Muhammad Bilal Zafar

68 papers A* 11A 10C 2Journal 36Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A computational mapping of global digital discourse on ChatGPT and the emergence of generative artificial intelligence. Discov. Artif. Intell. Muhammad Bilal Zafar
2026	—	`conf`	Do LLM hallucination detectors suffer from low-resource effect? EACL (Volume 1: Long Papers) Debtanu Datta, Mohan Kishore Chilukuri, Yash Kumar, Saptarshi Ghosh, Muhammad Bilal Zafar
2026	J	`jnl`	Do LLM hallucination detectors suffer from low-resource effect? CoRR Debtanu Datta, Mohan Kishore Chilukuri, Yash Kumar, Saptarshi Ghosh, Muhammad Bilal Zafar
2026	A*	`conf`	The Algorithmic Self-Portrait: Deconstructing Memory in ChatGPT. WWW Abhisek Dash, Soumi Das, Elisabeth Kirsten, Qinyuan Wu, Sai Keerthana Karnam, Krishna P. Gummadi, Thorsten Holz, Muhammad Bilal Zafar, Savvas Zannettou
2026	J	`jnl`	The Algorithmic Self-Portrait: Deconstructing Memory in ChatGPT. CoRR Abhisek Dash, Soumi Das, Elisabeth Kirsten, Qinyuan Wu, Sai Keerthana Karnam, Krishna P. Gummadi, Thorsten Holz, Muhammad Bilal Zafar, Savvas Zannettou
2025	A*	`conf`	Can LLMs Explain Themselves Counterfactually? EMNLP Zahra Dehghanighobadi, Asja Fischer, Muhammad Bilal Zafar
2025	J	`jnl`	Can LLMs Explain Themselves Counterfactually? CoRR Zahra Dehghanighobadi, Asja Fischer, Muhammad Bilal Zafar
2025	J	`jnl`	Characterizing Web Search in The Age of Generative AI. CoRR Elisabeth Kirsten, Jost Grosse Perdekamp, Mihir Upadhyay, Krishna P. Gummadi, Muhammad Bilal Zafar
2025	J	`jnl`	FinAI-BERT: A Transformer-Based Model for Sentence-Level Detection of AI Disclosures in Financial Reports. CoRR Muhammad Bilal Zafar
2025	—	`conf`	Position is Power: System Prompts as a Mechanism of Bias in Large Language Models (LLMs). FAccT Anna Neumann, Elisabeth Kirsten, Muhammad Bilal Zafar, Jatinder Singh
2025	J	`jnl`	Position is Power: System Prompts as a Mechanism of Bias in Large Language Models (LLMs). CoRR Anna Neumann, Elisabeth Kirsten, Muhammad Bilal Zafar, Jatinder Singh
2025	J	`jnl`	Rote Learning Considered Useful: Generalizing over Memorized Data in LLMs. CoRR Qinyuan Wu, Soumi Das, Mahsa Amani, Bishwamittra Ghosh, Mohammad Aflah Khan, Krishna P. Gummadi, Muhammad Bilal Zafar
2025	—	`conf`	The Impact of Inference Acceleration on Bias of LLMs. NAACL (Long Papers) Elisabeth Kirsten, Ivan Habernal, Vedant Nanda, Muhammad Bilal Zafar
2025	J	`jnl`	When Should We Orchestrate Multiple Agents? CoRR Umang Bhatt, Sanyam Kapoor, Mihir Upadhyay, Ilia Sucholutsky, Francesco Quinzan, Katherine M. Collins, Adrian Weller, Andrew Gordon Wilson, Muhammad Bilal Zafar
2024	J	`jnl`	Evaluating Large Language Models with fmeval. CoRR Pola Schwöbel, Luca Franceschi, Muhammad Bilal Zafar, Keerthan Vasist, Aman Malhotra, Tomer Shenhar, Pinal Tailor, Pinar Yilmaz, Michael Diamond, Michele Donini
2024	A*	`conf`	On Early Detection of Hallucinations in Factual Question Answering. KDD Ben Snyder, Marius Moisescu, Muhammad Bilal Zafar
2024	J	`jnl`	The Impact of Inference Acceleration Strategies on Bias of LLMs. CoRR Elisabeth Kirsten, Ivan Habernal, Vedant Nanda, Muhammad Bilal Zafar
