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Collections including paper arxiv:2203.02155

Language Models - Essential Research Papers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 109
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 18
LLaMA: Open and Efficient Foundation Language Models

Paper • 2302.13971 • Published Feb 27, 2023 • 20
Llama 2: Open Foundation and Fine-Tuned Chat Models

Paper • 2307.09288 • Published Jul 18, 2023 • 248

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 627
Hierarchical Reasoning Model

Paper • 2506.21734 • Published Jun 26, 2025 • 46
Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6, 2025 • 503
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24

LLM Tech Reports

Qwen3 Technical Report

Paper • 2505.09388 • Published May 14, 2025 • 321
Kimi k1.5: Scaling Reinforcement Learning with LLMs

Paper • 2501.12599 • Published Jan 22, 2025 • 126
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24

DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Paper • 2006.03654 • Published Jun 5, 2020 • 3
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 25
RoBERTa: A Robustly Optimized BERT Pretraining Approach

Paper • 1907.11692 • Published Jul 26, 2019 • 9
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

paper digestion

Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 18
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 25
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 109
Lookahead Anchoring: Preserving Character Identity in Audio-Driven Human Animation

Paper • 2510.23581 • Published Oct 27, 2025 • 41

Toolkit - AI Papers

Neural Machine Translation by Jointly Learning to Align and Translate

Paper • 1409.0473 • Published Sep 1, 2014 • 7
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 109
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 25
Hierarchical Reasoning Model

Paper • 2506.21734 • Published Jun 26, 2025 • 46

DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18, 2025 • 144
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24
Llama 2: Open Foundation and Fine-Tuned Chat Models

Paper • 2307.09288 • Published Jul 18, 2023 • 248
The Llama 3 Herd of Models

Paper • 2407.21783 • Published Jul 31, 2024 • 117

Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9, 2025 • 263
A Survey on Latent Reasoning

Paper • 2507.06203 • Published Jul 8, 2025 • 93
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 18
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Paper • 1910.10683 • Published Oct 23, 2019 • 15

Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24

Language Models - Essential Research Papers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 109
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 18
LLaMA: Open and Efficient Foundation Language Models

Paper • 2302.13971 • Published Feb 27, 2023 • 20
Llama 2: Open Foundation and Fine-Tuned Chat Models

Paper • 2307.09288 • Published Jul 18, 2023 • 248

paper digestion

Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 18
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 25
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 109
Lookahead Anchoring: Preserving Character Identity in Audio-Driven Human Animation

Paper • 2510.23581 • Published Oct 27, 2025 • 41

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 627
Hierarchical Reasoning Model

Paper • 2506.21734 • Published Jun 26, 2025 • 46
Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6, 2025 • 503
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24

Toolkit - AI Papers

Neural Machine Translation by Jointly Learning to Align and Translate

Paper • 1409.0473 • Published Sep 1, 2014 • 7
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 109
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 25
Hierarchical Reasoning Model

Paper • 2506.21734 • Published Jun 26, 2025 • 46

LLM Tech Reports

Qwen3 Technical Report

Paper • 2505.09388 • Published May 14, 2025 • 321
Kimi k1.5: Scaling Reinforcement Learning with LLMs

Paper • 2501.12599 • Published Jan 22, 2025 • 126
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24

DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18, 2025 • 144
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24
Llama 2: Open Foundation and Fine-Tuned Chat Models

Paper • 2307.09288 • Published Jul 18, 2023 • 248
The Llama 3 Herd of Models

Paper • 2407.21783 • Published Jul 31, 2024 • 117

DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Paper • 2006.03654 • Published Jun 5, 2020 • 3
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 25
RoBERTa: A Robustly Optimized BERT Pretraining Approach

Paper • 1907.11692 • Published Jul 26, 2019 • 9
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 18

Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9, 2025 • 263
A Survey on Latent Reasoning

Paper • 2507.06203 • Published Jul 8, 2025 • 93
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 18
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Paper • 1910.10683 • Published Oct 23, 2019 • 15

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

Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24

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