19 citations · 32 across the 7 of their papers we have counts for
4 papers · 2 filters
Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models
Luohe Shi, Yao Yao, Zuchao Li +2
Large language models (LLMs) have rapidly advanced and demonstrated impressive capabilities. In-Context Learning (ICL) and Parameter-Efficient Fine-Tuning (PEFT) are currently two…
Keep the Cost Down: A Review on Methods to Optimize LLM' s KV-Cache Consumption
Luohe Shi, Hongyi Zhang, Yao Yao +2
Large Language Models (LLMs), epitomized by ChatGPT's release in late 2022, have revolutionized various industries with their advanced language comprehension. However, their effici…
GKT: A Novel Guidance-Based Knowledge Transfer Framework For Efficient Cloud-edge Collaboration LLM Deployment
Yao Yao, Zuchao Li, Hai Zhao
The burgeoning size of Large Language Models (LLMs) has led to enhanced capabilities in generating responses, albeit at the expense of increased inference times and elevated resour…
SirLLM: Streaming Infinite Retentive LLM
Yao Yao, Zuchao Li, Hai Zhao
As Large Language Models (LLMs) become increasingly prevalent in various domains, their ability to process inputs of any length and maintain a degree of memory becomes essential. H…