consensus ai

Consensus AI Official Website, AI-based academic research paper abstract search engine

About Consensus AI

The Consensus product itself is a paper search tool, with source data from Semantic Scholar and trained on tens of thousands of papers annotated by PhDs. The plugin's functionality is still in the testing phase, but it still holds great value for scientific research or blog writing. Most new AI tools, like ChatGPT, are generative, meaning the AI model actually generates text based on prompts.

Consensus AI Official Website:https://consensus.app/

Unfortunately, this means these tools often "hallucinate" and fabricate false information. Consensus uses an "extraction" method, quoting user questions word for word from papers. Simply put, Consensus finds answers in papers based on user questions, rather than generating answers itself! Due to the use of search and extraction methods, Consensus provides a link to the paper for each answer!

Use Cases for Consensus

Search papers without keyword matching
Without specific keywords, just tell it the topic of the paper you want, and it will throw a bunch at you, with each paper including the author, year, journal, and a one-sentence summary.
Answer simple yes or no questions with detailed explanations and sources

Synthesize various viewpoints from papers on a given topic
Write a simple review and provide sources

How is Consensus?

In search results, Consensus appears to be a search engine related to scientific research. It uses natural language processing technology to help users find research papers related to their research questions and provide relevant paper snippets.

Consensus' main function is to provide credible answers and insights related to user queries by searching through peer-reviewed scientific research. It uses advanced language model technology to provide an intuitive search experience with more flexible query methods. Unlike traditional academic search engines, Consensus not only provides a list of paper links but also extracts snippets from relevant papers to quickly find papers that users need to further research or provide insights they are looking for.

Consensus is very useful for scientific research. For example, researchers can input research questions into Consensus to quickly find the positions of papers related to their hypotheses, and further decide which papers to cite in their work. For literature reviews, Consensus can help find papers related to multiple aspects of the research question. Additionally, for those conducting research and looking for unexplored topics, they can ask questions in Consensus to see if they can find gaps in the literature.

Consensus uses the Semantic Scholar database, which contains over 200 million papers covering various scientific fields.