SOURCE-LINKED INTELLIGENCE

Reinforcement Learning for improving Large Language Models' Catalan text simplification capabilities

arXiv · AI, language, vision and robotics · article · Sep 4, 2026 · UTC

Although automatic text simplification (ATS) is critical for accessibility, its progress has not matched the rapid evolution of broader natural language processing techniques. This paper investigates the application of reinforcement learning (RL) to improve the quality of ATS for low-resource languages using Large Language Models (LLMs). The paper introduces a novel reward function, designed to guide LLMs toward a targeted simplification style with Group Relative Policy Optimization (GRPO), that combines the SARI metric with specific penalty components. The effectiveness of GRPO with this rewa

Read original source ↗ Open in workspace

recordType

paper

region

Global