Jesse Roberts

Orcid: 0000-0002-6210-0678

According to our database1, Jesse Roberts authored at least 17 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Investigating Expert-in-the-Loop LLM Discourse Patterns for Ancient Intertextual Analysis.
CoRR, 2024

Reasoning Beyond Bias: A Study on Counterfactual Prompting and Chain of Thought Reasoning.
CoRR, 2024

Supporting the Digital Autonomy of Elders Through LLM Assistance.
CoRR, 2024

Large Language Model Recall Uncertainty is Modulated by the Fan Effect.
CoRR, 2024

The Base-Rate Effect on LLM Benchmark Performance: Disambiguating Test-Taking Strategies from Benchmark Performance.
CoRR, 2024

Do Large Language Models Learn Human-Like Strategic Preferences?
CoRR, 2024

How Powerful are Decoder-Only Transformer Neural Models?
Proceedings of the International Joint Conference on Neural Networks, 2024

Do Large Language Models Learn to Human-Like Learn?
Proceedings of the AAAI 2024 Spring Symposium Series, 2024

Using Artificial Populations to Study Psychological Phenomena in Neural Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Rock Climbing Route Generation and Grading as Computational Creativity.
CoRR, 2023

On the Computational Power of Decoder-Only Transformer Language Models.
CoRR, 2023

2021
Finding an Equilibrium in the Traveler's Dilemma with Fuzzy Weak Domination.
Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2020
pReview: The Artificially Intelligent Conference Reviewer.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Extending the Philosophy of Computational Criticism.
Proceedings of the Eleventh International Conference on Computational Creativity, 2020

2019
Biologically Extending the Gen 2 ANN Model.
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

Machine Learning Techniques for Annotations of Large Financial Text Datasets.
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.
Proceedings of the Computer and Network Security Essentials., 2018


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