3 papers
cs.CV2026
Interpreting and Enhancing Emotional Circuits in Large Vision-Language Models via Cross-Modal Information Flow
Chengsheng Zhang, Chenghao Sun, Zhining Xie +1
Large Vision-Language Models (LVLMs) represent a significant leap towards empathetic agents, demonstrating remarkable capabilities in emotion understanding. However, the internal m…
cs.CV2026
Prefill-Time Intervention for Mitigating Hallucination in Large Vision-Language Models
Chengsheng Zhang, Chenghao Sun, Xinyan Jiang +2
Large Vision-Language Models (LVLMs) have achieved remarkable progress in visual-textual understanding, yet their reliability is critically undermined by hallucinations, i.e., the…
cs.AI2026
Weight Patching: Toward Source-Level Mechanistic Localization in LLMs
Chenghao Sun, Chengsheng Zhang, Guanzheng Qin +2
Mechanistic interpretability seeks to localize model behavior to the internal components that causally realize it. Prior work has advanced activation-space localization and causal…