2 papers
cs.CV2026
Language-Instructed Vision Embeddings for Controllable and Generalizable Perception
Chengzhi Mao, Xudong Lin, Wen-Sheng Chu
Vision foundation models are typically trained as static feature extractors, placing the burden of task adaptation onto large downstream models. We propose an alternative paradigm:…
cs.CL2024
Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?
Jinhyuk Lee, Anthony Chen, Zhuyun Dai +16
Long-context language models (LCLMs) have the potential to revolutionize our approach to tasks traditionally reliant on external tools like retrieval systems or databases. Leveragi…