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Collections including paper arxiv:2505.12781

LayerCake: Token-Aware Contrastive Decoding within Large Language Model Layers

Paper • 2507.04404 • Published Jul 6 • 21
70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float

Paper • 2504.11651 • Published Apr 15 • 31
A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone

Paper • 2505.12781 • Published May 19 • 2
A Survey of Context Engineering for Large Language Models

Paper • 2507.13334 • Published Jul 17 • 259

Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers

Paper • 2504.20752 • Published Apr 29 • 92
Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math

Paper • 2504.21233 • Published Apr 30 • 49
AF Adapter: Continual Pretraining for Building Chinese Biomedical Language Model

Paper • 2211.11363 • Published Nov 21, 2022 • 1
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Paper • 2405.12130 • Published May 20, 2024 • 50

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Low-Rank Clone (LRC)

Model checkpoints for paper "A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone".

A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone

Paper • 2505.12781 • Published May 19 • 2
JitaiHao/LRC-1.5B-Base

Updated May 18 • 19 • 1
JitaiHao/LRC-1.5B-SFT

2B • Updated May 18 • 2
JitaiHao/LRC-1.7B-Base

Updated May 21 • 6

inference optimization

Low-Rank Adapters Meet Neural Architecture Search for LLM Compression

Paper • 2501.16372 • Published Jan 23 • 12
TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models

Paper • 2501.16937 • Published Jan 28 • 7
Matryoshka Quantization

Paper • 2502.06786 • Published Feb 10 • 32
Identifying Sensitive Weights via Post-quantization Integral

Paper • 2503.01901 • Published Feb 28 • 8

LayerCake: Token-Aware Contrastive Decoding within Large Language Model Layers

Paper • 2507.04404 • Published Jul 6 • 21
70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float

Paper • 2504.11651 • Published Apr 15 • 31
A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone

Paper • 2505.12781 • Published May 19 • 2
A Survey of Context Engineering for Large Language Models

Paper • 2507.13334 • Published Jul 17 • 259

Low-Rank Clone (LRC)

Model checkpoints for paper "A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone".

A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone

Paper • 2505.12781 • Published May 19 • 2
JitaiHao/LRC-1.5B-Base

Updated May 18 • 19 • 1
JitaiHao/LRC-1.5B-SFT

2B • Updated May 18 • 2
JitaiHao/LRC-1.7B-Base

Updated May 21 • 6

Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers

Paper • 2504.20752 • Published Apr 29 • 92
Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math

Paper • 2504.21233 • Published Apr 30 • 49
AF Adapter: Continual Pretraining for Building Chinese Biomedical Language Model

Paper • 2211.11363 • Published Nov 21, 2022 • 1
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Paper • 2405.12130 • Published May 20, 2024 • 50

inference optimization

Low-Rank Adapters Meet Neural Architecture Search for LLM Compression

Paper • 2501.16372 • Published Jan 23 • 12
TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models

Paper • 2501.16937 • Published Jan 28 • 7
Matryoshka Quantization

Paper • 2502.06786 • Published Feb 10 • 32
Identifying Sensitive Weights via Post-quantization Integral

Paper • 2503.01901 • Published Feb 28 • 8

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

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