activity
20192022
most citedPanGu-Coder: Program Synthesis with Function-Level Language Modeling

24 citations · 52 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2022★ 2 cited

MultiCoder: Multi-Programming-Lingual Pre-Training for Low-Resource Code Completion

Zi Gong, Yinpeng Guo, Pingyi Zhou +3

Code completion is a valuable topic in both academia and industry. Recently, large-scale mono-programming-lingual (MonoPL) pre-training models have been proposed to boost the perfo…

cs.LG2022★ 24 cited

PanGu-Coder: Program Synthesis with Function-Level Language Modeling

Fenia Christopoulou, Gerasimos Lampouras, Milan Gritta +19

We present PanGu-Coder, a pretrained decoder-only language model adopting the PanGu-Alpha architecture for text-to-code generation, i.e. the synthesis of programming language solut…

cs.CL2022

FreeTransfer-X: Safe and Label-Free Cross-Lingual Transfer from Off-the-Shelf Models

Yinpeng Guo, Liangyou Li, Xin Jiang +1

Cross-lingual transfer (CLT) is of various applications. However, labeled cross-lingual corpus is expensive or even inaccessible, especially in the fields where labels are private,…

cs.CL2021★ 1 cited

Learning Multilingual Representation for Natural Language Understanding with Enhanced Cross-Lingual Supervision

Yinpeng Guo, Liangyou Li, Xin Jiang +1

Recently, pre-training multilingual language models has shown great potential in learning multilingual representation, a crucial topic of natural language processing. Prior works g…

cs.CL2021★ 10 cited

Training Multilingual Pre-trained Language Model with Byte-level Subwords

Junqiu Wei, Qun Liu, Yinpeng Guo +1

The pre-trained language models have achieved great successes in various natural language understanding (NLU) tasks due to its capacity to capture the deep contextualized informati…

cs.CL2019★ 15 cited

Zero-Shot Paraphrase Generation with Multilingual Language Models

Yinpeng Guo, Yi Liao, Xin Jiang +3

Leveraging multilingual parallel texts to automatically generate paraphrases has drawn much attention as size of high-quality paraphrase corpus is limited. Round-trip translation,…