5 papers
Multivariate Time Series Forecasting with Adaptive Non-Local Observables
Yu-Ting Lee, Huan-Hsin Tseng, Samuel Yen-Chi Chen
Multivariate time series forecasting (MTSF) predicts future values of multiple variables from historical data. While quantum neural networks have been increasingly applied to this…
Quantum Hierarchical Reinforcement Learning via Variational Quantum Circuits
Yu-Ting Lee, Samuel Yen-Chi Chen, Fu-Chieh Chang
While parameterized quantum computations have shown success in standard reinforcement learning (RL), whether these advantages adapt to hierarchical RL (HRL) remains a critical open…
Unveiling the Latent Directions of Reflection in Large Language Models
Fu-Chieh Chang, Yu-Ting Lee, Pei-Yuan Wu
Reflection, the ability of large language models (LLMs) to evaluate and revise their own reasoning, has been widely used to improve performance on complex reasoning tasks. Yet, mos…
Explaining Intrinsic Moral Self-Correction with Mechanistic Interpretability
Yu-Ting Lee, Fu-Chieh Chang, Yu-En Shu +2
Intrinsic moral self-correction refers to the phenomenon where a language model refines its ethical judgments or aligns its outputs purely through prompting. While effective across…
RL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught Reasoner
Fu-Chieh Chang, Yu-Ting Lee, Hui-Ying Shih +2
The reasoning abilities of large language models (LLMs) have improved with chain-of-thought (CoT) prompting, allowing models to solve complex tasks stepwise. However, training CoT…