Narine Kokhlikyan

29 papers A* 6B 1Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CIMemories: A Compositional Benchmark for Contextual Integrity of Persistent Memory in LLMs. CoRR Niloofar Mireshghallah, Neal Mangaokar, Narine Kokhlikyan, Arman Zharmagambetov, Manzil Zaheer, Saeed Mahloujifar, Kamalika Chaudhuri
2025	J	`jnl`	Hallucination reduction with CASAL: Contrastive Activation Steering For Amortized Learning. CoRR Wannan Yang, Xinchi Qiu, Lei Yu, Yuchen Zhang, Oliver Aobo Yang, Narine Kokhlikyan, Nicola Cancedda, Diego Garcia-Olano
2025	J	`jnl`	How much do language models memorize? CoRR John X. Morris, Chawin Sitawarin, Chuan Guo, Narine Kokhlikyan, G. Edward Suh, Alexander M. Rush, Kamalika Chaudhuri, Saeed Mahloujifar
2025	J	`jnl`	Measuring Déjà vu Memorization Efficiently. CoRR Narine Kokhlikyan, Bargav Jayaraman, Florian Bordes, Chuan Guo, Kamalika Chaudhuri
2025	J	`jnl`	On Symmetries in Convolutional Weights. CoRR Bilal Alsallakh, Timothy Wroge, Vivek Miglani, Narine Kokhlikyan
2025	J	`jnl`	Privacy Blur: Quantifying Privacy and Utility for Image Data Release. CoRR Saeed Mahloujifar, Narine Kokhlikyan, Chuan Guo, Kamalika Chaudhuri
2025	J	`jnl`	RL Is a Hammer and LLMs Are Nails: A Simple Reinforcement Learning Recipe for Strong Prompt Injection. CoRR Yuxin Wen, Arman Zharmagambetov, Ivan Evtimov, Narine Kokhlikyan, Tom Goldstein, Kamalika Chaudhuri, Chuan Guo
2025	J	`jnl`	Z0-Inf: Zeroth Order Approximation for Data Influence. CoRR Narine Kokhlikyan, Kamalika Chaudhuri, Saeed Mahloujifar
2024	J	`jnl`	Explainable Interfaces for Rapid Gaze-Based Interactions in Mixed Reality. CoRR 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
2024	A*	`conf`	Measuring Dejavu Memorization Efficiently. NeurIPS Narine Kokhlikyan, Bargav Jayaraman, Florian Bordes, Chuan Guo, Kamalika Chaudhuri
2023	A*	`conf`	Error Discovery By Clustering Influence Embeddings. NeurIPS Fulton Wang, Julius Adebayo, Sarah Tan, Diego Garcia-Olano, Narine Kokhlikyan
2023	J	`jnl`	Error Discovery by Clustering Influence Embeddings. CoRR Fulton Wang, Julius Adebayo, Sarah Tan, Diego Garcia-Olano, Narine Kokhlikyan
2023	A*	`conf`	Mind the Pool: Convolutional Neural Networks Can Overfit Input Size. ICLR Bilal Alsallakh, David Yan, Narine Kokhlikyan, Vivek Miglani, Orion Reblitz-Richardson, Pamela Bhattacharya
2023	J	`jnl`	Using Captum to Explain Generative Language Models. CoRR Vivek Miglani, Oliver Aobo Yang, Aram H. Markosyan, Diego Garcia-Olano, Narine Kokhlikyan
2023	A*	`conf`	XAIR: A Framework of Explainable AI in Augmented Reality. CHI 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
2023	J	`jnl`	XAIR: A Framework of Explainable AI in Augmented Reality. CoRR 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
2022	J	`jnl`	A Tour of Visualization Techniques for Computer Vision Datasets. CoRR Bilal Alsallakh, Pamela Bhattacharya, Vanessa Feng, Narine Kokhlikyan, Orion Reblitz-Richardson, Rahul Rajan, David Yan
2022	J	`jnl`	Bias Mitigation Framework for Intersectional Subgroups in Neural Networks. CoRR Narine Kokhlikyan, Bilal Alsallakh, Fulton Wang, Vivek Miglani, Oliver Aobo Yang, David Adkins
2022	B	`conf`	Method cards for prescriptive machine-learning transparency. CAIN David Adkins, Bilal Alsallakh, Adeel Cheema, Narine Kokhlikyan, Emily McReynolds, Pushkar Mishra, Chavez Procope, Jeremy Sawruk, Erin Wang, Polina Zvyagina
2022	—	`conf`	Prescriptive and Descriptive Approaches to Machine-Learning Transparency. CHI Extended Abstracts David Adkins, Bilal Alsallakh, Adeel Cheema, Narine Kokhlikyan, Emily McReynolds, Pushkar Mishra, Chavez Procope, Jeremy Sawruk, Erin Wang, Polina Zvyagina
2022	J	`jnl`	Prescriptive and Descriptive Approaches to Machine-Learning Transparency. CoRR David Adkins, Bilal Alsallakh, Adeel Cheema, Narine Kokhlikyan, Emily McReynolds, Pushkar Mishra, Chavez Procope, Jeremy Sawruk, Erin Wang, Polina Zvyagina
2021	J	`jnl`	Fine-grained Interpretation and Causation Analysis in Deep NLP Models. CoRR Hassan Sajjad, Narine Kokhlikyan, Fahim Dalvi, Nadir Durrani
2021	J	`jnl`	Investigating sanity checks for saliency maps with image and text classification. CoRR Narine Kokhlikyan, Vivek Miglani, Bilal Alsallakh, Miguel Martin, Orion Reblitz-Richardson
2021	A*	`conf`	Mind the Pad - CNNs Can Develop Blind Spots. ICLR Bilal Alsallakh, Narine Kokhlikyan, Vivek Miglani, Jun Yuan, Orion Reblitz-Richardson
2020	A*	`conf`	Building Recommender Systems with PyTorch. KDD Dheevatsa Mudigere, Maxim Naumov, Joe Spisak, Geeta Chauhan, Narine Kokhlikyan, Amanpreet Singh, Vedanuj Goswami
2020	J	`jnl`	Captum: A unified and generic model interpretability library for PyTorch. CoRR Narine Kokhlikyan, Vivek Miglani, Miguel Martin, Edward Wang, Bilal Alsallakh, Jonathan Reynolds, Alexander Melnikov, Natalia Kliushkina, Carlos Araya, Siqi Yan, Orion Reblitz-Richardson
2020	J	`jnl`	Investigating Saturation Effects in Integrated Gradients. CoRR Vivek Miglani, Narine Kokhlikyan, Bilal Alsallakh, Miguel Martin, Orion Reblitz-Richardson
2020	J	`jnl`	Mind the Pad - CNNs can Develop Blind Spots. CoRR Bilal Alsallakh, Narine Kokhlikyan, Vivek Miglani, Jun Yuan, Orion Reblitz-Richardson
2013	—	`conf`	Measuring the Structural Importance through Rhetorical Structure Index. HLT-NAACL Narine Kokhlikyan, Alex Waibel, Yuqi Zhang, Joy Ying Zhang