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Home/Authors/Jesse Roberts

Jesse Roberts

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

AI×2Society×1Neural Computing×1NLP×1

Frequent co-authors

Hunter Sawyer1×
Simon Matei1×
Kyle Moore1×
Daryl Watson1×
William Ward1×
Grayson Heyboer1×

Research Timeline

2026
Human-Alignment, Calibration, and Activation Patterns in Large Language Model Uncertainty

This paper investigates whether large language models exhibit uncertainty signals similar to human judgment, examining both overt behavior and internal activation patterns to assess alignment and calibration.

Calibrating Urban Traffic Simulation from Sparse Road Observations via Genetic Optimization

The paper introduces a genetic algorithm framework to calibrate complex urban traffic simulations using only sparse real-world traffic observations, eliminating the need for detailed employment data.

Highlighted terms show continued research focus across papers

Papers

cs.AIcs.CYcs.NERecentJun 2, 2026

Calibrating Urban Traffic Simulation from Sparse Road Observations via Genetic Optimization

Hunter Sawyer, Jesse Roberts, Simon Matei

The paper introduces a genetic algorithm framework to calibrate complex urban traffic simulations using only sparse real-world traffic observations, eliminating the need for detailed employment data.

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cs.CLcs.AIRecentMay 29, 2026

Human-Alignment, Calibration, and Activation Patterns in Large Language Model Uncertainty

Kyle Moore, Jesse Roberts, Daryl Watson, William Ward +1 more

This paper investigates whether large language models exhibit uncertainty signals similar to human judgment, examining both overt behavior and internal activation patterns to assess alignment and cali…

View →