adapter fine-tuning 1cross-modal representation 1few-shot learning 1quantum computing 1vision-language models 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.CL2026
SEER: Long-Context Reasoning via Selective Visual-Text Compression
Jiawei Xu, Zhilin Zhai, Jinrui Fang +6
Long-context reasoning remains computationally expensive for large language models due to the quadratic complexity of attention over text tokens. Visual-text compression offers a p…
cs.CV2026
MQAdapter: Multi-Modal Quantum Adapter for Coarse-to-Fine VLM Fine-tuning
Yumiao Zhao, Bo Jiang, Min Lu +2
The paper introduces MQAdapter, a parameter‑efficient adapter that uses quantum state encoding to refine visual features with top‑K semantic anchors, enabling coarse‑to‑fine fine‑t…