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cs.AI2026
Reasonably reasoning AI agents can avoid game-theoretic failures in zero-shot, provably
Enoch Hyunwook Kang
As autonomous AI agents increasingly mediate online platform markets, a fundamental question emerges: do these markets generate stable strategic outcomes? In repeated strategic env…
cs.AI2026
LLM Personas as a Substitute for Field Experiments in Method Benchmarking
Enoch Hyunwook Kang
Field experiments (A/B tests) are often the most credible benchmark for methods (algorithms) in societal systems, but their cost and latency bottleneck rapid methodological progres…
cs.AI2025
TextBO: Bayesian Optimization in Language Space for Eval-Efficient Self-Improving AI
Enoch Hyunwook Kang, Hema Yoganarasimhan
Large Language Models (LLMs) have enabled self-improving AI systems that iteratively generate, evaluate, and refine their outcomes. Recent studies show that prompt-optimization-bas…