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Collections including paper arxiv:2203.02155

Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9, 2025 • 265
A Survey on Latent Reasoning

Paper • 2507.06203 • Published Jul 8, 2025 • 94
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Paper • 1910.10683 • Published Oct 23, 2019 • 18

Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24

LLM Post Training

Instruction Tuning for Large Language Models: A Survey

Paper • 2308.10792 • Published Aug 21, 2023 • 1
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Paper • 2403.14608 • Published Mar 21, 2024
Efficient Large Language Models: A Survey

Paper • 2312.03863 • Published Dec 6, 2023 • 4
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17, 2024 • 32

LLM-Alignment Papers

Concrete Problems in AI Safety

Paper • 1606.06565 • Published Jun 21, 2016 • 1
The Off-Switch Game

Paper • 1611.08219 • Published Nov 24, 2016 • 1
Learning to summarize from human feedback

Paper • 2009.01325 • Published Sep 2, 2020 • 4
Truthful AI: Developing and governing AI that does not lie

Paper • 2110.06674 • Published Oct 13, 2021 • 1

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 120
Scaling Laws for Neural Language Models

Paper • 2001.08361 • Published Jan 23, 2020 • 10
RoFormer: Enhanced Transformer with Rotary Position Embedding

Paper • 2104.09864 • Published Apr 20, 2021 • 17
LoRA Learns Less and Forgets Less

Paper • 2405.09673 • Published May 15, 2024 • 91

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 • 26
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 (I want) To Read

A list of papers on my reading list.

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models

Paper • 2304.09842 • Published Apr 19, 2023 • 2
ReAct: Synergizing Reasoning and Acting in Language Models

Paper • 2210.03629 • Published Oct 6, 2022 • 34
Gorilla: Large Language Model Connected with Massive APIs

Paper • 2305.15334 • Published May 24, 2023 • 6
Reflexion: Language Agents with Verbal Reinforcement Learning

Paper • 2303.11366 • Published Mar 20, 2023 • 7

LLM Tech Report

Qwen2.5 Technical Report

Paper • 2412.15115 • Published Dec 19, 2024 • 377
Qwen2.5-Coder Technical Report

Paper • 2409.12186 • Published Sep 18, 2024 • 154
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Paper • 2409.12122 • Published Sep 18, 2024 • 4
Qwen2.5-VL Technical Report

Paper • 2502.13923 • Published Feb 19, 2025 • 217

Llama 2: Open Foundation and Fine-Tuned Chat Models

Paper • 2307.09288 • Published Jul 18, 2023 • 251
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24
nlpaueb/legal-bert-base-uncased

Fill-Mask • Updated Apr 28, 2022 • 115k • • 307

LLM Fundamental papers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 120
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Paper • 2305.13245 • Published May 22, 2023 • 6
Llama 2: Open Foundation and Fine-Tuned Chat Models

Paper • 2307.09288 • Published Jul 18, 2023 • 251

Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9, 2025 • 265
A Survey on Latent Reasoning

Paper • 2507.06203 • Published Jul 8, 2025 • 94
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Paper • 1910.10683 • Published Oct 23, 2019 • 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 • 26
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

Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24

Papers (I want) To Read

A list of papers on my reading list.

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models

Paper • 2304.09842 • Published Apr 19, 2023 • 2
ReAct: Synergizing Reasoning and Acting in Language Models

Paper • 2210.03629 • Published Oct 6, 2022 • 34
Gorilla: Large Language Model Connected with Massive APIs

Paper • 2305.15334 • Published May 24, 2023 • 6
Reflexion: Language Agents with Verbal Reinforcement Learning

Paper • 2303.11366 • Published Mar 20, 2023 • 7

LLM Post Training

Instruction Tuning for Large Language Models: A Survey

Paper • 2308.10792 • Published Aug 21, 2023 • 1
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Paper • 2403.14608 • Published Mar 21, 2024
Efficient Large Language Models: A Survey

Paper • 2312.03863 • Published Dec 6, 2023 • 4
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17, 2024 • 32

LLM Tech Report

Qwen2.5 Technical Report

Paper • 2412.15115 • Published Dec 19, 2024 • 377
Qwen2.5-Coder Technical Report

Paper • 2409.12186 • Published Sep 18, 2024 • 154
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Paper • 2409.12122 • Published Sep 18, 2024 • 4
Qwen2.5-VL Technical Report

Paper • 2502.13923 • Published Feb 19, 2025 • 217

LLM-Alignment Papers

Concrete Problems in AI Safety

Paper • 1606.06565 • Published Jun 21, 2016 • 1
The Off-Switch Game

Paper • 1611.08219 • Published Nov 24, 2016 • 1
Learning to summarize from human feedback

Paper • 2009.01325 • Published Sep 2, 2020 • 4
Truthful AI: Developing and governing AI that does not lie

Paper • 2110.06674 • Published Oct 13, 2021 • 1

Llama 2: Open Foundation and Fine-Tuned Chat Models

Paper • 2307.09288 • Published Jul 18, 2023 • 251
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24
nlpaueb/legal-bert-base-uncased

Fill-Mask • Updated Apr 28, 2022 • 115k • • 307

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 120
Scaling Laws for Neural Language Models

Paper • 2001.08361 • Published Jan 23, 2020 • 10
RoFormer: Enhanced Transformer with Rotary Position Embedding

Paper • 2104.09864 • Published Apr 20, 2021 • 17
LoRA Learns Less and Forgets Less

Paper • 2405.09673 • Published May 15, 2024 • 91

LLM Fundamental papers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 120
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Paper • 2305.13245 • Published May 22, 2023 • 6
Llama 2: Open Foundation and Fine-Tuned Chat Models

Paper • 2307.09288 • Published Jul 18, 2023 • 251

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