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Collections including paper arxiv:2005.14165

#MustRead Papers

Signature papers in AI/ML with focus on generative AI or large language models that bring unique perspectives and/or are highly cited by peers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 52
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 13
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 11
Orca 2: Teaching Small Language Models How to Reason

Paper • 2311.11045 • Published Nov 18, 2023 • 73

Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 13

Interesting AI papers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 52
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 16
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 • 13

Most influential papers in AI

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 52
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 16
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 • 13

The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only

Paper • 2306.01116 • Published Jun 1, 2023 • 33
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Paper • 2205.14135 • Published May 27, 2022 • 13
RoFormer: Enhanced Transformer with Rotary Position Embedding

Paper • 2104.09864 • Published Apr 20, 2021 • 11
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 13

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 52
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 13
Learning to summarize from human feedback

Paper • 2009.01325 • Published Sep 2, 2020 • 4
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 17

Dama2's references

Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 17
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 13

Retentive Network: A Successor to Transformer for Large Language Models

Paper • 2307.08621 • Published Jul 17, 2023 • 170
Sparks of Artificial General Intelligence: Early experiments with GPT-4

Paper • 2303.12712 • Published Mar 22, 2023 • 2
GPT-4 Technical Report

Paper • 2303.08774 • Published Mar 15, 2023 • 5
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 11

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Paper • 2309.03883 • Published Sep 7, 2023 • 35
LoRA: Low-Rank Adaptation of Large Language Models

Paper • 2106.09685 • Published Jun 17, 2021 • 35
Agents: An Open-source Framework for Autonomous Language Agents

Paper • 2309.07870 • Published Sep 14, 2023 • 42
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Paper • 2309.00267 • Published Sep 1, 2023 • 47

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