Rahul Nair

39 papers A* 9A 3Journal 21Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoFrGeNet: Continued Fraction Architectures for Language Generation.
CoRR
Amit Dhurandhar, Vijil Chenthamarakshan, Dennis Wei, Tejaswini Pedapati, Karthikeyan Natesan Ramamurthy, Rahul Nair
2026 A* conf
Risk Atlas Nexus: A System for Managing AI Risks.
AAAI
Inge Vejsbjerg, Rahul Nair, Elizabeth M. Daly, Dhaval Salwala, Seshu Tirupathi
2025 J jnl
AI Risk Atlas: Taxonomy and Tooling for Navigating AI Risks and Resources.
CoRR
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
2025 A* conf
EvalAssist: Insights on Task-Specific Evaluations and AI-Assisted Judgment Strategy Preferences.
UIST
Zahra Ashktorab, Michael Desmond, Qian Pan, James M. Johnson, Martín Santillán Cooper, Elizabeth M. Daly, Rahul Nair, Tejaswini Pedapati, Hyo Jin Do, Werner Geyer
2025 A* conf
EvalAssist: LLM-as-a-Judge Simplified.
AAAI
Michael Desmond, Zahra Ashktorab, Werner Geyer, Elizabeth M. Daly, Martín Santillán Cooper, Qian Pan, Rahul Nair, Nico Wagner, Tejaswini Pedapati
2025 J jnl
Foundation Models at Work: Fine-Tuning for Fairness in Algorithmic Hiring.
CoRR
Buse Sibel Korkmaz, Rahul Nair, Elizabeth M. Daly, Evangelos Anagnostopoulos, Christos Varytimidis, Antonio del Rio-Chanona
2025 — conf
Humble AI in the real-world: the case of algorithmic hiring.
CHIWORK (Adjunct)
Rahul Nair, Inge Vejsbjerg, Elizabeth M. Daly, Christos Varytimidis, Bran Knowles
2025 J jnl
Humble AI in the real-world: the case of algorithmic hiring.
CoRR
Rahul Nair, Inge Vejsbjerg, Elizabeth Daly, Christos Varytimidis, Bran Knowles
2025 J jnl
Interpreting LLM-as-a-Judge Policies via Verifiable Global Explanations.
CoRR
Jasmina Gajcin, Erik Miehling, Rahul Nair, Elizabeth Daly, Radu Marinescu, Seshu Tirupathi
2025 J jnl
Paying Alignment Tax with Contrastive Learning.
CoRR
Buse Sibel Korkmaz, Rahul Nair, Elizabeth M. Daly, Antonio del Rio-Chanona
2024 J jnl
Aligning Human and LLM Judgments: Insights from EvalAssist on Task-Specific Evaluations and AI-assisted Assessment Strategy Preferences.
CoRR
Zahra Ashktorab, Michael Desmond, Qian Pan, James M. Johnson, Martin Santillan Cooper, Elizabeth M. Daly, Rahul Nair, Tejaswini Pedapati, Swapnaja Achintalwar, Werner Geyer
2024 J jnl
Black-box Uncertainty Quantification Method for LLM-as-a-Judge.
CoRR
Nico Wagner, Michael Desmond, Rahul Nair, Zahra Ashktorab, Elizabeth M. Daly, Qian Pan, Martin Santillan Cooper, James M. Johnson, Werner Geyer
2024 J jnl
Human-Centered Design Recommendations for LLM-as-a-Judge.
CoRR
Qian Pan, Zahra Ashktorab, Michael Desmond, Martin Santillan Cooper, James M. Johnson, Rahul Nair, Elizabeth Daly, Werner Geyer
2024 A* conf
Interactive Human-Centric Bias Mitigation.
AAAI
Inge Vejsbjerg, Elizabeth M. Daly, Rahul Nair, Svetoslav Nizhnichenkov
2024 — conf
Ranking Large Language Models without Ground Truth.
ACL (Findings)
Amit Dhurandhar, Rahul Nair, Moninder Singh, Elizabeth Daly, Karthikeyan Natesan Ramamurthy
2024 J jnl
Ranking Large Language Models without Ground Truth.
CoRR
Amit Dhurandhar, Rahul Nair, Moninder Singh, Elizabeth Daly, Karthikeyan Natesan Ramamurthy
2023 A* conf
An Explainable Forecasting System for Humanitarian Needs Assessment.
AAAI
Rahul Nair, Bo Schwartz Madsen, Alexander Kjærum
2023 J jnl
An explainable forecasting system for humanitarian needs assessment.
AI Mag.
