Author

Sung Whan Yoon

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Preprint Oct 2026

Flat-RLVR: Sharpness-Aware Reinforcement Learning with Verifiable Rewards for Reasoning Capacity in LLMs

This work theoretically links flat reward RLVR to reduced distribution sharpening, and empirically shows improved sample diversity while maintaining single-attempt accuracy, in a method called \texttt{Flat}-RLVR that searches for flat reward regions via sharpness-aware minimization during LLM post-training, combining t...

Yeonbum Kim, Hyun Lee, Sung Whan Yoon · 0 citations

#artificial intelligence Preprint Sep 2026

SQUARE: Structured Quantum Representation Adapters as Compact Quadratic Feature Maps for Frozen Language Models

Frozen language models (LMs) are increasingly used as fixed feature extractors for downstream reranking, scoring, and preference modeling, raising a practical question: how should a compact module represent interactions among features in a fixed low-dimensional bottleneck? Common linear and low-rank adapters remain lin...

E. Roh, Hyojun Ahn, Hoyeong Lee et al. · 0 citations