| How Powerful are Decoder-Only Transformer Neural Models? J Roberts arXiv preprint arXiv:2305.17026, 2023 | 14* | 2023 |
| Using Artificial Populations to Study Psychological Phenomena in Neural Models J Roberts, K Moore, D Wilenzick, D Fisher Proceedings of the AAAI Conference on Artificial Intelligence 38 (17), 18906 …, 2024 | 5 | 2024 |
| pReview: The artificially intelligent conference reviewer J Roberts, D Fisher 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 5 | 2020 |
| Do Large Language Models Learn Human-Like Strategic Preferences? J Roberts, K Moore, D Fisher arXiv preprint arXiv:2404.08710, 2024 | 4 | 2024 |
| MNFIS and other soft computing based MPPT techniques: A comparative analysis J Roberts, I Bhattacharya 2016 IEEE 43rd Photovoltaic Specialists Conference (PVSC), 3247-3251, 2016 | 4 | 2016 |
| The Base-Rate Effect on LLM Benchmark Performance: Disambiguating Test-Taking Strategies from Benchmark Performance K Moore, J Roberts, T Pham, O Ewaleifoh, D Fisher arXiv preprint arXiv:2406.11634, 2024 | 2 | 2024 |
| Finding an Equilibrium in the Traveler's Dilemma with Fuzzy Weak Domination J Roberts 2021 IEEE Conference on Games (CoG), 1-5, 2021 | 2 | 2021 |
| Large language model recall uncertainty is modulated by the fan effect J Roberts, K Moore, T Pham, O Ewaleifoh, D Fisher arXiv preprint arXiv:2407.06349, 2024 | 1 | 2024 |
| Extending the Philosophy of Computational Criticism. J Roberts, DH Fisher ICCC, 358-361, 2020 | 1 | 2020 |
| Improving any arbitrary MPPT hill climber with ANN estimations J Roberts, I Bhattacharya 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), 3083-3087, 2017 | 1 | 2017 |
| Supporting the Digital Autonomy of Elders Through LLM Assistance J Roberts, L Roberts, A Reed Proceedings of the AAAI Symposium Series 4 (1), 182-186, 2024 | | 2024 |
| Investigating Expert-in-the-Loop LLM Discourse Patterns for Ancient Intertextual Analysis R Umphrey, J Roberts, L Roberts arXiv preprint arXiv:2409.01882, 2024 | | 2024 |
| Reasoning Beyond Bias: A Study on Counterfactual Prompting and Chain of Thought Reasoning K Moore, J Roberts, T Pham, D Fisher arXiv preprint arXiv:2408.08651, 2024 | | 2024 |
| Do Large Language Models Learn to Human-Like Learn? J Roberts Proceedings of the AAAI 2024 Spring Symposium Series 3 (1), 588-591, 2024 | | 2024 |
| A Theoretical & Empirical Analysis of Transformer Language Model Behavior JTN Roberts | | 2024 |
| Introduction to PLC Automation J Roberts https://www.jessetnroberts.com/files/Introduction_to_PLC_Automation.pdf, 2024 | | 2024 |
| Rock Climbing Route Generation and Grading as Computational Creativity J Roberts arXiv preprint arXiv:2311.02211, 2023 | | 2023 |
| Biologically Extending the Gen 2 ANN Model J Roberts, D Talbert The Thirty-Second International Flairs Conference, 2019 | | 2019 |
| MNFIS+; or, a Better Hybrid Heuristic Maximum Power Point Tracker JT Roberts Tennessee Technological University, 2017 | | 2017 |
Kyle MooreVanderbilt UniversityEmail verificata su vanderbilt.edu
