quant INT v.s. FP: A Comprehensive Study of Fine-Grained Low-bit Quantization Formats Paper • 2510.25602 • Published Oct 29, 2025 • 79
INT v.s. FP: A Comprehensive Study of Fine-Grained Low-bit Quantization Formats Paper • 2510.25602 • Published Oct 29, 2025 • 79
mamba Multimodal Mamba: Decoder-only Multimodal State Space Model via Quadratic to Linear Distillation Paper • 2502.13145 • Published Feb 18, 2025 • 38
Multimodal Mamba: Decoder-only Multimodal State Space Model via Quadratic to Linear Distillation Paper • 2502.13145 • Published Feb 18, 2025 • 38
Diffusion Model Scaling Rectified Flow Transformers for High-Resolution Image Synthesis Paper • 2403.03206 • Published Mar 5, 2024 • 71
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis Paper • 2403.03206 • Published Mar 5, 2024 • 71
agent Large Language Model Agent: A Survey on Methodology, Applications and Challenges Paper • 2503.21460 • Published Mar 27, 2025 • 83
Large Language Model Agent: A Survey on Methodology, Applications and Challenges Paper • 2503.21460 • Published Mar 27, 2025 • 83
llm LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders Paper • 2404.05961 • Published Apr 9, 2024 • 66 Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention Paper • 2404.07143 • Published Apr 10, 2024 • 111 Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies Paper • 2404.08197 • Published Apr 12, 2024 • 29 Pre-training Small Base LMs with Fewer Tokens Paper • 2404.08634 • Published Apr 12, 2024 • 36
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders Paper • 2404.05961 • Published Apr 9, 2024 • 66
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention Paper • 2404.07143 • Published Apr 10, 2024 • 111
Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies Paper • 2404.08197 • Published Apr 12, 2024 • 29
quant INT v.s. FP: A Comprehensive Study of Fine-Grained Low-bit Quantization Formats Paper • 2510.25602 • Published Oct 29, 2025 • 79
INT v.s. FP: A Comprehensive Study of Fine-Grained Low-bit Quantization Formats Paper • 2510.25602 • Published Oct 29, 2025 • 79
agent Large Language Model Agent: A Survey on Methodology, Applications and Challenges Paper • 2503.21460 • Published Mar 27, 2025 • 83
Large Language Model Agent: A Survey on Methodology, Applications and Challenges Paper • 2503.21460 • Published Mar 27, 2025 • 83
mamba Multimodal Mamba: Decoder-only Multimodal State Space Model via Quadratic to Linear Distillation Paper • 2502.13145 • Published Feb 18, 2025 • 38
Multimodal Mamba: Decoder-only Multimodal State Space Model via Quadratic to Linear Distillation Paper • 2502.13145 • Published Feb 18, 2025 • 38
llm LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders Paper • 2404.05961 • Published Apr 9, 2024 • 66 Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention Paper • 2404.07143 • Published Apr 10, 2024 • 111 Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies Paper • 2404.08197 • Published Apr 12, 2024 • 29 Pre-training Small Base LMs with Fewer Tokens Paper • 2404.08634 • Published Apr 12, 2024 • 36
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders Paper • 2404.05961 • Published Apr 9, 2024 • 66
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention Paper • 2404.07143 • Published Apr 10, 2024 • 111
Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies Paper • 2404.08197 • Published Apr 12, 2024 • 29
Diffusion Model Scaling Rectified Flow Transformers for High-Resolution Image Synthesis Paper • 2403.03206 • Published Mar 5, 2024 • 71
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis Paper • 2403.03206 • Published Mar 5, 2024 • 71
