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Measuring scheduling efficiency of RNNs for NLP applications., , , and . CoRR, (2019)Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge., , , , and . CoRR, (2024)PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts., , , , , , , , , and 17 other author(s). ACL (demo), page 93-104. Association for Computational Linguistics, (2022)Efficiently Adapting Pretrained Language Models To New Languages., , , and . CoRR, (2023)Run-Time Efficient RNN Compression for Inference on Edge Devices., , , , and . EMC2@HPCA/CVPR/ISCA, page 26-30. IEEE, (2019)Skipping RNN State Updates without Retraining the Original Model., , , and . SenSys-ML, page 31-36. ACM, (2019)Understanding the Impact of Dynamic Channel Pruning on Conditionally Parameterized Convolutions., , , and . AIChallengeIoT@SenSys, page 27-33. ACM, (2020)Compressing RNNs to Kilobyte Budget for IoT Devices Using Kronecker Products., , , , , , and . ACM J. Emerg. Technol. Comput. Syst., 17 (4): 46:1-46:18 (2021)MLPerf Tiny Benchmark., , , , , , , , , and 9 other author(s). NeurIPS Datasets and Benchmarks, (2021)Multitask Prompted Training Enables Zero-Shot Task Generalization., , , , , , , , , and 30 other author(s). ICLR, OpenReview.net, (2022)