Rahul Nair

According to our database, Rahul Nair authored at least 31 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CoFrGeNet: Continued Fraction Architectures for Language Generation.

Amit Dhurandhar, Vijil Chenthamarakshan, Dennis Wei, Tejaswini Pedapati, Karthikeyan Natesan Ramamurthy, Rahul Nair

CoRR, January, 2026

Risk Atlas Nexus: A System for Managing AI Risks.

Inge Vejsbjerg, Rahul Nair, Elizabeth M. Daly, Dhaval Salwala, Seshu Tirupathi

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Interpreting LLM-as-a-Judge Policies via Verifiable Global Explanations.

Jasmina Gajcin, Erik Miehling, Rahul Nair, Elizabeth Daly, Radu Marinescu, Seshu Tirupathi

CoRR, October, 2025

Paying Alignment Tax with Contrastive Learning.

Buse Sibel Korkmaz, Rahul Nair, Elizabeth M. Daly, Antonio del Rio-Chanona

CoRR, May, 2025

AI Risk Atlas: Taxonomy and Tooling for Navigating AI Risks and Resources.

Frank Bagehorn, Kristina Brimijoin, Elizabeth M. Daly, Jessica He, Michael Hind, Luis Garcés-Erice, Christopher Giblin, Ioana Giurgiu, Jacquelyn Martino, Rahul Nair, David Piorkowski, Ambrish Rawat, John T. Richards, Sean Rooney, Dhaval Salwala, Seshu Tirupathi, Peter Urbanetz, Kush R. Varshney, Inge Vejsbjerg, Mira L. Wolf-Bauwens

CoRR, March, 2025

Foundation Models at Work: Fine-Tuning for Fairness in Algorithmic Hiring.

Buse Sibel Korkmaz, Rahul Nair, Elizabeth M. Daly, Evangelos Anagnostopoulos, Christos Varytimidis, Antonio del Rio-Chanona

CoRR, January, 2025

EvalAssist: Insights on Task-Specific Evaluations and AI-Assisted Judgment Strategy Preferences.

Zahra Ashktorab, Michael Desmond, Qian Pan, James M. Johnson, Martín Santillán Cooper, Elizabeth M. Daly, Rahul Nair, Tejaswini Pedapati, Hyo Jin Do, Werner Geyer

Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology, 2025

A Representation-Level Assessment of Bias Mitigation in Foundation Models.

Svetoslav Nizhnichenkov, Rahul Nair, Elizabeth Daly, Brian Mac Namee

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

Humble AI in the real-world: the case of algorithmic hiring.

Rahul Nair, Inge Vejsbjerg, Elizabeth M. Daly, Christos Varytimidis, Bran Knowles

Proceedings of the Adjunct Proceedings of the 4th Annual Symposium on Human-Computer Interaction for Work, 2025

EvalAssist: LLM-as-a-Judge Simplified.

Michael Desmond, Zahra Ashktorab, Werner Geyer, Elizabeth M. Daly, Martín Santillán Cooper, Qian Pan, Rahul Nair, Nico Wagner, Tejaswini Pedapati

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Black-box Uncertainty Quantification Method for LLM-as-a-Judge.

Nico Wagner, Michael Desmond, Rahul Nair, Zahra Ashktorab, Elizabeth M. Daly, Qian Pan, Martin Santillan Cooper, James M. Johnson, Werner Geyer

CoRR, 2024

Aligning Human and LLM Judgments: Insights from EvalAssist on Task-Specific Evaluations and AI-assisted Assessment Strategy Preferences.

Zahra Ashktorab, Michael Desmond, Qian Pan, James M. Johnson, Martin Santillan Cooper, Elizabeth M. Daly, Rahul Nair, Tejaswini Pedapati, Swapnaja Achintalwar, Werner Geyer

CoRR, 2024

Human-Centered Design Recommendations for LLM-as-a-Judge.

