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Collections including paper arxiv:2403.02775

EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs

Paper • 2403.02775 • Published Mar 5, 2024 • 13
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models

Paper • 2308.13137 • Published Aug 25, 2023 • 17

Latest Research

EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs

Paper • 2403.02775 • Published Mar 5, 2024 • 13

EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs

Paper • 2403.02775 • Published Mar 5, 2024 • 13

EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs

Paper • 2403.02775 • Published Mar 5, 2024 • 13
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets

Paper • 2403.03194 • Published Mar 5, 2024 • 14

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 607
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Paper • 2402.17177 • Published Feb 27, 2024 • 88
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Paper • 2402.19427 • Published Feb 29, 2024 • 53
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers

Paper • 2402.19479 • Published Feb 29, 2024 • 33

Large Language Model (LLM) and NLP related papers.

about 15 hours ago

LoRA+: Efficient Low Rank Adaptation of Large Models

Paper • 2402.12354 • Published Feb 19, 2024 • 6
The FinBen: An Holistic Financial Benchmark for Large Language Models

Paper • 2402.12659 • Published Feb 20, 2024 • 21
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization

Paper • 2402.13249 • Published Feb 20, 2024 • 12
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10, 2024 • 66

Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis

Paper • 2402.14797 • Published Feb 22, 2024 • 20
Subobject-level Image Tokenization

Paper • 2402.14327 • Published Feb 22, 2024 • 17
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

Paper • 2402.14905 • Published Feb 22, 2024 • 127
GPTVQ: The Blessing of Dimensionality for LLM Quantization

Paper • 2402.15319 • Published Feb 23, 2024 • 19

BiLLM: Pushing the Limit of Post-Training Quantization for LLMs

Paper • 2402.04291 • Published Feb 6, 2024 • 49
OneBit: Towards Extremely Low-bit Large Language Models

Paper • 2402.11295 • Published Feb 17, 2024 • 24
A Survey on Transformer Compression

Paper • 2402.05964 • Published Feb 5, 2024
Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers

Paper • 2402.08958 • Published Feb 14, 2024 • 4

Generative AI Family

The collection of generative ai with research papers, datasets and models

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 50
Training Generative Adversarial Networks with Limited Data

Paper • 2006.06676 • Published Jun 11, 2020
A survey of Generative AI Applications

Paper • 2306.02781 • Published Jun 5, 2023
Running on CPU Upgrade

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Stable Diffusion 2-1

SqueezeLLM: Dense-and-Sparse Quantization

Paper • 2306.07629 • Published Jun 13, 2023 • 4
Norm Tweaking: High-performance Low-bit Quantization of Large Language Models

Paper • 2309.02784 • Published Sep 6, 2023 • 1
Extreme Compression of Large Language Models via Additive Quantization

Paper • 2401.06118 • Published Jan 11, 2024 • 12
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs

Paper • 2402.04291 • Published Feb 6, 2024 • 49

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