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Collections including paper arxiv:2310.11454

llm-performance

QLoRA: Efficient Finetuning of Quantized LLMs

Paper • 2305.14314 • Published May 23, 2023 • 57
Training Transformers with 4-bit Integers

Paper • 2306.11987 • Published Jun 21, 2023 • 22
FasterViT: Fast Vision Transformers with Hierarchical Attention

Paper • 2306.06189 • Published Jun 9, 2023 • 31
DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Paper • 2309.14509 • Published Sep 25, 2023 • 19

VeRA: Vector-based Random Matrix Adaptation

Paper • 2310.11454 • Published Oct 17, 2023 • 30

VeRA: Vector-based Random Matrix Adaptation

Paper • 2310.11454 • Published Oct 17, 2023 • 30
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 627

Matryoshka Diffusion Models

Paper • 2310.15111 • Published Oct 23, 2023 • 44
De-Diffusion Makes Text a Strong Cross-Modal Interface

Paper • 2311.00618 • Published Nov 1, 2023 • 23
MM-VID: Advancing Video Understanding with GPT-4V(ision)

Paper • 2310.19773 • Published Oct 30, 2023 • 20
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding

Paper • 2310.15308 • Published Oct 23, 2023 • 23

VeRA: Vector-based Random Matrix Adaptation

Paper • 2310.11454 • Published Oct 17, 2023 • 30
S-LoRA: Serving Thousands of Concurrent LoRA Adapters

Paper • 2311.03285 • Published Nov 6, 2023 • 32
SiRA: Sparse Mixture of Low Rank Adaptation

Paper • 2311.09179 • Published Nov 15, 2023 • 9

A LoRA-Based Approach to Fine-Tuning LLMs for Educational Guidance in Resource-Constrained Settings

Paper • 2504.15610 • Published Apr 22 • 1
Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models

Paper • 2502.13533 • Published Feb 19 • 12
LoRA-SP: Streamlined Partial Parameter Adaptation for Resource-Efficient Fine-Tuning of Large Language Models

Paper • 2403.08822 • Published Feb 28, 2024
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?

Paper • 2407.18242 • Published Jul 25, 2024

entity_alignment

matchbench/dbp15k-zh-en

Viewer • Updated Feb 2, 2023 • 1.65M • 169 • 3
matchbench/dbp100k-zh-en

Viewer • Updated Feb 4, 2023 • 1.14M • 18
matchbench/DBP1M-EN-FR

Viewer • Updated Feb 13, 2023 • 15.6M • 108
VeRA: Vector-based Random Matrix Adaptation

Paper • 2310.11454 • Published Oct 17, 2023 • 30

Train Efficient

VeRA: Vector-based Random Matrix Adaptation

Paper • 2310.11454 • Published Oct 17, 2023 • 30

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

Paper • 2310.08659 • Published Oct 12, 2023 • 28
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Paper • 2309.14717 • Published Sep 26, 2023 • 45
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

VeRA: Vector-based Random Matrix Adaptation

Paper • 2310.11454 • Published Oct 17, 2023 • 30

llm-performance

QLoRA: Efficient Finetuning of Quantized LLMs

Paper • 2305.14314 • Published May 23, 2023 • 57
Training Transformers with 4-bit Integers

Paper • 2306.11987 • Published Jun 21, 2023 • 22
FasterViT: Fast Vision Transformers with Hierarchical Attention

Paper • 2306.06189 • Published Jun 9, 2023 • 31
DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Paper • 2309.14509 • Published Sep 25, 2023 • 19

A LoRA-Based Approach to Fine-Tuning LLMs for Educational Guidance in Resource-Constrained Settings

Paper • 2504.15610 • Published Apr 22 • 1
Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models

Paper • 2502.13533 • Published Feb 19 • 12
LoRA-SP: Streamlined Partial Parameter Adaptation for Resource-Efficient Fine-Tuning of Large Language Models

Paper • 2403.08822 • Published Feb 28, 2024
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?

Paper • 2407.18242 • Published Jul 25, 2024

VeRA: Vector-based Random Matrix Adaptation

Paper • 2310.11454 • Published Oct 17, 2023 • 30

entity_alignment

matchbench/dbp15k-zh-en

Viewer • Updated Feb 2, 2023 • 1.65M • 169 • 3
matchbench/dbp100k-zh-en

Viewer • Updated Feb 4, 2023 • 1.14M • 18
matchbench/DBP1M-EN-FR

Viewer • Updated Feb 13, 2023 • 15.6M • 108
VeRA: Vector-based Random Matrix Adaptation

Paper • 2310.11454 • Published Oct 17, 2023 • 30

VeRA: Vector-based Random Matrix Adaptation

Paper • 2310.11454 • Published Oct 17, 2023 • 30
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 627

Train Efficient

VeRA: Vector-based Random Matrix Adaptation

Paper • 2310.11454 • Published Oct 17, 2023 • 30

Matryoshka Diffusion Models

Paper • 2310.15111 • Published Oct 23, 2023 • 44
De-Diffusion Makes Text a Strong Cross-Modal Interface

Paper • 2311.00618 • Published Nov 1, 2023 • 23
MM-VID: Advancing Video Understanding with GPT-4V(ision)

Paper • 2310.19773 • Published Oct 30, 2023 • 20
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding

Paper • 2310.15308 • Published Oct 23, 2023 • 23

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

Paper • 2310.08659 • Published Oct 12, 2023 • 28
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Paper • 2309.14717 • Published Sep 26, 2023 • 45
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

VeRA: Vector-based Random Matrix Adaptation

Paper • 2310.11454 • Published Oct 17, 2023 • 30
S-LoRA: Serving Thousands of Concurrent LoRA Adapters

Paper • 2311.03285 • Published Nov 6, 2023 • 32
SiRA: Sparse Mixture of Low Rank Adaptation

Paper • 2311.09179 • Published Nov 15, 2023 • 9

VeRA: Vector-based Random Matrix Adaptation

Paper • 2310.11454 • Published Oct 17, 2023 • 30

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