2024	A*	`conf`	Understanding Developer-Analyzer Interactions in Code Reviews. ASE Martin Schäf, Berk Çirisci, Linghui Luo, Muhammad Numair Mansur, Omer Tripp, Daniel Sanchez, Qiang Zhou, Muhammad Bilal Zafar
2023	A	`conf`	Efficient fair PCA for fair representation learning. AISTATS Matthäus Kleindessner, Michele Donini, Chris Russell, Muhammad Bilal Zafar
2023	J	`jnl`	Efficient fair PCA for fair representation learning. CoRR Matthäus Kleindessner, Michele Donini, Chris Russell, Muhammad Bilal Zafar
2023	—	`conf`	Explaining Multiclass Classifiers with Categorical Values: A Case Study in Radiography. TML4H Luca Franceschi, Cemre Zor, Muhammad Bilal Zafar, Gianluca Detommaso, Cédric Archambeau, Tamas Madl, Michele Donini, Matthias W. Seeger
2023	A*	`conf`	Hands-on Tutorial: "Explanations in AI: Methods, Stakeholders and Pitfalls". KDD Mia C. Mayer, Muhammad Bilal Zafar, Luca Franceschi, Huzefa Rangwala
2023	J	`jnl`	On Early Detection of Hallucinations in Factual Question Answering. CoRR Ben Snyder, Marius Moisescu, Muhammad Bilal Zafar
2022	A*	`conf`	Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models. KDD David Nigenda, Zohar S. Karnin, Muhammad Bilal Zafar, Raghu Ramesha, Alan Tan, Michele Donini, Krishnaram Kenthapadi
2022	J	`jnl`	Diverse Counterfactual Explanations for Anomaly Detection in Time Series. CoRR Déborah Sulem, Michele Donini, Muhammad Bilal Zafar, Francois-Xavier Aubet, Jan Gasthaus, Tim Januschowski, Sanjiv Das, Krishnaram Kenthapadi, Cédric Archambeau
2022	A*	`conf`	Generating Distributional Adversarial Examples to Evade Statistical Detectors. ICML Yigitcan Kaya, Muhammad Bilal Zafar, Sergül Aydöre, Nathalie Rauschmayr, Krishnaram Kenthapadi
2022	A	`conf`	Pairwise Fairness for Ordinal Regression. AISTATS Matthäus Kleindessner, Samira Samadi, Muhammad Bilal Zafar, Krishnaram Kenthapadi, Chris Russell
2022	J	`jnl`	What You Like: Generating Explainable Topical Recommendations for Twitter Using Social Annotations. CoRR Parantapa Bhattacharya, Saptarshi Ghosh, Muhammad Bilal Zafar, Soumya K. Ghosh, Niloy Ganguly
2021	A*	`conf`	Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud. KDD Michaela Hardt, Xiaoguang Chen, Xiaoyi Cheng, Michele Donini, Jason Gelman, Satish Gollaprolu, John He, Pedro Larroy, Xinyu Liu, Nick McCarthy, Ashish Rathi, Scott Rees, Amaresh Ankit Siva, ErhYuan Tsai, Keerthan Vasist, Pinar Yilmaz, Muhammad Bilal Zafar, Sanjiv Das, Kevin Haas, Tyler Hill, Krishnaram Kenthapadi
2021	J	`jnl`	Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud. CoRR Michaela Hardt, Xiaoguang Chen, Xiaoyi Cheng, Michele Donini, Jason Gelman, Satish Gollaprolu, John He, Pedro Larroy, Xinyu Liu, Nick McCarthy, Ashish Rathi, Scott Rees, Amaresh Ankit Siva, ErhYuan Tsai, Keerthan Vasist, Pinar Yilmaz, Muhammad Bilal Zafar, Sanjiv Das, Kevin Haas, Tyler Hill, Krishnaram Kenthapadi
2021	J	`jnl`	Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models. CoRR David Nigenda, Zohar S. Karnin, Muhammad Bilal Zafar, Raghu Ramesha, Alan Tan, Michele Donini, Krishnaram Kenthapadi
2021	J	`jnl`	DIVINE: Diverse Influential Training Points for Data Visualization and Model Refinement. CoRR Umang Bhatt, Isabel Chien, Muhammad Bilal Zafar, Adrian Weller
