Should We Really Edit Language Models? On the Evaluation of Edited Language Models

Turnitin 降AI改写 早检测系统 早降重系统 Turnitin-UK版 万方检测-期刊版 维普编辑部版 Grammarly检测 Paperpass检测 checkpass检测 PaperYY检测
[Free GPT-4]
[DeepSeek]
[PDF] arxiv.org

Bring Your Own Knowledge: A Survey of Methods for LLM Knowledge Expansion

M Wang, A Stoll, L Lange, H Adel, H Schütze… - arxiv preprint arxiv …, 2025 - arxiv.org
Adapting large language models (LLMs) to new and diverse knowledge is essential for their
lasting effectiveness in real-world applications. This survey provides an overview of state-of …
Зберегти Послатися Пов’язані статті Показати у форматі HTML
[Free GPT-4]
[DeepSeek]
[PDF] arxiv.org

Can LLMs Maintain Fundamental Abilities under KV Cache Compression?

X Liu, Z Tang, H Chen, P Dong, Z Li, X Zhou… - arxiv preprint arxiv …, 2025 - arxiv.org
This paper investigates an under-explored challenge in large language models (LLMs): the
impact of KV cache compression methods on LLMs' fundamental capabilities. While existing …
Зберегти Послатися Пов’язані статті Кількість версій: 2 Показати у форматі HTML