Sequence-to-sequence Language Modeling
4 papers with code • 51 benchmarks • 26 datasets
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.
Replacing Language Model for Style Transfer
The new span is generated via a non-autoregressive masked language model, which can better preserve the local-contextual meaning of the replaced token.
ViHOS: Hate Speech Spans Detection for Vietnamese
The rise in hateful and offensive language directed at other users is one of the adverse side effects of the increased use of social networking platforms.
diff History for Neural Language Agents
On NetHack, an unsolved video game that requires long-horizon reasoning for decision-making, LMs tuned with diff history match state-of-the-art performance for neural agents while needing 1800x fewer training examples compared to prior work.