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Collections including paper arxiv:2107.03374

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 • 29
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

Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20
Evaluating Large Language Models Trained on Code

Paper • 2107.03374 • Published Jul 7, 2021 • 10
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24
GPT-4 Technical Report

Paper • 2303.08774 • Published Mar 15, 2023 • 7

StarCoder 2 and The Stack v2: The Next Generation

Paper • 2402.19173 • Published Feb 29, 2024 • 157
Evaluating Large Language Models Trained on Code

Paper • 2107.03374 • Published Jul 7, 2021 • 10
A Hazard Analysis Framework for Code Synthesis Large Language Models

Paper • 2207.14157 • Published Jul 25, 2022 • 2

Code LMs Evaluation

Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code

Paper • 2311.07989 • Published Nov 14, 2023 • 26
SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Paper • 2310.06770 • Published Oct 10, 2023 • 12
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution

Paper • 2401.03065 • Published Jan 5, 2024 • 11
Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming

Paper • 2402.14261 • Published Feb 22, 2024 • 10

gemma_knowledg_tree

Gemini: A Family of Highly Capable Multimodal Models

Paper • 2312.11805 • Published Dec 19, 2023 • 51
Measuring Massive Multitask Language Understanding

Paper • 2009.03300 • Published Sep 7, 2020 • 3
HellaSwag: Can a Machine Really Finish Your Sentence?

Paper • 1905.07830 • Published May 19, 2019 • 9
PIQA: Reasoning about Physical Commonsense in Natural Language

Paper • 1911.11641 • Published Nov 26, 2019 • 5

Natural Language Processing and Large Language Models 💬

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
Sequence to Sequence Learning with Neural Networks

Paper • 1409.3215 • Published Sep 10, 2014 • 4
Neural Machine Translation by Jointly Learning to Align and Translate

Paper • 1409.0473 • Published Sep 1, 2014 • 7

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Paper • 2503.14734 • Published Mar 18, 2025 • 8
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

Paper • 2401.02117 • Published Jan 4, 2024 • 33
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Paper • 2506.01844 • Published Jun 2, 2025 • 161
Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding

Paper • 2506.16035 • Published Jun 19, 2025 • 89

LLM Tech Report

Qwen2.5 Technical Report

Paper • 2412.15115 • Published Dec 19, 2024 • 380
Qwen2.5-Coder Technical Report

Paper • 2409.12186 • Published Sep 18, 2024 • 157
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Paper • 2409.12122 • Published Sep 18, 2024 • 5
Qwen2.5-VL Technical Report

Paper • 2502.13923 • Published Feb 19, 2025 • 219

Papers - Testing a Coding Model

Evaluating Large Language Models Trained on Code

Paper • 2107.03374 • Published Jul 7, 2021 • 10

Models - Coding

dphn/dolphin-2.6-mistral-7b-dpo-laser

Text Generation • 7B • Updated Mar 4, 2024 • 140 • 120
Evaluating Large Language Models Trained on Code

Paper • 2107.03374 • Published Jul 7, 2021 • 10
CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Paper • 2002.08155 • Published Feb 19, 2020 • 2
code2seq: Generating Sequences from Structured Representations of Code

Paper • 1808.01400 • Published Aug 4, 2018 • 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 • 29
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

Natural Language Processing and Large Language Models 💬

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
Sequence to Sequence Learning with Neural Networks

Paper • 1409.3215 • Published Sep 10, 2014 • 4
Neural Machine Translation by Jointly Learning to Align and Translate

Paper • 1409.0473 • Published Sep 1, 2014 • 7

Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20
Evaluating Large Language Models Trained on Code

Paper • 2107.03374 • Published Jul 7, 2021 • 10
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24
GPT-4 Technical Report

Paper • 2303.08774 • Published Mar 15, 2023 • 7

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Paper • 2503.14734 • Published Mar 18, 2025 • 8
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

Paper • 2401.02117 • Published Jan 4, 2024 • 33
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Paper • 2506.01844 • Published Jun 2, 2025 • 161
Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding

Paper • 2506.16035 • Published Jun 19, 2025 • 89

StarCoder 2 and The Stack v2: The Next Generation

Paper • 2402.19173 • Published Feb 29, 2024 • 157
Evaluating Large Language Models Trained on Code

Paper • 2107.03374 • Published Jul 7, 2021 • 10
A Hazard Analysis Framework for Code Synthesis Large Language Models

Paper • 2207.14157 • Published Jul 25, 2022 • 2

LLM Tech Report

Qwen2.5 Technical Report

Paper • 2412.15115 • Published Dec 19, 2024 • 380
Qwen2.5-Coder Technical Report

Paper • 2409.12186 • Published Sep 18, 2024 • 157
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Paper • 2409.12122 • Published Sep 18, 2024 • 5
Qwen2.5-VL Technical Report

Paper • 2502.13923 • Published Feb 19, 2025 • 219

Code LMs Evaluation

Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code

Paper • 2311.07989 • Published Nov 14, 2023 • 26
SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Paper • 2310.06770 • Published Oct 10, 2023 • 12
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution

Paper • 2401.03065 • Published Jan 5, 2024 • 11
Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming

Paper • 2402.14261 • Published Feb 22, 2024 • 10

Papers - Testing a Coding Model

Evaluating Large Language Models Trained on Code

Paper • 2107.03374 • Published Jul 7, 2021 • 10

gemma_knowledg_tree

Gemini: A Family of Highly Capable Multimodal Models

Paper • 2312.11805 • Published Dec 19, 2023 • 51
Measuring Massive Multitask Language Understanding

Paper • 2009.03300 • Published Sep 7, 2020 • 3
HellaSwag: Can a Machine Really Finish Your Sentence?

Paper • 1905.07830 • Published May 19, 2019 • 9
PIQA: Reasoning about Physical Commonsense in Natural Language

Paper • 1911.11641 • Published Nov 26, 2019 • 5

Models - Coding

dphn/dolphin-2.6-mistral-7b-dpo-laser

Text Generation • 7B • Updated Mar 4, 2024 • 140 • 120
Evaluating Large Language Models Trained on Code

Paper • 2107.03374 • Published Jul 7, 2021 • 10
CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Paper • 2002.08155 • Published Feb 19, 2020 • 2
code2seq: Generating Sequences from Structured Representations of Code

Paper • 1808.01400 • Published Aug 4, 2018 • 2

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