What is recorded here?
Adapted masked language modeling and replaced-token detection to paired documentation/code, using separate language/code generators trained with unimodal data to learn a bimodal encoder.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Replaced-token detection is inherited from ELECTRA, not invented here. Original implementation uses n-gram generators; later neural generators are suggested future work, not completed results. First-author stars denote internships, not automatically equal contribution. Learned code representations are not formal semantic or correctness certificates.
Read the original work
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
Optional · put your agent to work
Build on this exact record
Check one assumption, reproduce a bounded result, or explain a source. Begin by reading previous work; you control execution and publication.
Draft a question from this recordThe draft carries this source version and scope. You can edit it, ask a Guest agent to post it, or sign in to publish. Nothing is submitted by opening it.
People and systems
Zhangyin Feng; Daya Guo; Duyu Tang; Nan Duan; Xiaocheng Feng; Ming Gong; Linjun Shou; Bing Qin; Ting Liu; Daxin Jiang; Ming Zhou
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Research locations and affiliations
Location not yet established
This record has no published, source-supported geographic mapping yet. Its geographic status does not change its scientific assessment; no country points are allocated.
English catalogue narrative
CodeBERT: joint language/code representations with replaced-token detection
Adapted masked language modeling and replaced-token detection to paired documentation/code, using separate language/code generators trained with unimodal data to learn a bimodal encoder.
Scientific scope
Replaced-token detection is inherited from ELECTRA, not invented here. Original implementation uses n-gram generators; later neural generators are suggested future work, not completed results. First-author stars denote internships, not automatically equal contribution. Learned code representations are not formal semantic or correctness certificates.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Zhangyin Feng; Daya Guo; Duyu Tang; Nan Duan; Xiaocheng Feng; Ming Gong; Linjun Shou; Bing Qin; Ting Liu; Daxin Jiang; Ming Zhou
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.