AI Library

A collection of top AI Papers. Creating an AI Library for references to the newest and most updated papers on AI.

LLM Papers

AI Papers	Keywords	Publication	Publication Date
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning	DeepSeek-R1	https://arxiv.org/pdf/2501.12948	22 Jan 2025
The Llama 3 Herd of Models	Llama 2	https://arxiv.org/pdf/2407.21783	23 Nov 2024
Microsoft’s Phi-4 Technical Report	Phi-4	https://arxiv.org/abs/2412.08905	12 Dec 2024
O1 Replication Journey: A Strategic Progress Report	OO1	https://arxiv.org/pdf/2410.18982	08 Oct 2024
NVLM: Open Frontier-Class Multimodal NVLM	OO1	https://arxiv.org/abs/2409.11402	22 Oct 2024

Starter Papers

AI Papers	Keywords	Publication	Publication Date
Attention Is All You Need	Transformers Architecture	https://arxiv.org/abs/1706.03762	02 Aug 2023
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	Bidirectional Contextual Understanding	https://arxiv.org/abs/1810.04805	24 May 2019
Language Models are Few-Shot Learners	GPT-3	https://arxiv.org/abs/2005.14165	28 May 2020
High-Resolution Image Synthesis with Latent Diffusion Models	Generative Diffusion Models	https://arxiv.org/abs/2112.10752	13 April 2022
Deep Residual Learning for Image Recognition	Residual Networks (ResNets)	https://arxiv.org/abs/1512.03385	10 Dec 2020
Sequence to Sequence Learning with Neural Networks	Seq2Seq	https://arxiv.org/abs/1409.3215	14 Dec 2014
Generative Adversarial Nets	GANs	https://arxiv.org/abs/1406.2661	10 June 2014
DALL·E: Creating Images from Text Descriptions	DALL·E	https://arxiv.org/abs/2102.12092	13 April 2022
AlphaGo	AlphaGo	https://www.nature.com/articles/nature16961	27 Jan 2016
ImageNet Classification with Deep Convolutional Neural Networks	AlexNet	https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf	2022
Gradient-Based Learning Applied to Document Recognition	Convolution Neural Networks	http://vision.stanford.edu/cs598_spring07/papers/Lecun98.pdf	1998
Long Short-Term Memory	LSTMs	https://deeplearning.cs.cmu.edu/F23/document/readings/LSTM.pdf	1997
Learning Representations by Back-Propagating Errors	Backpropagation Algorithm	https://www.nature.com/articles/323533a0	09 Oct 1986
Computing Machinery and Intelligence	Turing Test	https://courses.cs.umbc.edu/471/papers/turing.pdf	1950s

NLP Foundational Guide

AI Papers	Keywords	Publication	Publication Year
Attention Is All You Need	Transformers Architecture	https://arxiv.org/abs/1706.03762	2023
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	Bidirectional Contextual Understanding	https://arxiv.org/abs/1810.04805	2019
Language Models are Few-Shot Learners	GPT-3	https://arxiv.org/abs/2005.14165	2020
ELMo: Deep Contextualized Word Representations	Contextualized Embeddings	https://arxiv.org/pdf/1802.05365	2018
Seq2Seq Models for Neural Machine Translation	Seq2Seq	https://arxiv.org/pdf/1802.05365	2014
Word2Vec: Efficient Estimation of Word Representations in Vector Space	Word2Vec	https://arxiv.org/pdf/1301.3781	2013
A Neural Conversational Model	Conversational Agent	https://arxiv.org/pdf/1506.05869	2015

Recommenders Foundational Guide

AI Papers	Keywords	Publication	Publication Year
Using Collaborative Filtering to Weave an Information Tapestry	Collaborative Filtering	https://sci-hub.se/10.1145/138859.138867	1992
GroupLens: An Open Architecture for Collaborative Filtering of Netnews	Collaborative Filtering	http://ccs.mit.edu/papers/CCSWP165.html	1994
Item-Based Collaborative Filtering Recommendation Algorithms	Collaborative Filtering	https://www.researchgate.net/publication/2369002_Item-based_Collaborative_Filtering_Recommendation_Algorithms	2001
Matrix Factorization Techniques for Recommender Systems	Collaborative Filtering	https://datajobs.com/data-science-repo/Recommender-Systems-%5bNetflix%5d.pdf	2009
Content-Based Recommendation Systems	Content-Based Filtering	https://www.researchgate.net/publication/236895069_Content-Based_Recommendation_Systems	2007
Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources	Hybrid	NA	2017
Combining Collaborative Filtering with Content-Based Approaches for Better Recommendations	Hybrid	NA	2015

Computer Vision Foundational Guide

Ian Goodfellow et al., "Generative Adversarial Networks" (GANs) (2014)

Reinforcement Learning Foundational Guide

Gen AI Foundational Guide

Topical Papers

• Recommender Systems
• Anomoly Detection
• Transfer Learning
• AI Agents
• Explainable AI
• Multimodal
• Causal Inference

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