3 papers
cs.CL2026
From Representations to Behaviors: Exploring the Person-Situation-Behavior Triad in LLMs
Ruikang Zhang, Shuo Wang, Qi Su
The paper investigates whether large language models (LLMs) have internal, trait-like personality representations that can be identified, manipulated, and shown to affect behavior…
cs.CL2026
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…
cs.CL2026
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…