AllegatorTrack: Combining and reporting results of truth discovery from multi-source data. - Dalia Attia Waguih; Naman Goel; Hossam M. Hammady; Laure Berti-Équille (ICDE, 2015)

Parameter Database : Data-centric Synchronization for Scalable Machine Learning. - Naman Goel; Divyakant Agrawal; Sanjay Chawla; Ahmed K. Elmagarmid (CoRR, 2015)

Non-Discriminatory Machine Learning Through Convex Fairness Criteria. - Naman Goel; Mohammad Yaghini; Boi Faltings (AAAI, 2018)

Deep Bayesian Trust : A Dominant Strategy and Fair Reward Mechanism for Crowdsourcing. - Naman Goel; Boi Faltings (CoRR, 2018)

Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd. - Naman Goel; Boi Faltings (AAAI, 2019)

Crowdsourcing with Fairness, Diversity and Budget Constraints. - Naman Goel; Boi Faltings (AIES, 2019)

Personalized Peer Truth Serum for Eliciting Multi-Attribute Personal Data. - Naman Goel; Boi Faltings (UAI, 2019)

Infochain: A Decentralized System for Truthful Information Elicitation. - Cyril van Schreven; Naman Goel; Boi Faltings (CoRR, 2019)

Peer-Prediction in the Presence of Outcome Dependent Lying Incentives. - Naman Goel; Aris Filos-Ratsikas; Boi Faltings (IJCAI, 2020)

Infochain: A Decentralized, Trustless and Transparent Oracle on Blockchain. - Naman Goel; Cyril van Schreven; Aris Filos-Ratsikas; Boi Faltings (IJCAI, 2020)

Tackling Peer-to-Peer Discrimination in the Sharing Economy. - Naman Goel; Maxime Rutagarama; Boi Faltings (WebSci, 2020)

Truthful, Transparent and Fair Data Collection Mechanisms. - Naman Goel (2020)

The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective. - Naman Goel; Alfonso Amayuelas; Amit Deshpande; Amit Sharma 007 (AAAI, 2021)

Data-Centric Factors in Algorithmic Fairness. - Nianyun Li; Naman Goel; Elliott Ash (AIES, 2022)

'You are you and the app. There's nobody else.': Building Worker-Designed Data Institutions within Platform Hegemony. - Jake M. L. Stein; Vidminas Vizgirda; Max Van Kleek; Reuben Binns; Jun Zhao 003; Rui Zhao 009; Naman Goel; George Chalhoub; Wael S. Albayaydh; Nigel Shadbolt (CHI, 2023)

Human-Guided Fair Classification for Natural Language Processing. - Florian E. Dorner; Momchil Peychev; Nikola Konstantinov; Naman Goel; Elliott Ash; Martin T. Vechev (ICLR, 2023)

WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts. - Elliott Ash; Naman Goel; Nianyun Li; Claudia Marangon; Peiyao Sun (NeurIPS, 2023)

Libertas: Privacy-Preserving Computation for Decentralised Personal Data Stores. - Rui Zhao 009; Naman Goel; Nitin Agrawal 002; Jun Zhao 003; Jake M. L. Stein; Ruben Verborgh; Reuben Binns; Tim Berners-Lee; Nigel Shadbolt (CoRR, 2023)

Decentralised, Scalable and Privacy-Preserving Synthetic Data Generation. - Vishal Ramesh; Rui Zhao 009; Naman Goel (CoRR, 2023)

On The Truthfulness of 'Surprisingly Likely' Responses of Large Language Models. - Naman Goel (CoRR, 2023)

Incentive Mechanism Design for Responsible Data Governance: A Large-scale Field Experiment. - Christina Timko; Malte Niederstadt; Naman Goel; Boi Faltings (ACM J. Data Inf. Qual., 2023)

Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback. - Maria Lerner; Florian E. Dorner; Elliott Ash; Naman Goel (ACL (1), 2024)

SocialGenPod: Privacy-Friendly Generative AI Social Web Applications with Decentralised Personal Data Stores. - Vidminas Vizgirda; Rui Zhao 009; Naman Goel (WWW (Companion Volume), 2024)

FairTargetSim: An Interactive Simulator for Understanding and Explaining the Fairness Effects of Target Variable Definition. - Dalia Gala; Milo Phillips-Brown; Naman Goel; Carinal Prunkl; Laura Alvarez Jubete; Medb Corcoran; Ray Eitel-Porter (CoRR, 2024)

Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback. - Emilia Agis Lerner; Florian E. Dorner; Elliott Ash; Naman Goel (CoRR, 2024)

A Post-Processing-Based Fair Federated Learning Framework. - Yi Zhou; Naman Goel (CoRR, 2025)

Semantica: Decentralized Search using a LLM-Guided Semantic Tree Overlay. - Petru Neague; Quinten Stokkink; Naman Goel; Johan Pouwelse (CoRR, 2025)