Jesse Roberts

According to our database, Jesse Roberts authored at least 14 papers between 2018 and 2024.

Collaborative distances:

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

2024

Supporting the Digital Autonomy of Elders Through LLM Assistance.

Jesse Roberts, Lindsey Roberts, Alice Reed

CoRR, 2024

Large Language Model Recall Uncertainty is Modulated by the Fan Effect.

Jesse Roberts, Kyle Moore, Thao Pham, Oseremhen Ewaleifoh, Douglas H. Fisher

CoRR, 2024

The Base-Rate Effect on LLM Benchmark Performance: Disambiguating Test-Taking Strategies from Benchmark Performance.

Kyle Moore, Jesse Roberts, Thao Pham, Oseremhen Ewaleifoh, Douglas H. Fisher

CoRR, 2024

Do Large Language Models Learn Human-Like Strategic Preferences?

Jesse Roberts, Kyle Moore, Douglas H. Fisher

CoRR, 2024

Do Large Language Models Learn to Human-Like Learn?

Jesse Roberts

Proceedings of the AAAI 2024 Spring Symposium Series, 2024

Using Artificial Populations to Study Psychological Phenomena in Neural Models.

Jesse Roberts, Kyle Moore, Drew Wilenzick, Douglas H. Fisher

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

2023

Rock Climbing Route Generation and Grading as Computational Creativity.

Jesse Roberts

CoRR, 2023

On the Computational Power of Decoder-Only Transformer Language Models.

Jesse Roberts

CoRR, 2023

2021

Finding an Equilibrium in the Traveler's Dilemma with Fuzzy Weak Domination.

Jesse Roberts

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2020

pReview: The Artificially Intelligent Conference Reviewer.

Jesse Roberts, Douglas H. Fisher

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Extending the Philosophy of Computational Criticism.

Jesse Roberts, Douglas H. Fisher

Proceedings of the Eleventh International Conference on Computational Creativity, 2020

2019

Biologically Extending the Gen 2 ANN Model.

Jesse Roberts, Douglas A. Talbert

Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

Machine Learning Techniques for Annotations of Large Financial Text Datasets.

Jesse Roberts, Matthias Volk, Robert Neumann, Klaus Turowski

Proceedings of the 25th Americas Conference on Information Systems, 2019

2018

A Technology for Detection of Advanced Persistent Threat in Networks and Systems Using a Finite Angular State Velocity Machine and Vector Mathematics.

Gregory Vert, Ann Leslie Claesson-Vert, Jesse Roberts, Erica Bott

Proceedings of the Computer and Network Security Essentials., 2018