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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 • 11
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 • 11

EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs

Paper • 2403.02775 • Published Mar 5 • 11

EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs

Paper • 2403.02775 • Published Mar 5 • 11
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets

Paper • 2403.03194 • Published Mar 5 • 12

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

Paper • 2402.17764 • Published Feb 27 • 601
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

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

Paper • 2402.19427 • Published Feb 29 • 52
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers

Paper • 2402.19479 • Published Feb 29 • 32

Large Language Model (LLM) and NLP related papers.

LoRA+: Efficient Low Rank Adaptation of Large Models

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

Paper • 2402.12659 • Published Feb 20 • 16
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization

Paper • 2402.13249 • Published Feb 20 • 10
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10 • 64

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

Paper • 2402.14797 • Published Feb 22 • 19
Subobject-level Image Tokenization

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

Paper • 2402.14905 • Published Feb 22 • 108
GPTVQ: The Blessing of Dimensionality for LLM Quantization

Paper • 2402.15319 • Published Feb 23 • 19

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

Paper • 2402.04291 • Published Feb 6 • 48
OneBit: Towards Extremely Low-bit Large Language Models

Paper • 2402.11295 • Published Feb 17 • 22
A Survey on Transformer Compression

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

Paper • 2402.08958 • Published Feb 14 • 3

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 • 43
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
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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 • 12
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs

Paper • 2402.04291 • Published Feb 6 • 48

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