activity
20172026
most citedNo More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence

148 citations · 914 across the 176 of their papers we have counts for

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Showing 2021Show all

9 papers · 1 filter

cs.SE2021

Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We?

Yun Peng, Shuqing Li, Wenwei Gu +4

Application Programming Interfaces (APIs), which encapsulate the implementation of specific functions as interfaces, greatly improve the efficiency of modern software development.…

cs.SE2021★ 4 cited

SemParser: A Semantic Parser for Log Analysis

Yintong Huo, Yuxin Su, Cheryl Lee +1

Logs, being run-time information automatically generated by software, record system events and activities with their timestamps. Before obtaining more insights into the run-time st…

cs.CL2021★ 21 cited

Towards Efficient Post-training Quantization of Pre-trained Language Models

Haoli Bai, Lu Hou, Lifeng Shang +3

Network quantization has gained increasing attention with the rapid growth of large pre-trained language models~(PLMs). However, most existing quantization methods for PLMs follow…

cs.LG2021★ 1 cited

Graph-based Incident Aggregation for Large-Scale Online Service Systems

Zhuangbin Chen, Jinyang Liu, Yuxin Su +5

As online service systems continue to grow in terms of complexity and volume, how service incidents are managed will significantly impact company revenue and user trust. Due to the…

cs.CV2021★ 1 cited

Learning by Distillation: A Self-Supervised Learning Framework for Optical Flow Estimation

Pengpeng Liu, Michael R. Lyu, Irwin King +1

We present DistillFlow, a knowledge distillation approach to learning optical flow. DistillFlow trains multiple teacher models and a student model, where challenging transformation…

cs.CL2021★ 3 cited

Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation

Wenxiang Jiao, Xing Wang, Zhaopeng Tu +3

Self-training has proven effective for improving NMT performance by augmenting model training with synthetic parallel data. The common practice is to construct synthetic data based…