3 papers
cs.LG2026
Lever: Speculative LLM Inference on Smartphones
Tuowei Wang, Fengzu Li, Yanfan Sun +2
Large language models (LLMs) are increasingly needed for interactive mobile applications, but high-quality models exceed the limited DRAM available on smartphones. Flash storage ca…
cs.DC2025
DynaKV: Enabling Accurate and Efficient Long-Sequence LLM Decoding on Smartphones
Tuowei Wang, Minxing Huang, Fengzu Li +3
As the demand for human-like reasoning, multi-turn dialogues, and long-form responses grows, large language models (LLMs) are increasingly expected to support efficient and effecti…
cs.CL2025
DataSciBench: An LLM Agent Benchmark for Data Science
Dan Zhang, Sining Zhoubian, Min Cai +7
This paper presents DataSciBench, a comprehensive benchmark for evaluating Large Language Model (LLM) capabilities in data science. Recent related benchmarks have primarily focused…