Naman Goel

40 papers A* 11A 1C 3Journal 20Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Auditing Preferences for Brands and Cultures in LLMs.
CoRR
Jasmine Rienecker, Katarina Mpofu, Naman Goel, Siddhartha Datta, Jun Zhao, Oscar Danielsson, Fredrik Thorsen
2026 A* conf
Causal Pre-training Under the Fairness Lens: An Empirical Study of TabPFN.
WWW
Qinyi Liu, Mohammad Khalil, Naman Goel
2026 J jnl
Causal Pre-training Under the Fairness Lens: An Empirical Study of TabPFN.
CoRR
Qinyi Liu, Mohammad Khalil, Naman Goel
2025 J jnl
A Post-Processing-Based Fair Federated Learning Framework.
CoRR
Yi Zhou, Naman Goel
2025 J jnl
Can Vibe Coding Beat Graduate CS Students? An LLM vs. Human Coding Tournament on Market-driven Strategic Planning.
CoRR
Panayiotis Danassis, Naman Goel
2025 A* conf
Fairness-Aware Interactive Target Variable Definition.
IJCAI
Dalia Gala, Milo Phillips-Brown, Naman Goel, Carina Prunkl, Laura Alvarez Jubete, Medb Corcoran, Ray Eitel-Porter
2025 J jnl
Libertas: Privacy-Preserving Collaborative Computation for Decentralised Personal Data Stores.
Proc. ACM Hum. Comput. Interact.
Rui Zhao, Naman Goel, Nitin Agrawal, Jun Zhao, Jake M. L. Stein, Wael S. Albayaydh, Ruben Verborgh, Reuben Binns, Tim Berners-Lee, Nigel Shadbolt
2025 — conf
On the Truthfulness of Surprisingly Likely Responses of Large Language Models.
CI
Naman Goel
2025 J jnl
Semantica: Decentralized Search using a LLM-Guided Semantic Tree Overlay.
CoRR
Petru Neague, Quinten Stokkink, Naman Goel, Johan Pouwelse
2024 J jnl
FairTargetSim: An Interactive Simulator for Understanding and Explaining the Fairness Effects of Target Variable Definition.
CoRR
Dalia Gala, Milo Phillips-Brown, Naman Goel, Carina Prunkl, Laura Alvarez Jubete, Medb Corcoran, Ray Eitel-Porter
2024 — conf
SocialGenPod: Privacy-Friendly Generative AI Social Web Applications with Decentralised Personal Data Stores.
WWW (Companion Volume)
Vidminas Vizgirda, Rui Zhao, Naman Goel
2024 J jnl
SocialGenPod: Privacy-Friendly Generative AI Social Web Applications with Decentralised Personal Data Stores.
CoRR
Vidminas Vizgirda, Rui Zhao, Naman Goel
2024 — conf
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback.
ACL (1)
Maria Lerner, Florian E. Dorner, Elliott Ash, Naman Goel
2024 J jnl
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback.
CoRR
Emilia Agis Lerner, Florian E. Dorner, Elliott Ash, Naman Goel
2023 A* conf
'You are you and the app. There's nobody else.': Building Worker-Designed Data Institutions within Platform Hegemony.
CHI
Jake M. L. Stein, Vidminas Vizgirda, Max Van Kleek, Reuben Binns, Jun Zhao, Rui Zhao, Naman Goel, George Chalhoub, Wael S. Albayaydh, Nigel Shadbolt
2023 J jnl
Decentralised, Scalable and Privacy-Preserving Synthetic Data Generation.
CoRR
Vishal Ramesh, Rui Zhao, Naman Goel
2023 A* conf
Human-Guided Fair Classification for Natural Language Processing.
ICLR
Florian E. Dorner, Momchil Peychev, Nikola Konstantinov, Naman Goel, Elliott Ash, Martin T. Vechev
2023 J jnl
Incentive Mechanism Design for Responsible Data Governance: A Large-scale Field Experiment.
