2 papers
cs.HC2026
CentaurTA Studio: A Self-Improving Human-Agent Collaboration System for Thematic Analysis
Lei Wang, Min Huang, Eduard Dragut
Thematic analysis is difficult to scale: manual workflows are labor-intensive, while fully automated pipelines often lack controllability and transparent evaluation. We present \te…
cs.CV2026
UrbanAlign: Post-hoc Semantic Calibration for VLM-Human Preference Alignment
Yecheng Zhang, Rong Zhao, Zhizhou Sha +10
Vision-language models (VLMs) can describe urban scenes in rich detail, yet consistently fail to produce reliable human preference labels in domain-specific tasks such as safety as…