4 papers
From Representations to Behaviors: Exploring the Person-Situation-Behavior Triad in LLMs
Ruikang Zhang, Shuo Wang, Qi Su
Human personality theories characterize traits not as isolated attributes captured by a single score, but as stable individual tendencies expressed through the interplay among pers…
LitSeg: Narrative-Aware Document Segmentation for Literary RAG
Ruikang Zhang, Zhanni Chen, Yiqiao Cai +1
Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by incorporating external knowledge, particularly for long-tail domains such as literary works. However,…
Mechanistic Knobs in LLMs: Retrieving and Steering High-Order Semantic Features via Sparse Autoencoders
Ruikang Zhang, Shuo Wang, Qi Su
Recent work in Mechanistic Interpretability (MI) has enabled the identification and intervention of internal features in Large Language Models (LLMs). However, a persistent challen…
HUMORCHAIN: Theory-Guided Multi-Stage Reasoning for Interpretable Multimodal Humor Generation
Jiajun Zhang, Shijia Luo, Ruikang Zhang +1
Humor, as both a creative human activity and a social binding mechanism, has long posed a major challenge for AI generation. Although producing humor requires complex cognitive rea…