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Collections including paper arxiv:2303.15647

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LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Paper • 2310.08659 • Published Oct 12, 2023 • 20
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Paper • 2309.14717 • Published Sep 26, 2023 • 43
ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers

Paper • 2309.16119 • Published Sep 28, 2023 • 1
LoRA ensembles for large language model fine-tuning

Paper • 2310.00035 • Published Sep 29, 2023 • 2

Papers - University - University of Massachusetts

Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

Paper • 2303.15647 • Published Mar 28, 2023 • 5

Papers - Fine-tuning - PEFT

OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework

Paper • 2404.14619 • Published Apr 22 • 123
Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

Paper • 2303.15647 • Published Mar 28, 2023 • 5
Hyper-X: A Unified Hypernetwork for Multi-Task Multilingual Transfer

Paper • 2205.12148 • Published May 24, 2022 • 2

Papers - Amazon

On the Scalability of Diffusion-based Text-to-Image Generation

Paper • 2404.02883 • Published Apr 3 • 17
MonoPatchNeRF: Improving Neural Radiance Fields with Patch-based Monocular Guidance

Paper • 2404.08252 • Published Apr 12 • 5
Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

Paper • 2303.15647 • Published Mar 28, 2023 • 5

Papers - Fine-tuning - Report

InternLM2 Technical Report

Paper • 2403.17297 • Published Mar 26 • 26
Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

Paper • 2303.15647 • Published Mar 28, 2023 • 5
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report

Paper • 2405.00732 • Published Apr 29 • 116

Papers - Fine-tuning

Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning

Paper • 2310.20587 • Published Oct 31, 2023 • 15
SELF: Language-Driven Self-Evolution for Large Language Model

Paper • 2310.00533 • Published Oct 1, 2023 • 2
QLoRA: Efficient Finetuning of Quantized LLMs

Paper • 2305.14314 • Published May 23, 2023 • 41
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Paper • 2309.14717 • Published Sep 26, 2023 • 43

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 • 12
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 related to parameter efficient finetuning methods.

LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery

Paper • 2310.18356 • Published Oct 24, 2023 • 22
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Paper • 2310.08659 • Published Oct 12, 2023 • 20
ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers

Paper • 2309.16119 • Published Sep 28, 2023 • 1
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Paper • 2309.14717 • Published Sep 26, 2023 • 43

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