A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Unknown
A comprehensive survey of speculative decoding techniques for efficient large language model inference.
D. Du, Gu Gong, Xiaowen Chu
A comprehensive survey of model quantization and hardware acceleration techniques for vision transformers.
Unknown
This survey provides a comprehensive overview of low-bit model quantization techniques for deep neural networks, including a curated list of resources.
Unknown
This survey comprehensively reviews model quantization techniques for deep neural networks in image classification, covering methods, challenges, and future directions.
Unknown
This survey systematically reviews knowledge distillation techniques for transferring capabilities from large proprietary LLMs to smaller models.
Unknown
A comprehensive survey of knowledge distillation methods, covering recent techniques and categorizing approaches in the field.
Unknown
A comprehensive survey of knowledge distillation advancements, covering foundational techniques, relation-based methods, and novel approaches.
Unknown
This survey comprehensively reviews knowledge distillation techniques for model compression and acceleration.
Unknown
This survey introduces Large Multimodal Reasoning Models (LMRMs) and proposes the concept of native LMRMs (N-LMRMs) that integrate perception, reasoning, and planning.
Songyue Han, Mingyu Wang, Jialong Zhang, et al.
A comprehensive survey of LLMs covering architectures, key technologies, interdisciplinary integrations, optimization, applications, and challenges.
Laura von Rueden, Sebastian Mayer, Katharina Beckh, et al.
This paper provides a taxonomy and survey of methods that integrate prior knowledge into machine learning to improve learning with limited data.
Unknown
A survey and benchmark of parameter-efficient fine-tuning methods for pre-trained vision models.