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ORCIDFaiza Khan Khattak
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2020 – today
- 2024
[c7]Omkar Dige, Diljot Arneja, Tsz Fung Yau, Qixuan Zhang, Mohammad Bolandraftar, Xiaodan Zhu, Faiza Khan Khattak:
Can Machine Unlearning Reduce Social Bias in Language Models? EMNLP (Industry Track) 2024: 954-969- [i10]Farnaz Kohankhaki, Jacob-Junqi Tian, David Emerson, Laleh Seyyed-Kalantari, Faiza Khan Khattak:
The Impact of Unstated Norms in Bias Analysis of Language Models. CoRR abs/2404.03471 (2024) - [i9]Chu Fei Luo, Ahmad Ghawanmeh, Xiaodan Zhu, Faiza Khan Khattak:
BiasKG: Adversarial Knowledge Graphs to Induce Bias in Large Language Models. CoRR abs/2405.04756 (2024) - [i8]Omkar Dige, Diljot Singh, Tsz Fung Yau, Qixuan Zhang, Borna Bolandraftar, Xiaodan Zhu, Faiza Khan Khattak:
Mitigating Social Biases in Language Models through Unlearning. CoRR abs/2406.13551 (2024) - 2023
- [i7]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:
Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support. CoRR abs/2302.03222 (2023) - [i6]Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz:
MLHOps: Machine Learning for Healthcare Operations. CoRR abs/2305.02474 (2023) - [i5]Jacob-Junqi Tian, David Emerson, Sevil Zanjani Miyandoab, Deval Pandya, Laleh Seyyed-Kalantari, Faiza Khan Khattak:
Soft-prompt Tuning for Large Language Models to Evaluate Bias. CoRR abs/2306.04735 (2023) - [i4]Omkar Dige, Jacob-Junqi Tian, David Emerson, Faiza Khan Khattak:
Can Instruction Fine-Tuned Language Models Identify Social Bias through Prompting? CoRR abs/2307.10472 (2023) - [i3]Jacob-Junqi Tian, Omkar Dige, David Emerson, Faiza Khan Khattak:
Interpretable Stereotype Identification through Reasoning. CoRR abs/2308.00071 (2023) - 2022
- [c6]Stephen Obadinma, Faiza Khan Khattak, Shirley Wang, Tania Sidhorn, Elaine Lau, Sean Robertson, Jingcheng Niu, Winnie Au, Alif Munim
, Karthik Raja K. Bhaskar:
Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support. EMNLP (Industry Track) 2022: 440-450 - 2020
- [i2]Paul Grouchy, Shobhit Jain, Michael Liu, Kuhan Wang, Max Tian, Nidhi Arora, Hillary Ngai, Faiza Khan Khattak, Elham Dolatabadi, Sedef Akinli Koçak:
An Experimental Evaluation of Transformer-based Language Models in the Biomedical Domain. CoRR abs/2012.15419 (2020)
2010 – 2019
- 2019
- [j1]Faiza Khan Khattak, Serena Jeblee, Chloé Pou-Prom, Mohamed Abdalla, Christopher Meaney, Frank Rudzicz:
A survey of word embeddings for clinical text. J. Biomed. Informatics X 4: 100057 (2019) - [c5]Serena Jeblee, Faiza Khan Khattak, Noah H. Crampton, Muhammad Mamdani, Frank Rudzicz:
Extracting relevant information from physician-patient dialogues for automated clinical note taking. LOUHI@EMNLP 2019: 65-74 - [c4]Faiza Khan Khattak, Serena Jeblee, Noah H. Crampton, Muhammad Mamdani, Frank Rudzicz:
AutoScribe: Extracting Clinically Pertinent Information from Patient-Clinician Dialogues. MedInfo 2019: 1512-1513 - 2017
- [b1]Faiza Khan Khattak:
Toward a Robust and Universal Crowd Labeling Framework. Columbia University, USA, 2017 - 2016
- [c3]Faiza Khan Khattak:
Toward a Robust and Universal Crowd-Labeling Framework. IJCAI 2016: 4006-4007 - [i1]Faiza Khan Khattak, Ansaf Salleb-Aouissi:
Toward a Robust Crowd-labeling Framework using Expert Evaluation and Pairwise Comparison. CoRR abs/1607.02174 (2016) - 2013
- [c2]Faiza Khan Khattak, Ansaf Salleb-Aouissi:
Robust Crowd Labeling Using Little Expertise. Discovery Science 2013: 94-109 - 2012
- [c1]Faiza Khan Khattak, Ansaf Salleb-Aouissi:
Improving Crowd Labeling through Expert Evaluation. AAAI Spring Symposium: Wisdom of the Crowd 2012
Coauthor Index
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