Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Article
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Transformer with Memory ReplayarXiv.org, 2022-052022. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-nd/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2205.09869Full text available |
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2 |
Material Type: Article
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Outlier Suppression: Pushing the Limit of Low-bit Transformer Language ModelsarXiv.org, 2022-092022. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2209.13325Full text available |
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3 |
Material Type: Article
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Comprehensive Study on German Language Models for Clinical and Biomedical Text UnderstandingarXiv.org, 2024-052024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-nd/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2404.05694Full text available |
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4 |
Material Type: Article
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From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property PredictionarXiv.org, 2024-052024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2310.16802Full text available |
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5 |
Material Type: Article
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Assessing Adversarial Robustness of Large Language Models: An Empirical StudyarXiv.org, 2024-052024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.02764Full text available |
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6 |
Material Type: Article
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Conformal Prediction for Natural Language Processing: A SurveyarXiv.org, 2024-052024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.01976Full text available |
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7 |
Material Type: Article
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Early Transformers: A study on Efficient Training of Transformer Models through Early-Bird Lottery TicketsarXiv.org, 2024-052024. This work is published under http://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-sa/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.02353Full text available |
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8 |
Material Type: Article
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A Survey on Deep Active Learning: Recent Advances and New FrontiersarXiv.org, 2024-052024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.00334Full text available |
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9 |
Material Type: Article
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Overcoming Knowledge Barriers: Online Imitation Learning from Observation with Pretrained World ModelsarXiv.org, 2024-042024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2404.18896Full text available |
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10 |
Material Type: Article
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Is Mamba Capable of In-Context Learning?arXiv.org, 2024-042024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2402.03170Full text available |
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11 |
Material Type: Article
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FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph LearningarXiv.org, 2022-082022. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2204.05562Full text available |
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12 |
Material Type: Article
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Augmenting NER Datasets with LLMs: Towards Automated and Refined AnnotationarXiv.org, 2024-032024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2404.01334Full text available |
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13 |
Material Type: Article
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Odor Descriptor Understanding through PromptingarXiv.org, 2022-052022. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2205.03719Full text available |
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14 |
Material Type: Article
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Graph Self-Supervised Learning: A SurveyarXiv.org, 2022-052022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2103.00111Full text available |
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15 |
Material Type: Article
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The Effect of Model Size on Worst-Group GeneralizationarXiv.org, 2021-122021. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2112.04094Full text available |
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16 |
Material Type: Article
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Zero-shot LLM-guided Counterfactual Generation for TextarXiv.org, 2024-052024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.04793Full text available |
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17 |
Material Type: Article
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Refining Joint Text and Source Code Embeddings for Retrieval Task with Parameter-Efficient Fine-TuningarXiv.org, 2024-052024. This work is published under http://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-sa/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.04126Full text available |
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18 |
Material Type: Article
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Revisiting character-level adversarial attacksarXiv.org, 2024-052024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.04346Full text available |
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19 |
Material Type: Article
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NOVA: NoC-based Vector Unit for Mapping Attention Layers on a CNN AcceleratorarXiv.org, 2024-052024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.04206Full text available |
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20 |
Material Type: Article
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Exploring the Frontiers of Softmax: Provable Optimization, Applications in Diffusion Model, and BeyondarXiv.org, 2024-052024. This work is published under http://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-sa/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.03251Full text available |