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cs.CV2026
MapSR: Prompt-Driven Land Cover Map Super-Resolution via Vision Foundation Models
Ruiqi Wang, Qi Yu, Jie Ma +1
High-resolution (HR) land-cover mapping is often constrained by the high cost of dense HR annotations. We revisit this problem from the perspective of map super-resolution, which e…
cs.SE2026
On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation
Jia Feng, Zhanyue Qin, Cuiyun Gao +4
Repository-level code intelligence tasks require large language models (LLMs) to process long, multi-file contexts. Such inputs introduce three challenges: crucial context can be o…