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Collections including paper arxiv:2302.13971

machine learning and neural network papers 📜

SMOTE: Synthetic Minority Over-sampling Technique

Paper • 1106.1813 • Published Jun 9, 2011 • 1
Scikit-learn: Machine Learning in Python

Paper • 1201.0490 • Published Jan 2, 2012 • 1
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Paper • 1406.1078 • Published Jun 3, 2014
Distributed Representations of Sentences and Documents

Paper • 1405.4053 • Published May 16, 2014

LLaMA: Open and Efficient Foundation Language Models

Paper • 2302.13971 • Published Feb 27, 2023 • 14

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 51
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 16
RoBERTa: A Robustly Optimized BERT Pretraining Approach

Paper • 1907.11692 • Published Jul 26, 2019 • 7
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Paper • 1910.01108 • Published Oct 2, 2019 • 14

#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 • 51
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 12
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 10
Orca 2: Teaching Small Language Models How to Reason

Paper • 2311.11045 • Published Nov 18, 2023 • 72

Llemma: An Open Language Model For Mathematics

Paper • 2310.10631 • Published Oct 16, 2023 • 52
Mistral 7B

Paper • 2310.06825 • Published Oct 10, 2023 • 46
Qwen Technical Report

Paper • 2309.16609 • Published Sep 28, 2023 • 35
BTLM-3B-8K: 7B Parameter Performance in a 3B Parameter Model

Paper • 2309.11568 • Published Sep 20, 2023 • 10

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 51
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Paper • 2005.11401 • Published May 22, 2020 • 10
LoRA: Low-Rank Adaptation of Large Language Models

Paper • 2106.09685 • Published Jun 17, 2021 • 32
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Paper • 2205.14135 • Published May 27, 2022 • 13

MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Paper • 2310.09478 • Published Oct 14, 2023 • 20
Can GPT models be Financial Analysts? An Evaluation of ChatGPT and GPT-4 on mock CFA Exams

Paper • 2310.08678 • Published Oct 12, 2023 • 13
Llama 2: Open Foundation and Fine-Tuned Chat Models

Paper • 2307.09288 • Published Jul 18, 2023 • 244
LLaMA: Open and Efficient Foundation Language Models

Paper • 2302.13971 • Published Feb 27, 2023 • 14

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 • 12

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 • 32
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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