Summary of Struedit: Structured Outputs Enable the Fast and Accurate Knowledge Editing For Large Language Models, by Baolong Bi et al.
StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models
by Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Junfeng Fang, Xueqi Cheng
First submitted to arxiv on: 16 Sep 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper proposes a novel approach to editing outdated knowledge in natural language outputs of large language models (LLMs). The goal is to develop an ideal question-answering system that delivers answers with up-to-date knowledge. To achieve this, the authors introduce Structured Editing (StruEdit), which prompts LLMs to produce structured outputs consisting of reasoning triplets, and then removes outdated knowledge and refills it with up-to-date information in a single step. The proposed method outperforms other knowledge editing methods in terms of accuracy and latency. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Large language models are great at answering questions, but they can also provide outdated answers. To fix this, researchers need to find and replace outdated information in the natural language outputs. This is hard because it’s difficult to decide which parts to change and make sure the revised answer still makes sense. The authors of this paper suggest a new way to do this called Structured Editing (StruEdit). First, they get the large language model to produce answers that are structured like reasoning steps. Then, StruEdit removes any outdated information and fills it in with up-to-date facts all at once. This method works better than others at getting accurate answers quickly. |
Keywords
» Artificial intelligence » Large language model » Question answering
