學習與研究

Grad student literature review: from keyword overload to a usable review draft

Use AI to quickly expand a fuzzy research topic into a full literature map, gather the key papers, see the research lineage, and produce a cited review draft you can rewrite straight into your thesis.

  1. 1. Use question-style search to pin core papers

    Write the research question as a full question (e.g., "Does remote work reduce employee productivity?") into Elicit and Consensus, letting AI extract conclusions and evidence strength directly from papers to quickly filter 20 to 30 highly relevant ones.

  2. 2. Fill the research lineage via citation networks

    Put the seed papers found in the previous step into ResearchRabbit and Semantic Scholar, expanding a graph of citing and cited relationships to add classic origins and latest extensions, so you don't miss a whole school of thought.

  3. 3. Verify whether citations are supported or refuted

    Put the key claims you plan to cite into Scite to see whether that paper is "supported, mentioned, or contrasted" by later research, removing overturned or contested conclusions so your argument holds up.

  4. 4. Feed the whole set of papers to AI for cross-organization

    Upload all the filtered PDFs to NotebookLM, build a dedicated research notebook so AI answers only from these sources, and organize each work's methods, samples, and differences in conclusions with original citations.

  5. 5. Produce a structured review draft

    Ask Claude to write the review by thematic lineage (not a paper-by-paper laundry list), noting which studies each paragraph corresponds to and pointing out the research gap, as a rewritable base for chapter two of your thesis.

FAQ

Will AI find fake papers that don't exist?

Elicit, Consensus, and Semantic Scholar search real paper databases directly and don't fabricate. What to watch out for are general chat tools like ChatGPT, which may generate nonexistent citations — so use academic search tools first for finding literature, and verify every DOI against the original database.

Is NotebookLM free? How many papers can I upload?

NotebookLM currently offers a free plan, and a single notebook can hold dozens of sources — plenty for a typical review. Because it answers only from your uploaded sources, hallucination risk is far lower than general chat tools, making it great for organizing paper reading.

Can the review written this way be submitted directly?

No — AI produces a draft and skeleton. You must re-read the originals, confirm every point and citation is correct, rewrite in your own words, and add critical perspective, or you risk academic-ethics and plagiarism issues. Treat AI as an organizing accelerator, not a ghostwriter.