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Extending Llama-3's Context Ten-Fold Overnight
Extending Llama-3's Context Ten-Fold Overnight
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Extending Llama-3's Context Ten-Fold Overnight

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.2404.19553

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2
In-Context Learning with Long-Context Models: An In-Depth Exploration
In-Context Learning with Long-Context Models: An In-Depth Exploration
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In-Context Learning with Long-Context Models: An In-Depth Exploration

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.2405.00200

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3
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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4
Markovian Agents for Truthful Language Modeling
Markovian Agents for Truthful Language Modeling
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Markovian Agents for Truthful Language Modeling

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.2404.18988

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5
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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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
Span-Aggregatable, Contextualized Word Embeddings for Effective Phrase Mining
Span-Aggregatable, Contextualized Word Embeddings for Effective Phrase Mining
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Span-Aggregatable, Contextualized Word Embeddings for Effective Phrase Mining

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.2405.07263

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9
Word-specific tonal realizations in Mandarin
Word-specific tonal realizations in Mandarin
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Word-specific tonal realizations in Mandarin

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.2405.07006

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10
Length-Aware Multi-Kernel Transformer for Long Document Classification
Length-Aware Multi-Kernel Transformer for Long Document Classification
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Length-Aware Multi-Kernel Transformer for Long Document Classification

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.2405.07052

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11
Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology
Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology
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Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology

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.2405.06346

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12
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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13
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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14
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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15
A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named Entity Recognition
A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named Entity Recognition
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A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named Entity Recognition

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.2404.17178

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16
HAFFormer: A Hierarchical Attention-Free Framework for Alzheimer's Disease Detection From Spontaneous Speech
HAFFormer: A Hierarchical Attention-Free Framework for Alzheimer's Disease Detection From Spontaneous Speech
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HAFFormer: A Hierarchical Attention-Free Framework for Alzheimer's Disease Detection From Spontaneous Speech

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.2405.03952

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17
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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18
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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19
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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20
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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