http://gnugat.github.io/2024/03/24/chat-gpt-academic-prompt-engineering.html WebApr 7, 2024 · To investigate this question, we develop generated knowledge prompting, which consists of generating knowledge from a language model, then providing the knowledge as additional input when answering a question. Our method does not require task-specific supervision for knowledge integration, or access to a structured …
Generated Knowledge Prompting for Commonsense Reasoning
WebMar 24, 2024 · Generated Knowledge prompting. Generated Knowledge prompting allows Large Language Models to perform better on commonsense reasoning by having … WebKnowledge Generation Prompting : The generated knowledge can be useful for getting to the right answer for a specific task. Presented in the paper by Liu et al. 2024, it uses a … cambridge university draftsman
Yejin Choi - University of Washington
WebOct 15, 2024 · language models themselves. We propose generating knowledge statements directly from a language model with a generic prompt format, then selecting the knowledge which maximizes prediction probability. Despite its simplicity, this approach improves performance of both off-the-shelf and finetuned language WebGenerated knowledge prompting for commonsense reasoning. J Liu, A Liu, X Lu, S Welleck, P West, RL Bras, Y Choi, H Hajishirzi. ACL 2024, 2024. 28: ... Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation. A Liu, A Fang, G Hadjeres, P Seetharaman, B Pardo. WebWith the emergence of large pre-trained vison-language model like CLIP,transferrable representations can be adapted to a wide range of downstreamtasks via prompt tuning. Prompt tuning tries to probe the beneficialinformation for downstream tasks from the general knowledge stored in both theimage and text encoders of the pre-trained vision … cambridge university digital roads