Author

Seunghyun Yoo

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#artificial intelligence Preprint Oct 2026

Meta-Reflective Evolution Effectively Improves Production AI Systems

Large Language Model (LLM)-guided evolutionary optimization has successfully improved prompts, programs, and even entire AI systems. Most optimization methods select a candidate from the search frontier, then mutate it in one LLM pass based only on its failures. This focus on the frontier can stall on production AI sys...

Seunghyun Yoo, Chang Zeng, Aditi Somayajula et al. · 0 citations

#artificial intelligence Preprint Sep 2026

SPACE-LoRA: Allocating Activation-Subspace Protection for Continual Learning

This study addresses the catastrophic forgetting problem that occurs when sequentially learning successive tasks using Low-Rank Adaptation (LoRA) from a lifelong learning perspective and proposes Subspace Protection with Allocated Capacity for Efficient Continual Adaptation (SPACE-LoRA).

Seunghyun Yoo, Kiseok Kim, Hyeontae Joo et al. · 0 citations