We find that directly applying the MEMIT editing algorithm results in sub-par performance and improve it for the commonsense domain by varying edit tokens and improving the layer selection strategy, i.e., $MEMIT_{CSK}$. GPT-2 Large and XL models edited using $MEMIT_{CSK}$ outperform best...
Towards Tracing Factual Knowledge in Language Models Back to the Training Data. Ekin Akyürek, Tolga Bolukbasi, Frederick Liu, Binbin Xiong, Ian Tenney, Jacob Andreas, Kelvin Guu. (EMNLP 2022) [paper] Prompting GPT-3 To Be Reliable.
2023-9-21, the EasyEdit has added the support for Parameter-Efficient Fine-Tuning through AdaLoRA to inject knowledge into the LLM. 2023-8-31, the EasyEdit has added the support for official fine-tuning API for gpt-3.5-turbo to customize ChatGPT for your editing cases. 2023-8-15, we re...
2.4.3. Impact of Knowledge Editing on General Tasks 在本节中,我们将探讨应用知识编辑方法对语言模型在各个领域的性能的影响。我们的主要目标是确定合并与特定事实知识相关的编辑是否会无意中阻碍模型在不相关领域的熟练程度。我们选择了一系列基准,涵盖常识推理、一般智力和世界知识等领域。这些基准测试包括 Commons...
Forlocality, in addition to testing unrelated instances, we also provide tests on distracting (reference: Detecting Edit Failures...), other attribution, and other downstream tasks (such as commonsense reasoning). Forportability, it tests whether the model can apply edited instances for inference. ...
GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning (Nov., 2023) MagicDance: Realistic Human Dance Video Generation with Motions & Facial Expressions Transfer (Nov., 2023) MoVideo: Motion-Aware Video Generation with Diffusion Models (Nov., 2023) Ma...
Language models as knowledge base, locating knowledge in large language models Lifelong learning, unlearning and etc. Security and privacy for large language models Comparisons of different technologies 📜 Resources This is a collection of research and review papers of Knowledge Editing. Any suggestions...
PAE: utilizing GPT-4 to evaluate the personality traits in generated text. While for assessingAccandTPEI, you can download the trained classifier fromhere. Comparisons of different technologies Evaluation The knowledge editing process generally impacts the predictions for a broad set of inputsthat are...
For locality, in addition to testing unrelated instances, we also provide tests on distracting (reference: Detecting Edit Failures...), other attribution, and other downstream tasks (such as commonsense reasoning). For portability, it tests whether the model can apply edited instances for inference...
For locality, in addition to testing unrelated instances, we also provide tests on distracting (reference: Detecting Edit Failures...), other attribution, and other downstream tasks (such as commonsense reasoning). For portability, it tests whether the model can apply edited instances for inference...