ACM J. Data Inf. Qual.
Christina Timko, Malte Niederstadt, Naman Goel, Boi Faltings
2023 J jnl
Libertas: Privacy-Preserving Computation for Decentralised Personal Data Stores.
CoRR
Rui Zhao, Naman Goel, Nitin Agrawal, Jun Zhao, Jake M. L. Stein, Ruben Verborgh, Reuben Binns, Tim Berners-Lee, Nigel Shadbolt
2023 J jnl
On The Truthfulness of 'Surprisingly Likely' Responses of Large Language Models.
CoRR
Naman Goel
2023 A* conf
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts.
NeurIPS
Elliott Ash, Naman Goel, Nianyun Li, Claudia Marangon, Peiyao Sun
2023 J jnl
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts.
CoRR
Elliott Ash, Naman Goel, Nianyun Li, Claudia Marangon, Peiyao Sun
2022 C conf
Data-Centric Factors in Algorithmic Fairness.
AIES
Nianyun Li, Naman Goel, Elliott Ash
2022 J jnl
Human-Guided Fair Classification for Natural Language Processing.
CoRR
Florian E. Dorner, Momchil Peychev, Nikola Konstantinov, Naman Goel, Elliott Ash, Martin T. Vechev
2021 A* conf
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective.
AAAI
Naman Goel, Alfonso Amayuelas, Amit Deshpande, Amit Sharma
2020 A* conf
Infochain: A Decentralized, Trustless and Transparent Oracle on Blockchain.
IJCAI
Naman Goel, Cyril van Schreven, Aris Filos-Ratsikas, Boi Faltings
2020 A* conf
Peer-Prediction in the Presence of Outcome Dependent Lying Incentives.
IJCAI
Naman Goel, Aris Filos-Ratsikas, Boi Faltings
2020 — conf
Tackling Peer-to-Peer Discrimination in the Sharing Economy.
WebSci
Naman Goel, Maxime Rutagarama, Boi Faltings
2020 J jnl
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective.
CoRR
Naman Goel, Alfonso Amayuelas, Amit Deshpande, Amit Sharma
2020 — —
Truthful, Transparent and Fair Data Collection Mechanisms.
Naman Goel
2019 C conf
Crowdsourcing with Fairness, Diversity and Budget Constraints.
AIES
Naman Goel, Boi Faltings
2019 A* conf
Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd.
AAAI
Naman Goel, Boi Faltings
2019 J jnl
Infochain: A Decentralized System for Truthful Information Elicitation.
CoRR
Cyril van Schreven, Naman Goel, Boi Faltings
2019 A conf
Personalized Peer Truth Serum for Eliciting Multi-Attribute Personal Data.
UAI
Naman Goel, Boi Faltings
2018 J jnl
Crowdsourcing with Fairness, Diversity and Budget Constraints.
CoRR
Naman Goel, Boi Faltings
2018 J jnl
Deep Bayesian Trust : A Dominant Strategy and Fair Reward Mechanism for Crowdsourcing.
CoRR
Naman Goel, Boi Faltings
2018 A* conf
Non-Discriminatory Machine Learning Through Convex Fairness Criteria.
AAAI
Naman Goel, Mohammad Yaghini, Boi Faltings
2018 C conf
Non-Discriminatory Machine Learning through Convex Fairness Criteria.
AIES
Naman Goel, Mohammad Yaghini, Boi Faltings
2015 A* conf
AllegatorTrack: Combining and reporting results of truth discovery from multi-source data.
ICDE
Dalia Attia Waguih, Naman Goel, Hossam M. Hammady, Laure Berti-Équille
2015 J jnl
Parameter Database : Data-centric Synchronization for Scalable Machine Learning.
CoRR
Naman Goel, Divyakant Agrawal, Sanjay Chawla, Ahmed K. Elmagarmid