3 papers
cs.GT2025
Bias-Adjusted LLM Agents for Human-Like Decision-Making via Behavioral Economics
Ayato Kitadai, Yusuke Fukasawa, Nariaki Nishino
Large language models (LLMs) are increasingly used to simulate human decision-making, but their intrinsic biases often diverge from real human behavior--limiting their ability to r…
cs.CV2024
COM Kitchens: An Unedited Overhead-view Video Dataset as a Vision-Language Benchmark
Koki Maeda, Tosho Hirasawa, Atsushi Hashimoto +4
Procedural video understanding is gaining attention in the vision and language community. Deep learning-based video analysis requires extensive data. Consequently, existing works o…
cs.GT2024
Can AI with High Reasoning Ability Replicate Human-like Decision Making in Economic Experiments?
Ayato Kitadai, Sinndy Dayana Rico Lugo, Yudai Tsurusaki +2
Economic experiments offer a controlled setting for researchers to observe human decision-making and test diverse theories and hypotheses; however, substantial costs and efforts ar…