Author

Ting-Wei Chang

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#natural language process... Sep 2026

Enhancing Accessibility of Medical Texts through Large Language Model-Driven Plain Language Adaptation

This work leverages the capabilities of LLMs such as GPT-4o-mini, Gemini-1.5-pro, and LLaMA for text simplification and incorporates Mixture-of-Agents (MoA) techniques to enhance adaptability and robustness in PLA tasks.

Ting-Wei Chang, Hen-Hsen Huang, Hsin-Hsi Chen · Text Retrieval Conference · 0 citations

#natural language process... Preprint Sep 2026

Smarter by the Moment: Environment-Driven Dynamic Policies for Continual LLM Improvement

Dynamic Retrieval-based Policy Generation (DRPG) is proposed, a framework that integrates memory-based retrieval with a dynamic policy generator, leveraging historical data and environment feedback to produce task-specific policies for continual LLM improvement.

Ting-Wei Chang, Po-Chun Chen, Hen-Hsen Huang et al. · 0 citations