Yada Pruksachatkun
4 papers in the PaperMetrix corpus
Papers by this author
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SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
2019 · arXiv (Cornell University)
In the last year, new models and methods for pretraining and transfer learning have driven striking performance improvements across a range of language understanding tasks. The GLUE benchmark, introduced a little over one year ago, …
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Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?
2020 · arXiv (Cornell University)
While pretrained models such as BERT have shown large gains across natural language understanding tasks, their performance can be improved by further training the model on a data-rich intermediate task, before fine-tuning it on a …
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Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?
2020
Yada Pruksachatkun, Jason Phang, Haokun Liu, Phu Mon Htut, Xiaoyi Zhang, Richard Yuanzhe Pang, Clara Vania, Katharina Kann, Samuel R. Bowman. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 2020.
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BOLD
2021
Recent advances in deep learning techniques have enabled machines to generate cohesive open-ended text when prompted with a sequence of words as context. While these models now empower many downstream applications from conversation bots to …