ElicitElicit is an AI-powered paper retrieval and analysis tool that allows you to quickly find answers, extract core paper content, and simplify literature review and screenin...
The most time-consuming part of writing a paper is often not starting to write, but the preparation before that: searching databases, reading abstracts one by one, manually organising data tables, and repeatedly confirming whether the research methods are reliable. If these processes can be handled by AI, research efficiency will make a qualitative leap. Elicit is exactly such an academic research assistant built on artificial intelligence technology. It leverages advanced Natural Language Processing (NLP) and Large Language Models (LLM, e.g., GPT-3) to automate the entire research chain from literature retrieval to data extraction and topic discovery, allowing researchers to focus on the parts that truly require thinking.
Official website: https://elicit.com/
Different from traditional keyword search engines, Elicit understands “research questions” rather than isolated keywords. Even if your wording is not precise, it can identify papers related to your research topic, which is particularly useful in interdisciplinary retrieval or when first entering a new field. In addition to finding literature, it can also be used to filter research types, automate research processes, brainstorm, and summarise content, covering multiple stages of empirical research.
Elicit’s functional design always revolves around the three words “save time”. The following are the most frequently used capabilities:
These five capabilities together exactly correspond to the complete path of a literature review: finding literature — reading literature — extracting data — identifying patterns — supplementing new knowledge. For researchers who have to process dozens of papers every day, the time saved is considerable.
Suppose you have just taken over an interdisciplinary project in machine learning and know nothing about the mainstream methods and controversial points in the field. Submit your research question to Elicit, and it will first retrieve highly relevant papers, then help you quickly screen with a one-sentence abstract: which ones focus on methods, which on experiments, and which are just reviews — all clear at a glance. Then, with the topic discovery function, after several rounds of analysis, the research context of this field will take shape roughly.
When conducting a systematic review, you often need to extract information such as sample size, experimental design, and outcome measures from dozens of papers. Elicit’s data extraction function can automatically organise these contents into a structured table. You only need to check and supplement, instead of going through each original paper one by one. The work that originally takes several days can often be compressed to half a day.
For researchers in empirical research fields such as biomedicine and machine learning, the efficiency improvement brought by Elicit is particularly significant.
Elicit offers two versions: free and paid. The free version is suitable for personal use and is enough to experience the main functions such as literature search and abstract generation. The paid version provides higher data extraction limits and priority customer support, making it suitable for research teams with large batch processing needs. It is recommended to first use the free version to run through the process, then upgrade as needed.
No. Elicit is positioned as an “assistant” rather than a “replacement”: it is responsible for quick location, initial screening, and organisation. The final critical judgement and methodological review still need to be completed by the researcher. Treat it as an accelerator, not a replacement, to maximise its value.
It has the most prominent support for empirical research fields such as biomedicine and machine learning, while also meeting the research needs of other fields. As an online tool, Elicit supports multiple language models and mainstream browser environments. You can use it directly after registering an account without complex configuration.
When you first start using it, you may as well practice with a small topic: for example, ask it to sort out representative literature on a certain concept within ten minutes, then verify the results manually. After a few attempts, you will master the skills of asking questions, and gradually distinguish which tasks are worth handing over to AI and which must be handled personally. When a literature review changes from “drudgery” to efficient conversations, you will have more time for real thinking and writing.
