Faiza Khan Khattak

According to our database, Faiza Khan Khattak authored at least 22 papers between 2012 and 2026.

Collaborative distances:

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

2026

Template-Based Probes Are Imperfect Lenses for Counterfactual Bias Evaluation in LLMs.

Farnaz Kohankhaki, David Emerson, Jacob-Junqi Tian, Laleh Seyyed-Kalantari, Faiza Khan Khattak

Trans. Mach. Learn. Res., 2026

2025

MLHOps: Machine Learning Health Operations.

Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Chloé Pou-Prom, Sedef Akinli Koçak, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz

IEEE Access, 2025

Dialectic Preference Bias in Large Language Models.

Muhammad Furquan Hassan, Faiza Khan Khattak, Laleh Seyyed-Kalantari

Proceedings of the 2025 AAAI Spring Symposium Series, 2025

2024

Mitigating Social Biases in Language Models through Unlearning.

Omkar Dige, Diljot Singh, Tsz Fung Yau, Qixuan Zhang, Borna Bolandraftar, Xiaodan Zhu, Faiza Khan Khattak

CoRR, 2024

BiasKG: Adversarial Knowledge Graphs to Induce Bias in Large Language Models.

Chu Fei Luo, Ahmad Ghawanmeh, Xiaodan Zhu, Faiza Khan Khattak

CoRR, 2024

The Impact of Unstated Norms in Bias Analysis of Language Models.

Farnaz Kohankhaki, Jacob-Junqi Tian, David Emerson, Laleh Seyyed-Kalantari, Faiza Khan Khattak

CoRR, 2024

Can Machine Unlearning Reduce Social Bias in Language Models?

Omkar Dige, Diljot Arneja, Tsz Fung Yau, Qixuan Zhang, Mohammad Bolandraftar, Xiaodan Zhu, Faiza Khan Khattak

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2023

Interpretable Stereotype Identification through Reasoning.

Jacob-Junqi Tian, Omkar Dige, David Emerson, Faiza Khan Khattak

CoRR, 2023

Can Instruction Fine-Tuned Language Models Identify Social Bias through Prompting?

Omkar Dige, Jacob-Junqi Tian, David Emerson, Faiza Khan Khattak

CoRR, 2023

Soft-prompt Tuning for Large Language Models to Evaluate Bias.

Jacob-Junqi Tian, David Emerson, Sevil Zanjani Miyandoab, Deval Pandya, Laleh Seyyed-Kalantari, Faiza Khan Khattak

CoRR, 2023

MLHOps: Machine Learning for Healthcare Operations.

Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz

CoRR, 2023

Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support.

Stephen Obadinma, Faiza Khan Khattak, Shirley Wang, Tania Sidhom, Elaine Lau, Sean Robertson, Jingcheng Niu, Winnie Au, Alif Munim, Karthik Raja K. Bhaskar, Bencheng Wei, Iris Ren, Waqar Muhammad, Erin Li, Bukola Ishola, Michael Wang, Griffin Tanner, Yu-Jia Shiah, Sean X. Zhang, Kwesi P. Apponsah, Kanishk Patel, Jaswinder Narain, Deval Pandya, Xiaodan Zhu, Frank Rudzicz, Elham Dolatabadi

CoRR, 2023

2022

Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support.

Stephen Obadinma, Faiza Khan Khattak, Shirley Wang, Tania Sidhorn, Elaine Lau, Sean Robertson, Jingcheng Niu, Winnie Au, Alif Munim, Karthik Raja K. Bhaskar

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

2020

An Experimental Evaluation of Transformer-based Language Models in the Biomedical Domain.

Paul Grouchy, Shobhit Jain, Michael Liu, Kuhan Wang, Max Tian, Nidhi Arora, Hillary Ngai, Faiza Khan Khattak, Elham Dolatabadi, Sedef Akinli Koçak

CoRR, 2020

2019

A survey of word embeddings for clinical text.

Faiza Khan Khattak, Serena Jeblee, Chloé Pou-Prom, Mohamed Abdalla, Christopher Meaney, Frank Rudzicz

J. Biomed. Informatics X, 2019

AutoScribe: Extracting Clinically Pertinent Information from Patient-Clinician Dialogues.

Faiza Khan Khattak, Serena Jeblee, Noah H. Crampton, Muhammad Mamdani, Frank Rudzicz

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Extracting relevant information from physician-patient dialogues for automated clinical note taking.

Serena Jeblee, Faiza Khan Khattak, Noah H. Crampton, Muhammad Mamdani, Frank Rudzicz

Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis LOUHI@EMNLP 2019, 2019

2017

Toward a Robust and Universal Crowd Labeling Framework.

Faiza Khan Khattak

PhD thesis, 2017

2016

Toward a Robust Crowd-labeling Framework using Expert Evaluation and Pairwise Comparison.

Faiza Khan Khattak, Ansaf Salleb-Aouissi

CoRR, 2016

Toward a Robust and Universal Crowd-Labeling Framework.

Faiza Khan Khattak

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2013

Robust Crowd Labeling Using Little Expertise.

Faiza Khan Khattak, Ansaf Salleb-Aouissi

Proceedings of the Discovery Science - 16th International Conference, 2013

2012

Improving Crowd Labeling through Expert Evaluation.

Faiza Khan Khattak, Ansaf Salleb-Aouissi

Proceedings of the Wisdom of the Crowd, 2012