Editing Commonsense Knowledge in GPT . Anshita Gupta, Debanjan Mondal, Akshay Krishna Sheshadri, Wenlong Zhao, Xiang Lorraine Li, Sarah Wiegreffe, Niket Tandon. [paper] Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs. Peter Hase, Mona Diab, Asli ...
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...
这些基准测试包括 CommonsenseQA [198]、PIQA [199]、Xsum [200] 和 TriviaQA [201],以及 MMLU [202] 和 AGIEval [203] 套件中的特定任务,这些套件以其卓越的评估标准套件而闻名。所有评估均使用 OpenCompass 工具[204]进行,确保了标准化的测试环境。我们在这里为 Xsum 报告 ROUGE-1。编辑后的模型在通过五...
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...
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...
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. ...
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...
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. ...
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...