Taylor Lundy

According to our database, Taylor Lundy authored at least 14 papers between 2019 and 2026.

Collaborative distances:

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

2026

QuickScope: Certifying Hard Questions in Dynamic LLM Benchmarks.

Taylor Lundy, Narun K. Raman, Kevin Leyton-Brown

CoRR, April, 2026

2025

Reasoning Models are Test Exploiters: Rethinking Multiple-Choice.

Narun K. Raman, Taylor Lundy, Kevin Leyton-Brown

CoRR, July, 2025

NFTs as a Data-Rich Test Bed: Conspicuous Consumption and its Determinants.

Taylor Lundy, Narun K. Raman, Scott Duke Kominers, Kevin Leyton-Brown

Proceedings of the ACM on Web Conference 2025, 2025

STEER-ME: Assessing the Microeconomic Reasoning of Large Language Models.

Narun K. Raman, Taylor Lundy, Thiago Amin, Kevin Leyton-Brown, Jesse Perla

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Simple Mechanisms for Utility Maximization: Approximating Welfare in the I.I.D. Unit-Demand Setting.

Kira Goldner, Taylor Lundy

CoRR, 2024

Rationality Report Cards: Assessing the Economic Rationality of Large Language Models.

Narun K. Raman, Taylor Lundy, Samuel Joseph Amouyal, Yoav Levine, Kevin Leyton-Brown, Moshe Tennenholtz

CoRR, 2024

STEER: Assessing the Economic Rationality of Large Language Models.

Narun Krishnamurthi Raman, Taylor Lundy, Samuel Joseph Amouyal, Yoav Levine, Kevin Leyton-Brown, Moshe Tennenholtz

Proceedings of the Forty-first International Conference on Machine Learning, 2024

UNSAT Solver Synthesis via Monte Carlo Forest Search.

Chris Cameron, Jason S. Hartford, Taylor Lundy, Tuan Truong, Alan Milligan, Rex Chen, Kevin Leyton-Brown

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2024

Pay to (Not) Play: Monetizing Impatience in Mobile Games.

Taylor Lundy, Narun K. Raman, Hu Fu, Kevin Leyton-Brown

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

2022

Monte Carlo Forest Search: UNSAT Solver Synthesis via Reinforcement learning.

Chris Cameron, Jason S. Hartford, Taylor Lundy, Tuan Truong, Alan Milligan, Rex Chen, Kevin Leyton-Brown

CoRR, 2022

The Perils of Learning Before Optimizing.

Chris Cameron, Jason S. Hartford, Taylor Lundy, Kevin Leyton-Brown

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Smarter Parking: Using AI to Identify Parking Inefficiencies in Vancouver.

Devon R. Graham, Satish Kumar Sarraf, Taylor Lundy, Ali MohammadMehr, Sara Uppal, Tae-Yoon Lee, Hedayat Zarkoob, Scott Duke Kominers, Kevin Leyton-Brown

CoRR, 2020

Limitations of Incentive Compatibility on Discrete Type Spaces.

Taylor Lundy, Hu Fu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Allocation for Social Good: Auditing Mechanisms for Utility Maximization.

Taylor Lundy, Alexander Wei, Hu Fu, Scott Duke Kominers, Kevin Leyton-Brown

Proceedings of the 2019 ACM Conference on Economics and Computation, 2019