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1
Transformer with Memory Replay
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Transformer with Memory Replay

arXiv.org, 2022-05

2022. 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.2205.09869

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2
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models
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Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models

arXiv.org, 2022-09

2022. 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.2209.13325

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3
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding
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Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding

arXiv.org, 2024-05

2024. 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.2404.05694

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4
From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction
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From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction

arXiv.org, 2024-05

2024. 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.2310.16802

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5
Assessing Adversarial Robustness of Large Language Models: An Empirical Study
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Assessing Adversarial Robustness of Large Language Models: An Empirical Study

arXiv.org, 2024-05

2024. 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.2405.02764

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6
Conformal Prediction for Natural Language Processing: A Survey
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Conformal Prediction for Natural Language Processing: A Survey

arXiv.org, 2024-05

2024. 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.2405.01976

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7
Early Transformers: A study on Efficient Training of Transformer Models through Early-Bird Lottery Tickets
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Early Transformers: A study on Efficient Training of Transformer Models through Early-Bird Lottery Tickets

arXiv.org, 2024-05

2024. 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.2405.02353

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8
A Survey on Deep Active Learning: Recent Advances and New Frontiers
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A Survey on Deep Active Learning: Recent Advances and New Frontiers

arXiv.org, 2024-05

2024. 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.2405.00334

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9
Overcoming Knowledge Barriers: Online Imitation Learning from Observation with Pretrained World Models
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Overcoming Knowledge Barriers: Online Imitation Learning from Observation with Pretrained World Models

arXiv.org, 2024-04

2024. 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.2404.18896

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10
Is Mamba Capable of In-Context Learning?
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Is Mamba Capable of In-Context Learning?

arXiv.org, 2024-04

2024. 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.2402.03170

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11
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning
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FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning

arXiv.org, 2022-08

2022. 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.2204.05562

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12
Augmenting NER Datasets with LLMs: Towards Automated and Refined Annotation
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Augmenting NER Datasets with LLMs: Towards Automated and Refined Annotation

arXiv.org, 2024-03

2024. 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.2404.01334

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13
Odor Descriptor Understanding through Prompting
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Odor Descriptor Understanding through Prompting

arXiv.org, 2022-05

2022. 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.2205.03719

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14
Graph Self-Supervised Learning: A Survey
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Graph Self-Supervised Learning: A Survey

arXiv.org, 2022-05

2022. 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.2103.00111

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15
The Effect of Model Size on Worst-Group Generalization
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The Effect of Model Size on Worst-Group Generalization

arXiv.org, 2021-12

2021. 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.2112.04094

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16
Zero-shot LLM-guided Counterfactual Generation for Text
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Zero-shot LLM-guided Counterfactual Generation for Text

arXiv.org, 2024-05

2024. 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.2405.04793

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17
Refining Joint Text and Source Code Embeddings for Retrieval Task with Parameter-Efficient Fine-Tuning
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Article
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Refining Joint Text and Source Code Embeddings for Retrieval Task with Parameter-Efficient Fine-Tuning

arXiv.org, 2024-05

2024. 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.2405.04126

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18
Revisiting character-level adversarial attacks
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Revisiting character-level adversarial attacks

arXiv.org, 2024-05

2024. 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.2405.04346

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19
NOVA: NoC-based Vector Unit for Mapping Attention Layers on a CNN Accelerator
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Article
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NOVA: NoC-based Vector Unit for Mapping Attention Layers on a CNN Accelerator

arXiv.org, 2024-05

2024. 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.2405.04206

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20
Exploring the Frontiers of Softmax: Provable Optimization, Applications in Diffusion Model, and Beyond
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Article
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Exploring the Frontiers of Softmax: Provable Optimization, Applications in Diffusion Model, and Beyond

arXiv.org, 2024-05

2024. 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.2405.03251

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