TASK|AWARE ADAPTIVE KV CACHE COMPRESSION FOR LONG ...
Cache replacement policies - Wikipedia
In computing, cache replacement policies are optimizing instructions or algorithms which a computer program or hardware-maintained structure can utilize to ...
LLM profiling guides KV cache optimization - Microsoft Research
Our paper, “Model Tells You What to Discard: Adaptive KV Cache Compression ... For this, it is possible to construct a KV cache that removes data ...
Liquid Foundation Models: Our First Series of Generative AI Models
LFMs have a reduced memory footprint compared to transformer architectures. This is particularly true for long inputs, where the KV cache in ...
This raises concerns about the generalization capabilities of models fine-tuned with LoRA, especially when tested outside the adaptation task's distribution.
This raises concerns about the generalization capabilities of models fine-tuned with LoRA, especially when tested outside the adaptation task's distribution.
HuggingFace 每日AI论文速递| 小宇宙- 听播客
... Long-context Reasoning（大型语言模型在长上下文推理中的自我改进） [01 ... Aware Tuning Framework（M-Longdoc：多模态超长文档理解和检索 ...
Furthermore, we have extensively evaluated our method on various long-context benchmarks including LongBench, where it achieves a 3x reduction in KV cache ...
Furthermore, we have extensively evaluated our method on various long-context benchmarks including LongBench, where it achieves a 3x reduction in KV cache ...