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Beyond Binary Classification: A Fine-Grained Safety Dataset for Large Language Models
Beyond Binary Classification: A Fine-Grained Safety Dataset for Large Language Models
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Beyond Binary Classification: A Fine-Grained Safety Dataset for Large Language Models

IEEE access, 2024, Vol.12, p.64717-64726 [Peer Reviewed Journal]

EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2024.3393245 ;CODEN: IAECCG

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2
Truth-value judgment in language models: belief directions are context sensitive
Truth-value judgment in language models: belief directions are context sensitive
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Truth-value judgment in language models: belief directions are context sensitive

arXiv.org, 2024-04

2024. This work is published under http://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/publicdomain/zero/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2404.18865

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3
Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning
Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning
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Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning

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.2404.16807

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4
Studying Large Language Model Behaviors Under Realistic Knowledge Conflicts
Studying Large Language Model Behaviors Under Realistic Knowledge Conflicts
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Studying Large Language Model Behaviors Under Realistic Knowledge Conflicts

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.2404.16032

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5
FlashBack:Efficient Retrieval-Augmented Language Modeling for Long Context Inference
FlashBack:Efficient Retrieval-Augmented Language Modeling for Long Context Inference
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FlashBack:Efficient Retrieval-Augmented Language Modeling for Long Context Inference

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.2405.04065

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6
HMT: Hierarchical Memory Transformer for Long Context Language Processing
HMT: Hierarchical Memory Transformer for Long Context Language Processing
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HMT: Hierarchical Memory Transformer for Long Context Language Processing

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.2405.06067

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7
A Transformer with Stack Attention
A Transformer with Stack Attention
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A Transformer with Stack Attention

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.2405.04515

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8
Can Language Models Explain Their Own Classification Behavior?
Can Language Models Explain Their Own Classification Behavior?
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Can Language Models Explain Their Own Classification Behavior?

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.2405.07436

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9
Linearizing Large Language Models
Linearizing Large Language Models
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Linearizing Large Language Models

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.2405.06640

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10
XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples
XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples
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XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples

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.2405.05116

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11
P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language Models
P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language Models
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P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language Models

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.2405.04960

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12
Locally Differentially Private In-Context Learning
Locally Differentially Private In-Context Learning
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Locally Differentially Private In-Context Learning

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.2405.04032

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13
Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense
Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense
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Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense

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.2405.04655

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14
Long Context Alignment with Short Instructions and Synthesized Positions
Long Context Alignment with Short Instructions and Synthesized Positions
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Long Context Alignment with Short Instructions and Synthesized Positions

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.2405.03939

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15
Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation
Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation
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Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation

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.2405.03085

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16
In Situ AI Prototyping: Infusing Multimodal Prompts into Mobile Settings with MobileMaker
In Situ AI Prototyping: Infusing Multimodal Prompts into Mobile Settings with MobileMaker
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In Situ AI Prototyping: Infusing Multimodal Prompts into Mobile Settings with MobileMaker

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.2405.03806

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17
Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding
Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding
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Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding

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.2405.02750

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18
CoE-SQL: In-Context Learning for Multi-Turn Text-to-SQL with Chain-of-Editions
CoE-SQL: In-Context Learning for Multi-Turn Text-to-SQL with Chain-of-Editions
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CoE-SQL: In-Context Learning for Multi-Turn Text-to-SQL with Chain-of-Editions

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.2405.02712

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19
In-Context Symbolic Regression: Leveraging Language Models for Function Discovery
In-Context Symbolic Regression: Leveraging Language Models for Function Discovery
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In-Context Symbolic Regression: Leveraging Language Models for Function Discovery

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.2404.19094

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20
Simplifying Multimodality: Unimodal Approach to Multimodal Challenges in Radiology with General-Domain Large Language Model
Simplifying Multimodality: Unimodal Approach to Multimodal Challenges in Radiology with General-Domain Large Language Model
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Simplifying Multimodality: Unimodal Approach to Multimodal Challenges in Radiology with General-Domain Large Language Model

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.2405.01591

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Results 1 - 20 of 47  for All Library Resources

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