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1
Searching for Carriers of the Diffuse Interstellar Bands Across Disciplines, using Natural Language Processing
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Searching for Carriers of the Diffuse Interstellar Bands Across Disciplines, using Natural Language Processing

Journal of Interdisciplinary Methodologies and Issues in Science, 2023-08, Vol.11 - Thinking interdisciplinarity in practice [Peer Reviewed Journal]

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 ;Distributed under a Creative Commons Attribution 4.0 International License ;EISSN: 2331-8422 ;EISSN: 2430-3038 ;DOI: 10.48550/arxiv.2211.08513

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2
Marking: Visual Grading with Highlighting Errors and Annotating Missing Bits
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Marking: Visual Grading with Highlighting Errors and Annotating Missing Bits

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.2404.14301

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3
AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation
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AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation

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.2311.09521

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4
Is Modularity Transferable? A Case Study through the Lens of Knowledge Distillation
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Is Modularity Transferable? A Case Study through the Lens of Knowledge Distillation

arXiv.org, 2024-03

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.2403.18804

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5
Domain Adaptation in Intent Classification Systems: A Review
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Domain Adaptation in Intent Classification Systems: A Review

arXiv.org, 2024-03

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.2404.14415

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6
Towards Knowledge-Grounded Natural Language Understanding and Generation
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Towards Knowledge-Grounded Natural Language Understanding and Generation

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.2403.15364

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7
Document Author Classification Using Parsed Language Structure
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Document Author Classification Using Parsed Language Structure

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.2403.13253

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8
Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs
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Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs

arXiv.org, 2024-02

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.2401.10065

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9
Text-to-Code Generation with Modality-relative Pre-training
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Text-to-Code Generation with Modality-relative Pre-training

arXiv.org, 2024-02

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.2402.05783

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10
Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns
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Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns

arXiv.org, 2024-01

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.2310.01749

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11
Temporal Blind Spots in Large Language Models
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Temporal Blind Spots in Large Language Models

arXiv.org, 2024-01

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.2401.12078

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12
Cheetah: Natural Language Generation for 517 African Languages
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Cheetah: Natural Language Generation for 517 African Languages

arXiv.org, 2024-01

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.2401.01053

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13
A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models
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A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

arXiv.org, 2023-12

2023. 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.2303.10420

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14
Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling
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Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling

arXiv.org, 2023-12

2023. 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.2308.06077

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15
Relation Extraction Model Based on Semantic Enhancement Mechanism
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Relation Extraction Model Based on Semantic Enhancement Mechanism

arXiv.org, 2023-11

2023. 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.2311.02564

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16
Text-Transport: Toward Learning Causal Effects of Natural Language
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Text-Transport: Toward Learning Causal Effects of Natural Language

arXiv.org, 2023-10

2023. 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.2310.20697

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17
Investigating Table-to-Text Generation Capabilities of LLMs in Real-World Information Seeking Scenarios
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Investigating Table-to-Text Generation Capabilities of LLMs in Real-World Information Seeking Scenarios

arXiv.org, 2023-10

2023. 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.2305.14987

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18
Exploring the Boundaries of GPT-4 in Radiology
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Exploring the Boundaries of GPT-4 in Radiology

arXiv.org, 2023-10

2023. 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.2310.14573

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19
Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding
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Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding

arXiv.org, 2023-10

2023. 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.2310.14676

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20
Antarlekhaka: A Comprehensive Tool for Multi-task Natural Language Annotation
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Antarlekhaka: A Comprehensive Tool for Multi-task Natural Language Annotation

arXiv.org, 2023-10

2023. 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.2310.07826

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