Rinat Khaziev, Usman Shahid, Tobias Röding, Rakesh Chada, Emir Kapanci, Pradeep Natarajan

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

2019

Recommendation or Discrimination?: Quantifying Distribution Parity in Information Retrieval Systems.

Rinat Khaziev, Bryce Casavant, Pearce Washabaugh, Amy A. Winecoff, Matthew Graham

CoRR, 2019

2018

hPIC: A scalable electrostatic Particle-in-Cell for Plasma-Material Interactions.

Rinat Khaziev, Davide Curreli

Comput. Phys. Commun., 2018