uncertainty quantification, model calibration, verbalized confidence, epistemic vs. aleatoric uncertainty
2024 – Present
large language models, cognitive heuristics and biases, judgment and decision making, machine psychology
2024 – Present
linear mixed-effects models, behavioral analysis, experimental design, robust evaluation
2024 – Present
logical reasoning, chain-of-thought analysis, deductive and inductive reasoning, symbolic logic
2024 – Present
instruction tuning, RLHF, reinforcement learning from human feedback, behavioral shifts in LLMs, knowledge distillation
2023 – Present