Improving Crowd Labeling through Expert Evaluation. - Faiza Khan Khattak; Ansaf Salleb-Aouissi (AAAI Spring Symposium: Wisdom of the Crowd, 2012)

Robust Crowd Labeling Using Little Expertise. - Faiza Khan Khattak; Ansaf Salleb-Aouissi (Discovery Science, 2013)

Toward a Robust and Universal Crowd-Labeling Framework. - Faiza Khan Khattak (IJCAI, 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 (2017)

Extracting relevant information from physician-patient dialogues for automated clinical note taking. - Serena Jeblee; Faiza Khan Khattak; Noah H. Crampton; Muhammad Mamdani; Frank Rudzicz (LOUHI@EMNLP, 2019)

AutoScribe: Extracting Clinically Pertinent Information from Patient-Clinician Dialogues. - Faiza Khan Khattak; Serena Jeblee; Noah H. Crampton; Muhammad Mamdani; Frank Rudzicz (MedInfo, 2019)

A survey of word embeddings for clinical text. - Faiza Khan Khattak; Serena Jeblee; Chloé Pou-Prom; Mohamed Abdalla 001; Christopher Meaney; Frank Rudzicz (J. Biomed. Informatics X, 2019)

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)

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 (EMNLP (Industry Track), 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 Sidhom; Elaine Lau; Sean Robertson; Jingcheng Niu; Winnie Au; Alif Munim; Karthik Raja K. Bhaskar; Bencheng Wei; Iris Ren; et al. (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)

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)

Can Instruction Fine-Tuned Language Models Identify Social Bias through Prompting? - Omkar Dige; Jacob-Junqi Tian; David Emerson; Faiza Khan Khattak (CoRR, 2023)

Interpretable Stereotype Identification through Reasoning. - Jacob-Junqi Tian; Omkar Dige; David Emerson; Faiza Khan Khattak (CoRR, 2023)

Can Machine Unlearning Reduce Social Bias in Language Models? - Omkar Dige; Diljot Arneja; Tsz Fung Yau; Qixuan Zhang; Mohammad Bolandraftar; Xiaodan Zhu 001; Faiza Khan Khattak (EMNLP (Industry Track), 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)

BiasKG: Adversarial Knowledge Graphs to Induce Bias in Large Language Models. - Chu Fei Luo; Ahmad Ghawanmeh; Xiaodan Zhu 001; Faiza Khan Khattak (CoRR, 2024)

Mitigating Social Biases in Language Models through Unlearning. - Omkar Dige; Diljot Singh; Tsz Fung Yau; Qixuan Zhang; Borna Bolandraftar; Xiaodan Zhu 001; Faiza Khan Khattak (CoRR, 2024)

Dialectic Preference Bias in Large Language Models. - Muhammad Furquan Hassan; Faiza Khan Khattak; Laleh Seyyed-Kalantari (AAAI Spring Symposia, 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)