Summary of Can Large Language Models Detect Misinformation in Scientific News Reporting?, by Yupeng Cao et al.
Can Large Language Models Detect Misinformation in Scientific News Reporting?
by Yupeng Cao, Aishwarya Muralidharan Nair, Elyon Eyimife, Nastaran Jamalipour Soofi, K.P. Subbalakshmi, John R. Wullert II, Chumki Basu, David Shallcross
First submitted to arxiv on: 22 Feb 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Social and Information Networks (cs.SI)
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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 presents a solution to automatically detect misinformation in scientific reporting using large language models (LLMs). The authors address the challenge of verifying claims in scientific news articles without relying on explicit, labeled claims. They create a new dataset, SciNews, containing 2.4k scientific news stories with paired abstracts from the CORD-19 database. The dataset includes human-written and LLM-generated news articles, making it comprehensive in capturing the trend of using LLMs to generate popular press articles. The paper proposes several baseline architectures using LLMs to detect false representations of scientific findings in the popular press, testing various prompt engineering strategies on GPT-3.5, GPT-4, and Llama2-7B, Llama2-13B. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper is about a way to find out if news stories about science are true or not. Scientists often write news articles that can be biased or false, so it’s hard to know what to believe. The researchers created a special set of news articles with real and fake information to test their method. They want to see if they can use big language models (like computers that understand language) to find out which stories are true and which ones are not. |
Keywords
» Artificial intelligence » Gpt » Prompt
