Kyle Moore

4 papers · 2024–2025 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) ❓ The Questioner

Venues

AAAI (1) ACL (1) CoNLL (1) EMNLP (1)

Top co-authors

Douglas Fisher (4) Jesse Roberts (4) Thao Pham (2) Oseremhen Ewaleifoh (2) Drew Wilenzick (1)

Research topics

Artificial Intelligence (3) Core AI (3) Machine Learning (2) Natural Language Processing (2) Learning Types (2) Deep Learning (1) Generation (1) Optimization & Theory · Machine Learning (1) Optimization & Theory · Deep Learning (1) Resources & Methods (1)

Keywords

large language model (3) game theory (1) in-context learning (1) prompt engineering (1) evaluation methodology (1) language model (1) uncertainty estimation (1) token probability (1) transformer model (1) strategic preference (1) prisoner dilemma (1) human-like behavior (1) cognitive phenomenon (1) test-taking strategy (1) value-based preference (1) human-like preference (1) recall uncertainty (1) fan effect (1) benchmark performance (1) test-taking strategies (1)

Papers

Do Large Language Models Learn Human-Like Strategic Preferences? ACL 2025 Large Language Model Recall Uncertainty is Modulated by the Fan Effect CoNLL 2024 The Base-Rate Effect on LLM Benchmark Performance: Disambiguating Test-Taking Strategies from Benchmark Performance EMNLP 2024 Using Artificial Populations to Study Psychological Phenomena in Neural Models AAAI 2024