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Collections including paper arxiv:2309.00267

Data enrichment methods for pre-training and fine-tuning

Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 77
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Paper • 2309.00267 • Published Sep 1, 2023 • 47
Self-Alignment with Instruction Backtranslation

Paper • 2308.06259 • Published Aug 11, 2023 • 42
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor

Paper • 2212.09689 • Published Dec 19, 2022 • 1

MVDream: Multi-view Diffusion for 3D Generation

Paper • 2308.16512 • Published Aug 31, 2023 • 102
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Paper • 2309.00267 • Published Sep 1, 2023 • 47
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records

Paper • 2308.14089 • Published Aug 27, 2023 • 30
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers

Paper • 2309.08532 • Published Sep 15, 2023 • 53

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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