1 citations · 1 across the 9 of their papers we have counts for
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Assessing Large Language Models in Generating RTL Design Specifications
Hung-Ming Huang, Yu-Hsin Yang, Fu-Chieh Chang +5
As IC design grows more complex, automating comprehension and documentation of RTL code has become increasingly important. Engineers currently should manually interpret existing RT…
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…
A Theoretical Framework for OOD Robustness in Transformers using Gevrey Classes
Yu Wang, Fu-Chieh Chang, Pei-Yuan Wu
We study the robustness of Transformer language models under semantic out-of-distribution (OOD) shifts, where training and test data lie in disjoint latent spaces. Using Wasserstei…
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…