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BBQ: A Hand-Built Bias Benchmark for Question Answering., , , , , , , and . CoRR, (2021)Do Attention Heads in BERT Track Syntactic Dependencies?, , , and . CoRR, (2019)Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?, , , , , , , , and . CoRR, (2020)English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too., , , , , , , and . AACL/IJCNLP, page 557-575. Association for Computational Linguistics, (2020)Clustering Examples in Multi-Dataset Benchmarks with Item Response Theory., , , and . Insights@ACL, page 100-112. Association for Computational Linguistics, (2022)jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models., , , , , , , and . ACL (demo), page 109-117. Association for Computational Linguistics, (2020)Inducing Constituency Trees through Neural Machine Translation., , and . CoRR, (2019)Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs., , , , , , , , , and 6 other author(s). EMNLP/IJCNLP (1), page 2877-2887. Association for Computational Linguistics, (2019)RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation., , , , , , and . ACL (2), page 1476-1490. Association for Computational Linguistics, (2023)Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?, , , , , , , , and . ACL, page 5231-5247. Association for Computational Linguistics, (2020)