FearCaut-Qwen: Affective Steering in a Vision-Language Model Shifts the Decision Criterion for Hazard Assessment

arXiv:2610.11986 · cs.CV · Submitted 2026-10-08 · Read on arXiv

cs.CV

Submitted: 2026-10-08

Updated: 2026-10-08

Terminology

• Steering — 62× in this paper · explained in 2 episodes
• Accuracy — 32× in this paper · explained in 1 episode
• Interpretability — 12× in this paper · explained in 15 episodes
• Transformer — 9× in this paper · explained in 2 episodes
• Mechanistic interpretability — 8× in this paper · explained in 2 episodes
• Activation Steering — 7× in this paper · explained in 4 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Calibration — 5× in this paper · explained in 7 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Activation Patching — 3× in this paper · explained in 2 episodes
• Degeneracy — 3× in this paper · explained in 3 episodes
• Linear Probing — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Activation Addition — 2× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• Trace — 2× in this paper · explained in 2 episodes
• AUC — 1× in this paper · explained in 2 episodes
• Action Bias — 1× in this paper · explained in 1 episode
• Affective Computing — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Appraisal Dimensions — 1× in this paper · explained in 1 episode
• Decode — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Domain Shift — 1× in this paper · explained in 4 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Multimodal Inputs — 1× in this paper · explained in 2 episodes
• Scaffolding — 1× in this paper · explained in 3 episodes
• Scaling Laws — 1× in this paper · explained in 4 episodes

Sources

• Post-hurricane building damage assessment using street-view imagery and structured data: A multi-modal deep learning approach
• Automated Wildfire Damage Assessment from Multi view Ground level Imagery Via Vision Language Models
• Towards Interpreting Visual Information Processing in Vision-Language Models
• Do LLMs "Feel"? Emotion Circuits Discovery and Control
• Qwen2.5-VL Technical Report

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models