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Collections including paper arxiv:1804.07461

PEFT-Evaluation Datasets

about 1 month ago

Datasets: A Community Library for Natural Language Processing

Paper • 2109.02846 • Published Sep 7, 2021 • 14
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Paper • 1804.07461 • Published Apr 20, 2018 • 4
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Paper • 2102.04664 • Published Feb 9, 2021 • 2

Papers - Benchmarks - Text - Glue

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Paper • 1804.07461 • Published Apr 20, 2018 • 4

Papers - Benchmarks

The FinBen: An Holistic Financial Benchmark for Large Language Models

Paper • 2402.12659 • Published Feb 20, 2024 • 23
Long-context LLMs Struggle with Long In-context Learning

Paper • 2404.02060 • Published Apr 2, 2024 • 37
Challenge LLMs to Reason About Reasoning: A Benchmark to Unveil Cognitive Depth in LLMs

Paper • 2312.17080 • Published Dec 28, 2023 • 1
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Paper • 1804.07461 • Published Apr 20, 2018 • 4

Papers - University - University of Washington

The Curious Case of Neural Text Degeneration

Paper • 1904.09751 • Published Apr 22, 2019 • 3
Getting it Right: Improving Spatial Consistency in Text-to-Image Models

Paper • 2404.01197 • Published Apr 1, 2024 • 31
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Paper • 1905.10044 • Published May 24, 2019 • 2
PIQA: Reasoning about Physical Commonsense in Natural Language

Paper • 1911.11641 • Published Nov 26, 2019 • 5

Interesting AI papers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 108
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 25
Universal Language Model Fine-tuning for Text Classification

Paper • 1801.06146 • Published Jan 18, 2018 • 8
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 18

A collection of arXiv papers from Chip Huyen's AI Engineering organized by chapter and ordered by when each appears in the book.

Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning

Paper • 2211.04325 • Published Oct 26, 2022 • 1
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 25
On the Opportunities and Risks of Foundation Models

Paper • 2108.07258 • Published Aug 16, 2021 • 2
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Paper • 2204.07705 • Published Apr 16, 2022 • 2

Papers - Benchmarks - Text - General Language Understanding

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Paper • 1804.07461 • Published Apr 20, 2018 • 4

Papers - University - New York University

MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection

Paper • 2403.19888 • Published Mar 29, 2024 • 12
Measuring Style Similarity in Diffusion Models

Paper • 2404.01292 • Published Apr 1, 2024 • 17
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Paper • 1804.07461 • Published Apr 20, 2018 • 4
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24, 2024 • 15

Papers - Google

Lumiere: A Space-Time Diffusion Model for Video Generation

Paper • 2401.12945 • Published Jan 23, 2024 • 86
Long-form factuality in large language models

Paper • 2403.18802 • Published Mar 27, 2024 • 26
ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion

Paper • 2403.18818 • Published Mar 27, 2024 • 28
TC4D: Trajectory-Conditioned Text-to-4D Generation

Paper • 2403.17920 • Published Mar 26, 2024 • 18

Machine Learning and Neural Network papers 📜

SMOTE: Synthetic Minority Over-sampling Technique

Paper • 1106.1813 • Published Jun 9, 2011 • 1
Scikit-learn: Machine Learning in Python

Paper • 1201.0490 • Published Jan 2, 2012 • 1
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Paper • 1406.1078 • Published Jun 3, 2014 • 1
Distributed Representations of Sentences and Documents

Paper • 1405.4053 • Published May 16, 2014

PEFT-Evaluation Datasets

about 1 month ago

Datasets: A Community Library for Natural Language Processing

Paper • 2109.02846 • Published Sep 7, 2021 • 14
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Paper • 1804.07461 • Published Apr 20, 2018 • 4
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Paper • 2102.04664 • Published Feb 9, 2021 • 2

A collection of arXiv papers from Chip Huyen's AI Engineering organized by chapter and ordered by when each appears in the book.

Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning

Paper • 2211.04325 • Published Oct 26, 2022 • 1
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 25
On the Opportunities and Risks of Foundation Models

Paper • 2108.07258 • Published Aug 16, 2021 • 2
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Paper • 2204.07705 • Published Apr 16, 2022 • 2

Papers - Benchmarks - Text - Glue

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Paper • 1804.07461 • Published Apr 20, 2018 • 4

Papers - Benchmarks - Text - General Language Understanding

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Paper • 1804.07461 • Published Apr 20, 2018 • 4

Papers - Benchmarks

The FinBen: An Holistic Financial Benchmark for Large Language Models

Paper • 2402.12659 • Published Feb 20, 2024 • 23
Long-context LLMs Struggle with Long In-context Learning

Paper • 2404.02060 • Published Apr 2, 2024 • 37
Challenge LLMs to Reason About Reasoning: A Benchmark to Unveil Cognitive Depth in LLMs

Paper • 2312.17080 • Published Dec 28, 2023 • 1
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Paper • 1804.07461 • Published Apr 20, 2018 • 4

Papers - University - New York University

MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection

Paper • 2403.19888 • Published Mar 29, 2024 • 12
Measuring Style Similarity in Diffusion Models

Paper • 2404.01292 • Published Apr 1, 2024 • 17
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Paper • 1804.07461 • Published Apr 20, 2018 • 4
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24, 2024 • 15

Papers - University - University of Washington

The Curious Case of Neural Text Degeneration

Paper • 1904.09751 • Published Apr 22, 2019 • 3
Getting it Right: Improving Spatial Consistency in Text-to-Image Models

Paper • 2404.01197 • Published Apr 1, 2024 • 31
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Paper • 1905.10044 • Published May 24, 2019 • 2
PIQA: Reasoning about Physical Commonsense in Natural Language

Paper • 1911.11641 • Published Nov 26, 2019 • 5

Papers - Google

Lumiere: A Space-Time Diffusion Model for Video Generation

Paper • 2401.12945 • Published Jan 23, 2024 • 86
Long-form factuality in large language models

Paper • 2403.18802 • Published Mar 27, 2024 • 26
ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion

Paper • 2403.18818 • Published Mar 27, 2024 • 28
TC4D: Trajectory-Conditioned Text-to-4D Generation

Paper • 2403.17920 • Published Mar 26, 2024 • 18

Interesting AI papers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 108
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 25
Universal Language Model Fine-tuning for Text Classification

Paper • 1801.06146 • Published Jan 18, 2018 • 8
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 18

Machine Learning and Neural Network papers 📜

SMOTE: Synthetic Minority Over-sampling Technique

Paper • 1106.1813 • Published Jun 9, 2011 • 1
Scikit-learn: Machine Learning in Python

Paper • 1201.0490 • Published Jan 2, 2012 • 1
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Paper • 1406.1078 • Published Jun 3, 2014 • 1
Distributed Representations of Sentences and Documents

Paper • 1405.4053 • Published May 16, 2014

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