于是,learn to learn 或者 hyper network 就诞生了——我们可以训练一个网络,来预测另一个网络的权重。 Editing Factual Knowledge in Language Models这篇文章设计了这种方法。 hyper network 更新参数 如上图所示,f是原始模型架构,\theta是原始模型参数,g是hyper network。g接收 原始输
Neural language models (LMs) have been extensively trained on vast corpora to store factual knowledge about various aspects of the world described in texts. Current technologies typically employ knowledge editing methods or specific prompts to modify LM outputs. However, existing knowledge editing ...
Editing Factual Knowledge in Language Models. (EMNLP 2021) Nicola De Cao, Wilker Aziz, Ivan Titov. [paper] [code] Fast Model Editing at Scale. (ICLR 2022) Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D. Manning. [paper] [code] [page] ...
2024-07-23, we release a new paper: "Knowledge Mechanisms in Large Language Models: A Survey and Perspective", which reviews how knowledge is acquired, utilized, and evolves in large language models. This survey may provide the fundamental mechanisms for precisely and efficiently manipulating (edi...
Modern language models capture a large body of factual knowledge. However, some facts can be incorrectly induced or become obsolete over time, resulting in factually incorrect generations. This has led to the development of various editing methods that allow updating facts encoded by the model. Eva...
Context: The rapid advancement of AI technology and natural language processing has created a conducive environment for the development of sophisticated editing tools. The increasing demand for high-quality written content in a digital-first world has further accelerated the adoption of these technologies...
Rather than training its own models, EdMon integrates third-party AI services and lets users switch engines based on language or accent. “We’re not trying to compete with Meta or OpenAI. We just pick the best tools available and slot them in.” ...
The repository for our paper: Neighboring Perturbations of Knowledge Editing on Large Language Models - mjy1111/PEAK
Paper tables with annotated results for Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models
Editing Large Language Models: Problems, Methods, and Opportunities zjunlp/easyedit • • 22 May 2023 Our objective is to provide valuable insights into the effectiveness and feasibility of each editing technique, thereby assisting the community in making informed decisions on the selection of ...