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Collections including paper arxiv:2203.02155

#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 • 50
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 • 9
Orca 2: Teaching Small Language Models How to Reason

Paper • 2311.11045 • Published Nov 18, 2023 • 73

RA-DIT: Retrieval-Augmented Dual Instruction Tuning

Paper • 2310.01352 • Published Oct 2, 2023 • 7
Self-Consistency Improves Chain of Thought Reasoning in Language Models

Paper • 2203.11171 • Published Mar 21, 2022 • 3
MemGPT: Towards LLMs as Operating Systems

Paper • 2310.08560 • Published Oct 12, 2023 • 7
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Paper • 2310.06117 • Published Oct 9, 2023 • 3

Interesting AI papers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 50
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 • 12

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Paper • 2211.05100 • Published Nov 9, 2022 • 28
CsFEVER and CTKFacts: Acquiring Czech data for fact verification

Paper • 2201.11115 • Published Jan 26, 2022
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 16
FinGPT: Large Generative Models for a Small Language

Paper • 2311.05640 • Published Nov 3, 2023 • 28

Papers to read - Reinforcement Learning

Papers I want to read, at some point. Focused on Reinforcement Learning papers.

Deep reinforcement learning from human preferences

Paper • 1706.03741 • Published Jun 12, 2017 • 3
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 16
Direct Preference-based Policy Optimization without Reward Modeling

Paper • 2301.12842 • Published Jan 30, 2023
Woodpecker: Hallucination Correction for Multimodal Large Language Models

Paper • 2310.16045 • Published Oct 24, 2023 • 16

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

Paper • 2310.13961 • Published Oct 21, 2023 • 5
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 • 12
Evaluating the Robustness to Instructions of Large Language Models

Paper • 2308.14306 • Published Aug 28, 2023 • 1

Moral Foundations of Large Language Models

Paper • 2310.15337 • Published Oct 23, 2023 • 1
Specific versus General Principles for Constitutional AI

Paper • 2310.13798 • Published Oct 20, 2023 • 3
Contrastive Prefence Learning: Learning from Human Feedback without RL

Paper • 2310.13639 • Published Oct 20, 2023 • 25
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Paper • 2309.00267 • Published Sep 1, 2023 • 48

Text-to-3D using Gaussian Splatting

Paper • 2309.16585 • Published Sep 28, 2023 • 31
FP8-LM: Training FP8 Large Language Models

Paper • 2310.18313 • Published Oct 27, 2023 • 33
Zephyr: Direct Distillation of LM Alignment

Paper • 2310.16944 • Published Oct 25, 2023 • 123
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Paper • 2312.06585 • Published Dec 11, 2023 • 29

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 50
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 12
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 • 16

Dama2's references

Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 16
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 12

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