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Collections including paper arxiv:1801.06146

NLP (no LLM related)

Universal Language Model Fine-tuning for Text Classification

Paper • 1801.06146 • Published Jan 18, 2018 • 6
Exploiting Similarities among Languages for Machine Translation

Paper • 1309.4168 • Published Sep 17, 2013
Theory, Analysis, and Best Practices for Sigmoid Self-Attention

Paper • 2409.04431 • Published Sep 6 • 1
Kolmogorov-Arnold Transformer

Paper • 2409.10594 • Published Sep 16 • 38

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 44
LLaMA: Open and Efficient Foundation Language Models

Paper • 2302.13971 • Published Feb 27, 2023 • 13
Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30 • 16
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Paper • 2407.21770 • Published Jul 31 • 22

Most influential papers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 44
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 14
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 • 11

Literature review on transformer architecture and what followed.

Universal Language Model Fine-tuning for Text Classification

Paper • 1801.06146 • Published Jan 18, 2018 • 6
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 14
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Paper • 2205.14135 • Published May 27, 2022 • 11
SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

Paper • 1808.06226 • Published Aug 19, 2018 • 1

Transformer Arch

Checkout: https://bbycroft.net/llm and http://nlp.seas.harvard.edu/2018/04/03/attention.html

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 44
ImageNet Large Scale Visual Recognition Challenge

Paper • 1409.0575 • Published Sep 1, 2014 • 8
Sequence to Sequence Learning with Neural Networks

Paper • 1409.3215 • Published Sep 10, 2014 • 3
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 11

language-models

Mistral 7B

Paper • 2310.06825 • Published Oct 10, 2023 • 47
BloombergGPT: A Large Language Model for Finance

Paper • 2303.17564 • Published Mar 30, 2023 • 20
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 14
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Paper • 1910.01108 • Published Oct 2, 2019 • 14

Interesting AI papers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 44
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 14
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 • 11

Most influential papers in AI

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 44
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 14
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 • 11

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