2021	C	`conf`	Fair Bayesian Optimization. AIES Valerio Perrone, Michele Donini, Muhammad Bilal Zafar, Robin Schmucker, Krishnaram Kenthapadi, Cédric Archambeau
2021	J	`jnl`	Loss-Aversively Fair Classification. CoRR Junaid Ali, Muhammad Bilal Zafar, Adish Singla, Krishna P. Gummadi
2021	J	`jnl`	More Than Words: Towards Better Quality Interpretations of Text Classifiers. CoRR Muhammad Bilal Zafar, Philipp Schmidt, Michele Donini, Cédric Archambeau, Felix Biessmann, Sanjiv Ranjan Das, Krishnaram Kenthapadi
2021	J	`jnl`	Multi-objective Asynchronous Successive Halving. CoRR Robin Schmucker, Michele Donini, Muhammad Bilal Zafar, David Salinas, Cédric Archambeau
2021	—	`conf`	On the Lack of Robust Interpretability of Neural Text Classifiers. ACL/IJCNLP (Findings) Muhammad Bilal Zafar, Michele Donini, Dylan Slack, Cédric Archambeau, Sanjiv Das, Krishnaram Kenthapadi
2021	J	`jnl`	On the Lack of Robust Interpretability of Neural Text Classifiers. CoRR Muhammad Bilal Zafar, Michele Donini, Dylan Slack, Cédric Archambeau, Sanjiv Das, Krishnaram Kenthapadi
2021	J	`jnl`	Pairwise Fairness for Ordinal Regression. CoRR Matthäus Kleindessner, Samira Samadi, Muhammad Bilal Zafar, Krishnaram Kenthapadi, Chris Russell
2020	J	`jnl`	Unifying Model Explainability and Robustness via Machine-Checkable Concepts. CoRR Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Muhammad Bilal Zafar
2019	—	`—`	Discrimination in Algorithmic Decision Making: From Principles to Measures and Mechanisms. Muhammad Bilal Zafar
2019	J	`jnl`	Fairness Constraints: A Flexible Approach for Fair Classification. J. Mach. Learn. Res. Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
2019	C	`conf`	Loss-Aversively Fair Classification. AIES Junaid Ali, Muhammad Bilal Zafar, Adish Singla, Krishna P. Gummadi
2019	J	`jnl`	Search bias quantification: investigating political bias in social media and web search. Inf. Retr. J. Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias, Muhammad Bilal Zafar, Saptarshi Ghosh, Krishna P. Gummadi, Karrie Karahalios
2018	J	`jnl`	A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices. CoRR Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar
2018	A*	`conf`	A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices. KDD Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar
2018	A*	`conf`	Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning. AAAI Nina Grgic-Hlaca, Muhammad Bilal Zafar, Krishna P. Gummadi, Adrian Weller
2017	J	`jnl`	Characterizing Information Diets of Social Media Users. CoRR Juhi Kulshrestha, Muhammad Bilal Zafar, Lisette Espin Noboa, Krishna P. Gummadi, Saptarshi Ghosh
2017	A*	`conf`	Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment. WWW Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
2017	A	`conf`	Fairness Constraints: Mechanisms for Fair Classification. AISTATS Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
2017	—	`conf`	From Parity to Preference-based Notions of Fairness in Classification. NIPS Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi, Adrian Weller
