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Collections including paper arxiv:2201.11903

VLM Foundational

LoRA: Low-Rank Adaptation of Large Language Models

Paper • 2106.09685 • Published Jun 17, 2021 • 61
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Paper • 2205.14135 • Published May 27, 2022 • 15
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 15
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24

Prompt Egineering

A collection of good ressources on prompt engineering I'm gathering around Hugging Face.

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 15
ReAct: Synergizing Reasoning and Acting in Language Models

Paper • 2210.03629 • Published Oct 6, 2022 • 35

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6, 2025 • 514
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 15
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Paper • 2408.03314 • Published Aug 6, 2024 • 67
Universal Language Model Fine-tuning for Text Classification

Paper • 1801.06146 • Published Jan 18, 2018 • 8

Prompting and RAG

Don't Do RAG: When Cache-Augmented Generation is All You Need for Knowledge Tasks

Paper • 2412.15605 • Published Dec 20, 2024 • 2
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 79
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity

Paper • 2403.14403 • Published Mar 21, 2024 • 7
Compressed Chain of Thought: Efficient Reasoning Through Dense Representations

Paper • 2412.13171 • Published Dec 17, 2024 • 35

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 • 28
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

LLM Reasoning & Planning Techniques

CoT, ToT, GoT, ReAct, ReWOO prompting techniques for LLM reasoning with implementation guidance and benchmarks.

deepseek-ai/DeepSeek-R1

Text Generation • 685B • Updated Mar 27, 2025 • 3.9M • • 13.3k
Qwen/Qwen2.5-Coder-32B-Instruct

Text Generation • 33B • Updated Jan 12, 2025 • 941k • • 2.02k
google/gemma-2-27b-it

Text Generation • 27B • Updated Aug 27, 2024 • 45.8k • • 565
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 15

paper digestion

Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 28
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 122
Lookahead Anchoring: Preserving Character Identity in Audio-Driven Human Animation

Paper • 2510.23581 • Published Oct 27, 2025 • 42

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 • 28
RoBERTa: A Robustly Optimized BERT Pretraining Approach

Paper • 1907.11692 • Published Jul 26, 2019 • 10
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20

ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent

Paper • 2312.10003 • Published Dec 15, 2023 • 44
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Paper • 2005.11401 • Published May 22, 2020 • 14
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 15
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 122

LLM and Reasoning Papers

Papers dump of LLM Reasoning domain

Internal Consistency and Self-Feedback in Large Language Models: A Survey

Paper • 2407.14507 • Published Jul 19, 2024 • 47
Large Language Models are Zero-Shot Reasoners

Paper • 2205.11916 • Published May 24, 2022 • 3
Let's Verify Step by Step

Paper • 2305.20050 • Published May 31, 2023 • 11
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 15

VLM Foundational

LoRA: Low-Rank Adaptation of Large Language Models

Paper • 2106.09685 • Published Jun 17, 2021 • 61
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Paper • 2205.14135 • Published May 27, 2022 • 15
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 15
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24

LLM Reasoning & Planning Techniques

CoT, ToT, GoT, ReAct, ReWOO prompting techniques for LLM reasoning with implementation guidance and benchmarks.

deepseek-ai/DeepSeek-R1

Text Generation • 685B • Updated Mar 27, 2025 • 3.9M • • 13.3k
Qwen/Qwen2.5-Coder-32B-Instruct

Text Generation • 33B • Updated Jan 12, 2025 • 941k • • 2.02k
google/gemma-2-27b-it

Text Generation • 27B • Updated Aug 27, 2024 • 45.8k • • 565
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 15

Prompt Egineering

A collection of good ressources on prompt engineering I'm gathering around Hugging Face.

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 15
ReAct: Synergizing Reasoning and Acting in Language Models

Paper • 2210.03629 • Published Oct 6, 2022 • 35

paper digestion

Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 28
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 122
Lookahead Anchoring: Preserving Character Identity in Audio-Driven Human Animation

Paper • 2510.23581 • Published Oct 27, 2025 • 42

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6, 2025 • 514
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 15
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Paper • 2408.03314 • Published Aug 6, 2024 • 67
Universal Language Model Fine-tuning for Text Classification

Paper • 1801.06146 • Published Jan 18, 2018 • 8

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 • 28
RoBERTa: A Robustly Optimized BERT Pretraining Approach

Paper • 1907.11692 • Published Jul 26, 2019 • 10
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 20

Prompting and RAG

Don't Do RAG: When Cache-Augmented Generation is All You Need for Knowledge Tasks

Paper • 2412.15605 • Published Dec 20, 2024 • 2
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 79
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity

Paper • 2403.14403 • Published Mar 21, 2024 • 7
Compressed Chain of Thought: Efficient Reasoning Through Dense Representations

Paper • 2412.13171 • Published Dec 17, 2024 • 35

ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent

Paper • 2312.10003 • Published Dec 15, 2023 • 44
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Paper • 2005.11401 • Published May 22, 2020 • 14
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 15
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 122

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 • 28
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

LLM and Reasoning Papers

Papers dump of LLM Reasoning domain

Internal Consistency and Self-Feedback in Large Language Models: A Survey

Paper • 2407.14507 • Published Jul 19, 2024 • 47
Large Language Models are Zero-Shot Reasoners

Paper • 2205.11916 • Published May 24, 2022 • 3
Let's Verify Step by Step

Paper • 2305.20050 • Published May 31, 2023 • 11
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 15

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