efficient inference 1model calibration 1semantic drift 1vision-language models 1visual token reduction 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CV2026
Calibrate Before Reason: Robust Visual Token Reduction against Semantic Drift in VLMs
Jiasheng Li, Zhong Ji, Yan Zhang +1
The paper proposes CaRe, a training‑free method that calibrates compact visual representations before reasoning to keep semantic consistency when reducing visual tokens in large vi…
cs.CV2026
TAP-RAG: Task-Aware Policy Control for Long-Document Multimodal Question Answering
Zhong Ji, Keqi Jin, Yan Zhang +1
Long-document multimodal question answering requires more than retrieving relevant chunks from a large document. Different queries require different evidence behavior. Existing mul…
cs.CV2025
Underlying Semantic Diffusion for Effective and Efficient In-Context Learning
Zhong Ji, Weilong Cao, Yan Zhang +3
Diffusion models has emerged as a powerful framework for tasks like image controllable generation and dense prediction. However, existing models often struggle to capture underlyin…