2017	J	`jnl`	From Parity to Preference-based Notions of Fairness in Classification. CoRR Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi, Adrian Weller
2017	J	`jnl`	On Fairness, Diversity and Randomness in Algorithmic Decision Making. CoRR Nina Grgic-Hlaca, Muhammad Bilal Zafar, Krishna P. Gummadi, Adrian Weller
2017	A	`conf`	Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media. CSCW Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias, Muhammad Bilal Zafar, Saptarshi Ghosh, Krishna P. Gummadi, Karrie Karahalios
2017	J	`jnl`	Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media. CoRR Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias, Muhammad Bilal Zafar, Saptarshi Ghosh, Krishna P. Gummadi, Karrie Karahalios
2016	J	`jnl`	Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment. CoRR Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
2016	J	`jnl`	Listening to Whispers of Ripple: Linking Wallets and Deanonymizing Transactions in the Ripple Network. Proc. Priv. Enhancing Technol. Pedro Moreno-Sanchez, Muhammad Bilal Zafar, Aniket Kate
2016	A	`conf`	Message Impartiality in Social Media Discussions. ICWSM Muhammad Bilal Zafar, Krishna P. Gummadi, Cristian Danescu-Niculescu-Mizil
2016	A	`conf`	On the Wisdom of Experts vs. Crowds: Discovering Trustworthy Topical News in Microblogs. CSCW Muhammad Bilal Zafar, Parantapa Bhattacharya, Niloy Ganguly, Saptarshi Ghosh, Krishna P. Gummadi
2016	J	`jnl`	The Case for Temporal Transparency: Detecting Policy Change Events in Black-Box Decision Making Systems. CoRR Miguel Ferreira, Muhammad Bilal Zafar, Krishna P. Gummadi
2015	A	`conf`	Characterizing Information Diets of Social Media Users. ICWSM Juhi Kulshrestha, Muhammad Bilal Zafar, Lisette Espin Noboa, Krishna P. Gummadi, Saptarshi Ghosh
2015	J	`jnl`	Fairness Constraints: A Mechanism for Fair Classification. CoRR Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
2015	J	`jnl`	Sampling Content from Online Social Networks: Comparing Random vs. Expert Sampling of the Twitter Stream. ACM Trans. Web Muhammad Bilal Zafar, Parantapa Bhattacharya, Niloy Ganguly, Krishna P. Gummadi, Saptarshi Ghosh
2015	—	`conf`	Strength in Numbers: Robust Tamper Detection in Crowd Computations. COSN Bimal Viswanath, Muhammad Ahmad Bashir, Muhammad Bilal Zafar, Simon Bouget, Saikat Guha, Krishna P. Gummadi, Aniket Kate, Alan Mislove
2014	A	`conf`	Deep Twitter diving: exploring topical groups in microblogs at scale. CSCW Parantapa Bhattacharya, Saptarshi Ghosh, Juhi Kulshrestha, Mainack Mondal, Muhammad Bilal Zafar, Niloy Ganguly, Krishna P. Gummadi
2014	A	`conf`	Inferring user interests in the Twitter social network. RecSys Parantapa Bhattacharya, Muhammad Bilal Zafar, Niloy Ganguly, Saptarshi Ghosh, Krishna P. Gummadi
2013	A	`conf`	On sampling the wisdom of crowds: random vs. expert sampling of the twitter stream. CIKM Saptarshi Ghosh, Muhammad Bilal Zafar, Parantapa Bhattacharya, Naveen Kumar Sharma, Niloy Ganguly, P. Krishna Gummadi
2013	—	`conf`	SplitBuff: Improving the interaction of heterogeneous RTT flows on the Internet. ICC Shahida Jabeen, Muhammad Bilal Zafar, Ihsan Ayyub Qazi, Zartash Afzal Uzmi