glue benchmark

Training compute-optimal transformer encoder models EMNLP 2025 Cost-effective Distillation of Large Language Models ACL 2023 torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLP EMNLP 2023 How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets NAACL 2022 Effect of Visual Extensions on Natural Language Understanding in Vision-and-Language Models EMNLP 2021 How to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding EMNLP 2021 On the Role of Corpus Ordering in Language Modeling EMNLP 2021 Proxy Indicators for the Quality of Open-domain Dialogues EMNLP 2021 Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates ACL 2021 Span Fine-tuning for Pre-trained Language Models EMNLP 2021 BERT-of-Theseus: Compressing BERT by Progressive Module Replacing EMNLP 2020 Dynamic Data Selection for Curriculum Learning via Ability Estimation EMNLP 2020 Human vs. Muppet: A Conservative Estimate of Human Performance on the GLUE Benchmark ACL 2019 Multi-Task Deep Neural Networks for Natural Language Understanding ACL 2019