3 papers
cs.SE2026
TypePro: Boosting LLM-Based Type Inference via Inter-Procedural Slicing
Teyu Lin, Minghao Fan, Huaxun Huang +2
Dynamic languages (such as Python and JavaScript) offer flexibility and simplified type handling for programming, but this can also lead to an increase in type-related errors and a…
cs.PF2026
Characterize LSM-tree Compaction Performance via On-Device LLM Inference
Jiabiao Ding, Yina Lv, Qiao Li +2
Modern key-value storage engines built on Log-Structured Merge-trees (LSM-trees), such as RocksDB and LevelDB, rely heavily on the performance of their compaction operations, which…
cs.AR2025
Fletch: File-System Metadata Caching in Programmable Switches
Qingxiu Liu, Jiazhen Cai, Siyuan Sheng +4
Fast and scalable metadata management across multiple metadata servers is crucial for distributed file systems to handle numerous files and directories. Client-side caching of freq…