Faiza Khan Khattak

Orcid: 0000-0002-9902-0583

According to our database1, Faiza Khan Khattak authored at least 19 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Mitigating Social Biases in Language Models through Unlearning.
CoRR, 2024

BiasKG: Adversarial Knowledge Graphs to Induce Bias in Large Language Models.
CoRR, 2024

The Impact of Unstated Norms in Bias Analysis of Language Models.
CoRR, 2024

Can Machine Unlearning Reduce Social Bias in Language Models?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2023
Interpretable Stereotype Identification through Reasoning.
CoRR, 2023

Can Instruction Fine-Tuned Language Models Identify Social Bias through Prompting?
CoRR, 2023

Soft-prompt Tuning for Large Language Models to Evaluate Bias.
CoRR, 2023

MLHOps: Machine Learning for Healthcare Operations.
CoRR, 2023

Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support.
CoRR, 2023

2022
Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support.
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.
CoRR, 2020

2019
A survey of word embeddings for clinical text.
J. Biomed. Informatics X, 2019

AutoScribe: Extracting Clinically Pertinent Information from Patient-Clinician Dialogues.
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.
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.
PhD thesis, 2017

2016
Toward a Robust Crowd-labeling Framework using Expert Evaluation and Pairwise Comparison.
CoRR, 2016

Toward a Robust and Universal Crowd-Labeling Framework.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2013
Robust Crowd Labeling Using Little Expertise.
Proceedings of the Discovery Science - 16th International Conference, 2013

2012
Improving Crowd Labeling through Expert Evaluation.
Proceedings of the Wisdom of the Crowd, 2012


  Loading...