Rahul Nair, Bo Schwartz Madsen, Alexander Kjærum
2023 A conf
AutoDOViz: Human-Centered Automation for Decision Optimization.
IUI
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
2023 J jnl
AutoDOViz: Human-Centered Automation for Decision Optimization.
CoRR
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
2023 A* conf
Cookie Consent Has Disparate Impact on Estimation Accuracy.
NeurIPS
Erik Miehling, Rahul Nair, Elizabeth Daly, Karthikeyan Natesan Ramamurthy, Robert Redmond
2023 J jnl
Explaining Knock-on Effects of Bias Mitigation.
CoRR
Svetoslav Nizhnichenkov, Rahul Nair, Elizabeth Daly, Brian Mac Namee
2023 J jnl
Interpretable Differencing of Machine Learning Models.
CoRR
Swagatam Haldar, Diptikalyan Saha, Dennis Wei, Rahul Nair, Elizabeth M. Daly
2023 A conf
Interpretable differencing of machine learning models.
UAI
Swagatam Haldar, Diptikalyan Saha, Dennis Wei, Rahul Nair, Elizabeth M. Daly
2023 A conf
Iterative Reward Shaping Using Human Feedback for Correcting Reward Misspecification.
ECAI
Jasmina Gajcin, James McCarthy, Rahul Nair, Radu Marinescu, Elizabeth Daly, Ivana Dusparic
2023 J jnl
Iterative Reward Shaping using Human Feedback for Correcting Reward Misspecification.
CoRR
Jasmina Gajcin, James McCarthy, Rahul Nair, Radu Marinescu, Elizabeth Daly, Ivana Dusparic
2022 J jnl
Boolean Decision Rules for Reinforcement Learning Policy Summarisation.
CoRR
James McCarthy, Rahul Nair, Elizabeth Daly, Radu Marinescu, Ivana Dusparic
2022 — conf
FROTE: Feedback Rule-Driven Oversampling for Editing Models.
MLSys
Oznur Alkan, Dennis Wei, Massimiliano Mattetti, Rahul Nair, Elizabeth Daly, Diptikalyan Saha
2022 J jnl
FROTE: Feedback Rule-Driven Oversampling for Editing Models.
CoRR
Öznur Alkan, Dennis Wei, Massimiliano Mattetti, Rahul Nair, Elizabeth M. Daly, Diptikalyan Saha
2022 A* conf
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach.
NeurIPS
Dennis Wei, Rahul Nair, Amit Dhurandhar, Kush R. Varshney, Elizabeth Daly, Moninder Singh
2022 J jnl
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach.
CoRR
Dennis Wei, Rahul Nair, Amit Dhurandhar, Kush R. Varshney, Elizabeth M. Daly, Moninder Singh
2022 J jnl
User Driven Model Adjustment via Boolean Rule Explanations.
CoRR
Elizabeth M. Daly, Massimiliano Mattetti, Öznur Alkan, Rahul Nair
2021 — conf
AIMEE: Interactive model maintenance with rule-based surrogates.
NeurIPS (Competition and Demos)
Owen Cornec, Rahul Nair, Elizabeth Daly, Oznur Alkan, Dennis Wei
2021 J jnl
Contrastive Explanations for Comparing Preferences of Reinforcement Learning Agents.
CoRR
Jasmina Gajcin, Rahul Nair, Tejaswini Pedapati, Radu Marinescu, Elizabeth Daly, Ivana Dusparic
2021 A* conf
User Driven Model Adjustment via Boolean Rule Explanations.
AAAI
Elizabeth M. Daly, Massimiliano Mattetti, Öznur Alkan, Rahul Nair
2021 A* conf
What Changed? Interpretable Model Comparison.
IJCAI
Rahul Nair, Massimiliano Mattetti, Elizabeth Daly, Dennis Wei, Oznur Alkan, Yunfeng Zhang
2020 J jnl
A machine learning approach to scenario analysis and forecasting of mixed migration.
IBM J. Res. Dev.
Rahul Nair, Bo Schwartz Madsen, Helena Lassen, Serge Baduk, Srividya Nagarajan, Lars Henrik Mogensen, Rana Novack, Rebecca Curzon, Jurij Paraszczak, Sanne Urbak
2020 — conf
Scenario-based XAI for Humanitarian Aid Forecasting.
CHI Extended Abstracts
Josh Andres, Christine T. Wolf, Sergio Cabrero Barros, Erick Oduor, Rahul Nair, Alexander Kjærum, Anders Bech Tharsgaard, Bo Schwartz Madsen
2019 — conf
RSM: An Explainable Predictive Sales Route Selector.
ICDM Workshops
Bei Chen, Rahul Nair, Inge Vejsbjerg