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Collections including paper arxiv:1706.03762

Must-read Papers

Some of the most important and insightful (in my opinion) AI papers of today, with a focus on NLP and LLMs.

ReAct: Synergizing Reasoning and Acting in Language Models

Paper • 2210.03629 • Published Oct 6, 2022 • 12
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 36
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 11
Jamba: A Hybrid Transformer-Mamba Language Model

Paper • 2403.19887 • Published Mar 28 • 99

Most influential papers in AI

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 36
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 11
Universal Language Model Fine-tuning for Text Classification

Paper • 1801.06146 • Published Jan 18, 2018 • 6
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 10

LLM Fundamental papers

about 5 hours ago

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 36
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 10
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Paper • 2305.13245 • Published May 22, 2023 • 5
Llama 2: Open Foundation and Fine-Tuned Chat Models

Paper • 2307.09288 • Published Jul 18, 2023 • 235

Ilya's papers for Carmack

Ilya Sutskever: "If you really learn all of these, you’ll know 90% of what matters today." Full list: https://punkx.org/jackdoe/30.html

Recurrent Neural Network Regularization

Paper • 1409.2329 • Published Sep 8, 2014
Pointer Networks

Paper • 1506.03134 • Published Jun 9, 2015
Order Matters: Sequence to sequence for sets

Paper • 1511.06391 • Published Nov 19, 2015
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism

Paper • 1811.06965 • Published Nov 16, 2018

RoFormer: Enhanced Transformer with Rotary Position Embedding

Paper • 2104.09864 • Published Apr 20, 2021 • 7
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 36
LoRA: Low-Rank Adaptation of Large Language Models

Paper • 2106.09685 • Published Jun 17, 2021 • 24
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Paper • 2205.14135 • Published May 27, 2022 • 8

Influential papers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 36
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 11
Universal Language Model Fine-tuning for Text Classification

Paper • 1801.06146 • Published Jan 18, 2018 • 6
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 10

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 36

Papers-Fundamentals

RoFormer: Enhanced Transformer with Rotary Position Embedding

Paper • 2104.09864 • Published Apr 20, 2021 • 7
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 36
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences

Paper • 2404.03715 • Published Apr 4 • 58
Zero-Shot Tokenizer Transfer

Paper • 2405.07883 • Published 20 days ago • 3

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 36
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 11
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Paper • 1910.01108 • Published Oct 2, 2019 • 11
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 10

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 36
Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth

Paper • 2103.03404 • Published Mar 5, 2021 • 1

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