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Mar 29
Mar 29
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Discover the best community collections!
Collections including paper arxiv:2403.02775
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Mar 6
Mar 6
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Mar 6
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Mar 6
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Mar 6
Mar 6
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 574 -
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
Paper • 2402.17177 • Published • 88 -
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 50 -
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers
Paper • 2402.19479 • Published • 30
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9 days ago
9 days ago
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LoRA+: Efficient Low Rank Adaptation of Large Models
Paper • 2402.12354 • Published • 5 -
The FinBen: An Holistic Financial Benchmark for Large Language Models
Paper • 2402.12659 • Published • 13 -
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
Paper • 2402.13249 • Published • 10 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 62
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Mar 31
Mar 31
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Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis
Paper • 2402.14797 • Published • 19 -
Subobject-level Image Tokenization
Paper • 2402.14327 • Published • 16 -
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 81 -
GPTVQ: The Blessing of Dimensionality for LLM Quantization
Paper • 2402.15319 • Published • 19
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23 days ago
23 days ago
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BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
Paper • 2402.04291 • Published • 48 -
OneBit: Towards Extremely Low-bit Large Language Models
Paper • 2402.11295 • Published • 21 -
A Survey on Transformer Compression
Paper • 2402.05964 • Published -
Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers
Paper • 2402.08958 • Published • 3
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Mar 17
Mar 17
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6 days ago
6 days ago
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SqueezeLLM: Dense-and-Sparse Quantization
Paper • 2306.07629 • Published • 3 -
Norm Tweaking: High-performance Low-bit Quantization of Large Language Models
Paper • 2309.02784 • Published • 1 -
Extreme Compression of Large Language Models via Additive Quantization
Paper • 2401.06118 • Published • 11 -
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
Paper • 2402.04291 • Published • 48