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arXiv · 2510.03394

Studying the Korean Word-Chain Game with RLVR: Mitigating Reward Conflicts via Curriculum Learning

Donghwan Rho
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Abstract

Reinforcement learning with verifiable rewards (RLVR) is a promising approach for training large language models (LLMs) with stronger reasoning abilities. It has also been applied to a variety of logic puzzles. In this work, we study the Korean word-chain game using RLVR. We show that rule-derived rewards can naturally conflict, and demonstrate through experiments that a curriculum-learning scheme mitigates these conflicts. Our findings motivate further studies of puzzle tasks in diverse languages.

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Donghwan Rho. 2025-10-03. Studying the Korean Word-Chain Game with RLVR: Mitigating Reward Conflicts via Curriculum Learning. https://arxiv.org/abs/2510.03394

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