Collections
Discover the best community collections!
Collections including paper arxiv:2401.10774
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 144 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 28 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 21 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 65
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LLM in a flash: Efficient Large Language Model Inference with Limited Memory
Paper • 2312.11514 • Published • 258 -
PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU
Paper • 2312.12456 • Published • 41 -
Accelerating LLM Inference with Staged Speculative Decoding
Paper • 2308.04623 • Published • 23 -
LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale
Paper • 2208.07339 • Published • 4
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VideoBooth: Diffusion-based Video Generation with Image Prompts
Paper • 2312.00777 • Published • 21 -
MotionCtrl: A Unified and Flexible Motion Controller for Video Generation
Paper • 2312.03641 • Published • 20 -
GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation
Paper • 2312.04557 • Published • 12 -
DreamVideo: Composing Your Dream Videos with Customized Subject and Motion
Paper • 2312.04433 • Published • 9
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FlashDecoding++: Faster Large Language Model Inference on GPUs
Paper • 2311.01282 • Published • 35 -
Co-training and Co-distillation for Quality Improvement and Compression of Language Models
Paper • 2311.02849 • Published • 3 -
Prompt Cache: Modular Attention Reuse for Low-Latency Inference
Paper • 2311.04934 • Published • 28 -
Exponentially Faster Language Modelling
Paper • 2311.10770 • Published • 118
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TinyStories: How Small Can Language Models Be and Still Speak Coherent English?
Paper • 2305.07759 • Published • 33 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 44 -
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 96 -
LLM-FP4: 4-Bit Floating-Point Quantized Transformers
Paper • 2310.16836 • Published • 13