Editing models with task arithmetic. (ICLR 2023) Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, Ludwig Schmidt, Hannaneh Hajishirzi, Ali Farhadi. [paper] Editing Common Sense in Transformers. (EMNLP 2023) Anshita Gupta, Debanjan Mondal, Akshay Krishna Sheshadri, Wenlong Zhao, Xiang ...
Task Definition Deployed models may still make unpredictable errors. For example, LLMs notoriously hallucinate, perpetuate bias, and factually decay, so we should be able to adjust specific behaviors of pre-trained models. Knowledge editing aims to adjust base model's $(f_\theta)$ behavior on ...
Use AI models like Claude Sonnet out of the box, or bring your own key to access models from Azure, Anthropic, Google, Ollama, OpenAI, and OpenRouter. An expert on your codebase Your codebase is indexed locally and remotely (on GitHub) to understand what's relevant, enabling fast, cont...
"expand": "fields","fields": {"summary": {"required": true,"schema": {"type": "string","system": "summary"},"name": "Summary","hasDefaultValue": false,"operations": ["set"]},// other fields removed for brevity..."components": {"required": false,"schema": {"type": "array...
This scheme applied to Artificial Neural Networks (ANN) is known with the name of Multitask Learning (MTL). So, the information coming from the related secondary tasks provide a bias to the main task, which improves its performances versus a Single-Task Learning (STL) scheme. However, this ...
But there’s more than just fiction here. Brad sat down with Howard for days, and compiled an amazing set of interviews about the history of every one of these pieces. Howard’s recollections are not always accurate (I was there for some of them), but they are funny, and moving, and...
摘要: In real life, the task learning is reinforced by the related tasks that we have learned or that we learn at the same time. This scheme applied to Artificial Neural Networks (ANN) is known with the nam会议时间: 2007 被引量: 2 ...
Models Methods MQuAKE Arithmetic Scientific New Info Debiasing I Debiasing II MCQ T/F Llama-3-8B-Instruct Fine-tuning 11.2 74.1 11.1 30.3 9.2 15.9 - Llama-3-8B-Instruct KN 2.8 80.4 82.1 66.6 - - Llama-3-8B-Instruct ROME 4.0 80.5 81.4 69.1 - - Llama-3-8B-Instruct RAG 9.7 84.0 81...
with tasks in it. (Taskgroup is then not visible anymore) then it takes +/- 3> seconds to click on each step and see the parameters/code on the right of the screen. We can make screenshots but that is not helping how the slowness is behaving. Maybe it has to do with the task...
请根据上图,按照翻译记忆工作的基本逻辑从以下8项(ABCDEFGH)中选择正确的任务,将此流程图补充完整。Please select from below the right task to complete this flowchart. (注意,以下选项中有两点是多余的。 Notice: two of them are redundant) 方框1 中应填入任务___;Box 1 should be filled with___; ...