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ORCIDJesse Roberts
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2020 – today
- 2026
[i18]Micah Rentschler, Jesse Roberts
:
Reinforcement Learning from Meta-Evaluation: Aligning Language Models Without Ground-Truth Labels. CoRR abs/2601.21268 (2026)- [i17]Jared Scott, Jesse Roberts:
KARMA: Karma-Aligned Reward Model Adaptation. CoRR abs/2605.26738 (2026) - [i16]Kyle Moore, Jesse Roberts, Daryl Watson, William Ward, Grayson Heyboer:
Human-Alignment, Calibration, and Activation Patterns in Large Language Model Uncertainty. CoRR abs/2605.30675 (2026) - 2025
- [c11]Kyle Moore, Jesse Roberts, Thao Pham, Douglas H. Fisher:
Chain of Thought Still Thinks Fast: APriCoT Helps with Thinking Slow. CogSci 2025 - [c10]Yago Romano Martinez, Jesse Roberts:
LLMs as Agentic Cooperative Players in Multiplayer UNO. ICMLA 2025: 1466-1472 - [i15]S. M. Mostaq Hossain, Amani Altarawneh, Jesse Roberts:
Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection. CoRR abs/2501.02229 (2025) - [i14]Micah Rentschler, Jesse Roberts:
RL + Transformer = A General-Purpose Problem Solver. CoRR abs/2501.14176 (2025) - [i13]Kyle Moore, Jesse Roberts, Daryl Watson, Pamela J. Wisniewski:
Investigating Human-Aligned Large Language Model Uncertainty. CoRR abs/2503.12528 (2025) - [i12]Hunter Sawyer, Jesse Roberts, Kyle Moore:
Basic Category Usage in Vision Language Models. CoRR abs/2503.12530 (2025) - [i11]Micah Rentschler, Jesse Roberts:
Exploitation Is All You Need... for Exploration. CoRR abs/2508.01287 (2025) - [i10]Yago Romano Martinez, Jesse Roberts:
LLMs as Agentic Cooperative Players in Multiplayer UNO. CoRR abs/2509.09867 (2025) - 2024
- [c9]Jesse Roberts, Kyle Moore, Drew Wilenzick, Douglas H. Fisher:
Using Artificial Populations to Study Psychological Phenomena in Neural Models. AAAI 2024: 18906-18914 - [c8]Jesse Roberts:
Do Large Language Models Learn to Human-Like Learn? AAAI Spring Symposia 2024: 588-591 - [c7]Kyle Moore, Jesse Roberts, Thao Pham, Oseremhen Ewaleifoh, Douglas H. Fisher:
The Base-Rate Effect on LLM Benchmark Performance: Disambiguating Test-Taking Strategies from Benchmark Performance. EMNLP (Findings) 2024: 2283-2288 - [c6]Jesse Roberts:
How Powerful are Decoder-Only Transformer Neural Models? IJCNN 2024: 1-8 - [i9]Jesse Roberts, Kyle Moore, Douglas H. Fisher:
Do Large Language Models Learn Human-Like Strategic Preferences? CoRR abs/2404.08710 (2024) - [i8]Kyle Moore, Jesse Roberts, Thao Pham, Oseremhen Ewaleifoh, Douglas H. Fisher:
The Base-Rate Effect on LLM Benchmark Performance: Disambiguating Test-Taking Strategies from Benchmark Performance. CoRR abs/2406.11634 (2024) - [i7]Jesse Roberts, Kyle Moore, Thao Pham, Oseremhen Ewaleifoh, Douglas H. Fisher:
Large Language Model Recall Uncertainty is Modulated by the Fan Effect. CoRR abs/2407.06349 (2024) - [i6]Jesse Roberts, Lindsey Roberts, Alice Reed:
Supporting the Digital Autonomy of Elders Through LLM Assistance. CoRR abs/2407.15695 (2024) - [i5]Kyle Moore, Jesse Roberts, Thao Pham, Douglas H. Fisher:
Reasoning Beyond Bias: A Study on Counterfactual Prompting and Chain of Thought Reasoning. CoRR abs/2408.08651 (2024) - [i4]Ray Umphrey, Jesse Roberts, Lindsey Roberts:
Investigating Expert-in-the-Loop LLM Discourse Patterns for Ancient Intertextual Analysis. CoRR abs/2409.01882 (2024) - 2023
- [i3]Jesse Roberts:
On the Computational Power of Decoder-Only Transformer Language Models. CoRR abs/2305.17026 (2023) - [i2]Jesse Roberts, Kyle Moore, Drew Wilenzick, Douglas H. Fisher:
Using Artificial Populations to Study Psychological Phenomena in Neural Models. CoRR abs/2308.08032 (2023) - [i1]Jesse Roberts:
Rock Climbing Route Generation and Grading as Computational Creativity. CoRR abs/2311.02211 (2023) - 2021
- [c5]Jesse Roberts:
Finding an Equilibrium in the Traveler's Dilemma with Fuzzy Weak Domination. CoG 2021: 1-5 - 2020
- [c4]Jesse Roberts, Douglas H. Fisher:
Extending the Philosophy of Computational Criticism. ICCC 2020: 358-361 - [c3]Jesse Roberts, Douglas H. Fisher:
pReview: The Artificially Intelligent Conference Reviewer. ICMLA 2020: 665-668
2010 – 2019
- 2019
- [c2]Jesse Roberts, Matthias Volk, Robert Neumann, Klaus Turowski:
Machine Learning Techniques for Annotations of Large Financial Text Datasets. AMCIS 2019 - [c1]Jesse Roberts, Douglas A. Talbert:
Biologically Extending the Gen 2 ANN Model. FLAIRS 2019: 132-135 - 2018
- [p1]Gregory Vert, Ann Leslie Claesson-Vert, Jesse Roberts, Erica Bott:
A Technology for Detection of Advanced Persistent Threat in Networks and Systems Using a Finite Angular State Velocity Machine and Vector Mathematics. Computer and Network Security Essentials 2018: 41-64
Coauthor Index
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last updated on 2026-06-24 00:32 CEST by the dblp team
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