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r-softmax: Generalized Softmax with Controllable Sparsity Rate., , , and . ICCS (2), volume 14074 of Lecture Notes in Computer Science, page 137-145. Springer, (2023)LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters., , , and . CoRR, (2024)Direction is what you need: Improving Word Embedding Compression in Large Language Models., , , , and . RepL4NLP@ACL-IJCNLP, page 322-330. Association for Computational Linguistics, (2021)Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks., and . EACL, page 2030-2040. Association for Computational Linguistics, (2023)Zero Time Waste: Recycling Predictions in Early Exit Neural Networks., , , , , , and . NeurIPS, page 2516-2528. (2021)Exploiting Transformer Activation Sparsity with Dynamic Inference., , , and . CoRR, (2023)Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models., , , , , and . EACL (Findings), page 1743-1760. Association for Computational Linguistics, (2023)Finding the Optimal Network Depth in Classification Tasks., , , and . ECML/PKDD (3), volume 12459 of Lecture Notes in Computer Science, page 263-278. Springer, (2020)