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Collections including paper arxiv:2210.11416

Papers I find interesting

Scaling Instruction-Finetuned Language Models

Paper • 2210.11416 • Published Oct 20, 2022 • 5
Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Paper • 2312.00752 • Published Dec 1, 2023 • 131
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Paper • 2403.05530 • Published Mar 8 • 50
Yi: Open Foundation Models by 01.AI

Paper • 2403.04652 • Published Mar 7 • 59

Generative AI using LLM (Coursera)

Scaling Instruction-Finetuned Language Models

Paper • 2210.11416 • Published Oct 20, 2022 • 5

Text Instruction Papers

Self-Instruct: Aligning Language Model with Self Generated Instructions

Paper • 2212.10560 • Published Dec 20, 2022 • 6
Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Paper • 2312.16171 • Published Dec 26, 2023 • 30
DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Paper • 2401.14196 • Published Jan 25 • 44
AlpaCare:Instruction-tuned Large Language Models for Medical Application

Paper • 2310.14558 • Published Oct 23, 2023 • 4

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
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 • 11

Interesting AI 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

Papers: Instruct

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

Paper • 2310.13961 • Published Oct 21, 2023 • 4
Tuna: Instruction Tuning using Feedback from Large Language Models

Paper • 2310.13385 • Published Oct 20, 2023 • 8
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models

Paper • 2310.13127 • Published Oct 19, 2023 • 10
From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning

Paper • 2310.00492 • Published Sep 30, 2023 • 1

Llemma: An Open Language Model For Mathematics

Paper • 2310.10631 • Published Oct 16, 2023 • 45
Mistral 7B

Paper • 2310.06825 • Published Oct 10, 2023 • 43
Qwen Technical Report

Paper • 2309.16609 • Published Sep 28, 2023 • 30
BTLM-3B-8K: 7B Parameter Performance in a 3B Parameter Model

Paper • 2309.11568 • Published Sep 20, 2023 • 9

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

Paper • 2310.13961 • Published Oct 21, 2023 • 4
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models

Paper • 2310.13127 • Published Oct 19, 2023 • 10
Evaluating the Robustness to Instructions of Large Language Models

Paper • 2308.14306 • Published Aug 28, 2023 • 1

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