22 citations · 22 across the 3 of their papers we have counts for
3 papers
cs.CL2025
EFIM: Efficient Serving of LLMs for Infilling Tasks with Improved KV Cache Reuse
Tianyu Guo, Hande Dong, Yichong Leng +4
Large language models (LLMs) are often used for infilling tasks, which involve predicting or generating missing information in a given text. These tasks typically require multiple…
cs.SE2024
Scaling Laws Behind Code Understanding Model
Jiayi Lin, Hande Dong, Yutao Xie +1
The scaling law is becoming a fundamental law in many machine learning areas. That is, test error falls off with the power law when increasing training data, model size, and comput…
cs.SE2023★ 22 cited
Survey of Code Search Based on Deep Learning
Yutao Xie, Jiayi Lin, Hande Dong +2
Code writing is repetitive and predictable, inspiring us to develop various code intelligence techniques. This survey focuses on code search, that is, to retrieve code that matches…