Narine Kokhlikyan

According to our database, Narine Kokhlikyan authored at least 26 papers between 2013 and 2025.

Collaborative distances:

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

2025

Privacy Blur: Quantifying Privacy and Utility for Image Data Release.

Saeed Mahloujifar, Narine Kokhlikyan, Chuan Guo, Kamalika Chaudhuri

CoRR, December, 2025

CIMemories: A Compositional Benchmark for Contextual Integrity of Persistent Memory in LLMs.

Niloofar Mireshghallah, Neal Mangaokar, Narine Kokhlikyan, Arman Zharmagambetov, Manzil Zaheer, Saeed Mahloujifar, Kamalika Chaudhuri

CoRR, November, 2025

Z0-Inf: Zeroth Order Approximation for Data Influence.

Narine Kokhlikyan, Kamalika Chaudhuri, Saeed Mahloujifar

CoRR, October, 2025

RL Is a Hammer and LLMs Are Nails: A Simple Reinforcement Learning Recipe for Strong Prompt Injection.

Yuxin Wen, Arman Zharmagambetov, Ivan Evtimov, Narine Kokhlikyan, Tom Goldstein, Kamalika Chaudhuri, Chuan Guo

CoRR, October, 2025

Hallucination reduction with CASAL: Contrastive Activation Steering For Amortized Learning.

Wannan Yang, Xinchi Qiu, Lei Yu, Yuchen Zhang, Oliver Aobo Yang, Narine Kokhlikyan, Nicola Cancedda, Diego Garcia-Olano

CoRR, October, 2025

How much do language models memorize?

John X. Morris, Chawin Sitawarin, Chuan Guo, Narine Kokhlikyan, G. Edward Suh, Alexander M. Rush, Kamalika Chaudhuri, Saeed Mahloujifar

CoRR, May, 2025

Measuring Déjà vu Memorization Efficiently.

Narine Kokhlikyan, Bargav Jayaraman, Florian Bordes, Chuan Guo, Kamalika Chaudhuri

CoRR, April, 2025

On Symmetries in Convolutional Weights.

Bilal Alsallakh, Timothy Wroge, Vivek Miglani, Narine Kokhlikyan

CoRR, March, 2025

2024

Explainable Interfaces for Rapid Gaze-Based Interactions in Mixed Reality.

Mengjie Yu, Dustin Harris, Ian Jones, Ting Zhang, Yue Liu, Naveen Sendhilnathan, Narine Kokhlikyan, Fulton Wang, Co Tran, Jordan L. Livingston, Krista E. Taylor, Zhenhong Hu, Mary A. Hood, Hrvoje Benko, Tanya R. Jonker

CoRR, 2024

Measuring Dejavu Memorization Efficiently.

Narine Kokhlikyan, Bargav Jayaraman, Florian Bordes, Chuan Guo, Kamalika Chaudhuri

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Using Captum to Explain Generative Language Models.

Vivek Miglani, Oliver Aobo Yang, Aram H. Markosyan, Diego Garcia-Olano, Narine Kokhlikyan

CoRR, 2023

XAIR: A Framework of Explainable AI in Augmented Reality.

Xuhai Xu, Mengjie Yu, Tanya R. Jonker, Kashyap Todi, Feiyu Lu, Xun Qian, João Marcelo Evangelista Belo, Tianyi Wang, Michelle Li, Aran Mun, Te-Yen Wu, Junxiao Shen, Ting Zhang, Narine Kokhlikyan, Fulton Wang, Paul Sorenson, Sophie Kahyun Kim, Hrvoje Benko

CoRR, 2023

Error Discovery By Clustering Influence Embeddings.

Fulton Wang, Julius Adebayo, Sarah Tan, Diego Garcia-Olano, Narine Kokhlikyan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mind the Pool: Convolutional Neural Networks Can Overfit Input Size.

Bilal Alsallakh, David Yan, Narine Kokhlikyan, Vivek Miglani, Orion Reblitz-Richardson, Pamela Bhattacharya

Proceedings of the Eleventh International Conference on Learning Representations, 2023

XAIR: A Framework of Explainable AI in Augmented Reality.

Xuhai Xu, Anna Yu, Tanya R. Jonker, Kashyap Todi, Feiyu Lu, Xun Qian, João Marcelo Evangelista Belo, Tianyi Wang, Michelle Li, Aran Mun, Te-Yen Wu, Junxiao Shen, Ting Zhang, Narine Kokhlikyan, Fulton Wang, Paul Sorenson, Sophie Kahyun Kim, Hrvoje Benko

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Bias Mitigation Framework for Intersectional Subgroups in Neural Networks.

Narine Kokhlikyan, Bilal Alsallakh, Fulton Wang, Vivek Miglani, Oliver Aobo Yang, David Adkins

CoRR, 2022

A Tour of Visualization Techniques for Computer Vision Datasets.

Bilal Alsallakh, Pamela Bhattacharya, Vanessa Feng, Narine Kokhlikyan, Orion Reblitz-Richardson, Rahul Rajan, David Yan

CoRR, 2022

Prescriptive and Descriptive Approaches to Machine-Learning Transparency.

David Adkins, Bilal Alsallakh, Adeel Cheema, Narine Kokhlikyan, Emily McReynolds, Pushkar Mishra, Chavez Procope, Jeremy Sawruk, Erin Wang, Polina Zvyagina

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Method cards for prescriptive machine-learning transparency.

David Adkins, Bilal Alsallakh, Adeel Cheema, Narine Kokhlikyan, Emily McReynolds, Pushkar Mishra, Chavez Procope, Jeremy Sawruk, Erin Wang, Polina Zvyagina

Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI, 2022

2021

Investigating sanity checks for saliency maps with image and text classification.

Narine Kokhlikyan, Vivek Miglani, Bilal Alsallakh, Miguel Martin, Orion Reblitz-Richardson

CoRR, 2021

Fine-grained Interpretation and Causation Analysis in Deep NLP Models.

Hassan Sajjad, Narine Kokhlikyan, Fahim Dalvi, Nadir Durrani

CoRR, 2021

Mind the Pad - CNNs Can Develop Blind Spots.

Bilal Alsallakh, Narine Kokhlikyan, Vivek Miglani, Jun Yuan, Orion Reblitz-Richardson

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Investigating Saturation Effects in Integrated Gradients.

Vivek Miglani, Narine Kokhlikyan, Bilal Alsallakh, Miguel Martin, Orion Reblitz-Richardson

CoRR, 2020

Captum: A unified and generic model interpretability library for PyTorch.

Narine Kokhlikyan, Vivek Miglani, Miguel Martin, Edward Wang, Bilal Alsallakh, Jonathan Reynolds, Alexander Melnikov, Natalia Kliushkina, Carlos Araya, Siqi Yan, Orion Reblitz-Richardson

CoRR, 2020

Building Recommender Systems with PyTorch.

Dheevatsa Mudigere, Maxim Naumov, Joe Spisak, Geeta Chauhan, Narine Kokhlikyan, Amanpreet Singh, Vedanuj Goswami

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2013

Measuring the Structural Importance through Rhetorical Structure Index.

Narine Kokhlikyan, Alex Waibel, Yuqi Zhang, Joy Ying Zhang

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013