Jesse Roberts

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Pseudo Relevance Feedback

Top Venues

AAAI Spring Symposia

FLAIRS Conference

Publications

Jesse Roberts, Kyle Moore, Thao Pham, Oseremhen Ewaleifoh, Douglas H. Fisher
Large Language Model Recall Uncertainty is Modulated by the Fan Effect. CoRR (2024)
Jesse Roberts, Lindsey Roberts, Alice Reed
Supporting the Digital Autonomy of Elders Through LLM Assistance. CoRR (2024)
Jesse Roberts, Kyle Moore, Douglas H. Fisher
Do Large Language Models Learn Human-Like Strategic Preferences? CoRR (2024)
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 (2024)
Jesse Roberts, Kyle Moore, Drew Wilenzick, Douglas H. Fisher
Using Artificial Populations to Study Psychological Phenomena in Neural Models. AAAI (2024)
Jesse Roberts
Do Large Language Models Learn to Human-Like Learn? AAAI Spring Symposia (2024)
Jesse Roberts, Kyle Moore, Drew Wilenzick, Douglas H. Fisher
Using Artificial Populations to Study Psychological Phenomena in Neural Models. CoRR (2023)
Jesse Roberts
On the Computational Power of Decoder-Only Transformer Language Models. CoRR (2023)
Jesse Roberts
Rock Climbing Route Generation and Grading as Computational Creativity. CoRR (2023)
Jesse Roberts
Finding an Equilibrium in the Traveler's Dilemma with Fuzzy Weak Domination. CoG (2021)
Jesse Roberts, Douglas H. Fisher
pReview: The Artificially Intelligent Conference Reviewer. ICMLA (2020)
Jesse Roberts, Douglas H. Fisher
Extending the Philosophy of Computational Criticism. ICCC (2020)
Jesse Roberts, Douglas A. Talbert
Biologically Extending the Gen 2 ANN Model. FLAIRS Conference (2019)
Jesse Roberts, Matthias Volk, Robert Neumann, Klaus Turowski
Machine Learning Techniques for Annotations of Large Financial Text Datasets. AMCIS (2019)