Qian Pan, Zahra Ashktorab, Michael Desmond, Martin Santillan Cooper, James M. Johnson, Rahul Nair, Elizabeth Daly, Werner Geyer

CoRR, 2024

Ranking Large Language Models without Ground Truth.

Amit Dhurandhar, Rahul Nair, Moninder Singh, Elizabeth Daly, Karthikeyan Natesan Ramamurthy

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Interactive Human-Centric Bias Mitigation.

Inge Vejsbjerg, Elizabeth M. Daly, Rahul Nair, Svetoslav Nizhnichenkov

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Explaining Knock-on Effects of Bias Mitigation.

Svetoslav Nizhnichenkov, Rahul Nair, Elizabeth Daly, Brian Mac Namee

CoRR, 2023

Interpretable differencing of machine learning models.

Swagatam Haldar, Diptikalyan Saha, Dennis Wei, Rahul Nair, Elizabeth M. Daly

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Cookie Consent Has Disparate Impact on Estimation Accuracy.

Erik Miehling, Rahul Nair, Elizabeth Daly, Karthikeyan Natesan Ramamurthy, Robert Redmond

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AutoDOViz: Human-Centered Automation for Decision Optimization.

Daniel Karl I. Weidele, Shazia Afzal, Abel N. Valente, Cole Makuch, Owen Cornec, Long Vu, Dharmashankar Subramanian, Werner Geyer, Rahul Nair, Inge Vejsbjerg, Radu Marinescu, Paulito P. Palmes, Elizabeth M. Daly, Loraine Franke, Daniel Haehn

Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Iterative Reward Shaping Using Human Feedback for Correcting Reward Misspecification.

Jasmina Gajcin, James McCarthy, Rahul Nair, Radu Marinescu, Elizabeth Daly, Ivana Dusparic

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

An Explainable Forecasting System for Humanitarian Needs Assessment.

Rahul Nair, Bo Schwartz Madsen, Alexander Kjærum

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Boolean Decision Rules for Reinforcement Learning Policy Summarisation.

James McCarthy, Rahul Nair, Elizabeth Daly, Radu Marinescu, Ivana Dusparic

CoRR, 2022

On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach.

Dennis Wei, Rahul Nair, Amit Dhurandhar, Kush R. Varshney, Elizabeth Daly, Moninder Singh

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FROTE: Feedback Rule-Driven Oversampling for Editing Models.

Oznur Alkan, Dennis Wei, Massimiliano Mattetti, Rahul Nair, Elizabeth Daly, Diptikalyan Saha

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

2021

Contrastive Explanations for Comparing Preferences of Reinforcement Learning Agents.

Jasmina Gajcin, Rahul Nair, Tejaswini Pedapati, Radu Marinescu, Elizabeth Daly, Ivana Dusparic

CoRR, 2021

AIMEE: Interactive model maintenance with rule-based surrogates.

Owen Cornec, Rahul Nair, Elizabeth Daly, Oznur Alkan, Dennis Wei

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

What Changed? Interpretable Model Comparison.

Rahul Nair, Massimiliano Mattetti, Elizabeth Daly, Dennis Wei, Oznur Alkan, Yunfeng Zhang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

User Driven Model Adjustment via Boolean Rule Explanations.

Elizabeth M. Daly, Massimiliano Mattetti, Öznur Alkan, Rahul Nair

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A machine learning approach to scenario analysis and forecasting of mixed migration.

Rahul Nair, Bo Schwartz Madsen, Helena Lassen, Serge Baduk, Srividya Nagarajan, Lars Henrik Mogensen, Rana Novack, Rebecca Curzon, Jurij Paraszczak, Sanne Urbak

IBM J. Res. Dev., 2020

Scenario-based XAI for Humanitarian Aid Forecasting.

Josh Andres, Christine T. Wolf, Sergio Cabrero Barros, Erick Oduor, Rahul Nair, Alexander Kjærum, Anders Bech Tharsgaard, Bo Schwartz Madsen

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

2019

RSM: An Explainable Predictive Sales Route Selector.

Bei Chen, Rahul Nair, Inge Vejsbjerg

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019