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ALLSH: Active Learning Guided by Local Sensitivity and Hardness., , , , , and . NAACL-HLT (Findings), page 1328-1342. Association for Computational Linguistics, (2022)Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective., , , , and . CoRR, (2023)LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation., , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 20336-20350. PMLR, (2023)Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning., , , , , , and . ICLR, OpenReview.net, (2023)PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance., , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 26809-26823. PMLR, (2022)DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization., , , , , and . ACL (1), page 1368-1386. Association for Computational Linguistics, (2023)PROM: A Phrase-level Copying Mechanism with Pre-training for Abstractive Summarization., , , , and . LREC/COLING, page 13103-13119. ELRA and ICCL, (2024)Diffusion-GAN: Training GANs with Diffusion, , , , and . (2023)Adversarial Training for Large Neural Language Models., , , , , , and . CoRR, (2020)NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned., , , , , , , , , and 43 other author(s). NeurIPS (Competition and Demos), volume 133 of Proceedings of Machine Learning Research, page 86-111. PMLR, (2020)