1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.SE2026
AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning
Zepeng Li, Jie Ren, Zhanyong Tang +2
Large Language Models (LLMs) show promise for code compilation tasks, but applying them to runtime performance tuning is difficult due to complex microarchitectural effects and noi…
cs.CR2025★ 1 cited
Accelerating Private Large Transformers Inference through Fine-grained Collaborative Computation
Yuntian Chen, Zhanyong Tang, Tianpei Lu +3
Homomorphic encryption (HE) and secret sharing (SS) enable computations on encrypted data, providing significant privacy benefits for large transformer-based models (TBM) in sensit…