Sequence-to-sequence Language Modeling
1 papers with code • 50 benchmarks • 25 datasets
This task has no description! Would you like to contribute one?
Benchmarks
These leaderboards are used to track progress in Sequence-to-sequence Language Modeling
Trend | Dataset | Best Model | Paper | Code | Compare |
---|
Most implemented papers
Assemble Foundation Models for Automatic Code Summarization
Thereby, we propose a flexible and robust approach for automatic code summarization, based on neural models.