Author

Yu-Ting Lee

2 papers indexed here

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#artificial intelligence Oct 2024

RL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught Reasoner

This work provides a theoretical framework for understanding the effectiveness of reinforcement learning on CoT reasoning and STaR, and bridges empirical findings with theoretical insights, advancing reinforcement learning approaches for reasoning in LLMs.

Fu-Chieh Chang, Yu-Ting Lee, Hui-Ying Shih et al. · arXiv.org · 4 citations

#machine learning Preprint Sep 2026

Learning to Program Adaptive Non-Local Observables for Machine Learning

This work proposes QFWP-ANO, a novel architecture which employs a classical hypernetwork to dynamically program VQC parameters and/or non-local observables conditioned on each input, and establishes input-conditioned ANO as an effective approach for enhancing QNNs.

Yu-Ting Lee, Samuel Yen-Chi Chen, Huan-Hsin Tseng · 0 citations