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EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference., , , , , , , , , and 1 other author(s). MICRO, page 830-844. ACM, (2021)Low-Complexity Probing via Finding Subnetworks., and . NAACL-HLT, page 960-966. Association for Computational Linguistics, (2021)Learning from others' mistakes: Avoiding dataset biases without modeling them., , , and . CoRR, (2020)BLOOM: A 176B-Parameter Open-Access Multilingual Language Model., , , , , , , , , and 39 other author(s). CoRR, (2022)The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources., , , , , , , , , and 13 other author(s). CoRR, (2024)Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning., , , and . EMNLP (1), page 9063-9074. Association for Computational Linguistics, (2021)Transformers: State-of-the-Art Natural Language Processing., , , , , , , , , and 12 other author(s). EMNLP (Demos), page 38-45. Association for Computational Linguistics, (2020)Multitask Prompted Training Enables Zero-Shot Task Generalization., , , , , , , , , and 30 other author(s). ICLR, OpenReview.net, (2022)Learning from others' mistakes: Avoiding dataset biases without modeling them., , , and . ICLR, OpenReview.net, (2021)DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter, , , and . (Oct 2, 2019)