Graham Neubig
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Speech Recognition and Synthesis, Text Readability and Simplification
Most-Cited Works
- → Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing(2022)3,433 cited
- → A Syntactic Neural Model for General-Purpose Code Generation(2017)530 cited
- → A systematic evaluation of large language models of code(2022)481 cited
- → TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data(2020)406 cited
- → DyNet: The Dynamic Neural Network Toolkit(2017)344 cited
- → When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?(2018)324 cited
- → BARTScore: Evaluating Generated Text as Text Generation(2021)318 cited
- XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation(2020)
- → Weight Poisoning Attacks on Pretrained Models(2020)310 cited