Intensive Reading of English-Language Papers: The Difference Across Six Stages Before and After Using a Graduate AI Assistant
Intensive reading of English-language papers is the same task with six stages, and the before-and-after differences come down to this—the difference is not English proficiency, but that I handed several stages over to a Graduate AI Assistant.
Search
Before: I pieced together keywords in the search box; if a few attempts returned nothing, I assumed no one had done it.
Now: First write the research question as one sentence and give it to MuchSci's Paper Search Assistant to break it into search dimensions (Crossref's 180 million records; supports search by title, author, and DOI; can filter by year and citation count; once matched, DOI and citation information are automatically completed).
Starting Out
Before: I opened the abstract and read on, and when I finished I didn't know whether the paper was worth reading closely.
Now: First determine whether the paper is a "background review" or an "original paper strongly related to the topic," then decide how deeply to read it. Reading both types of literature in the same way means that what should be read quickly can't be read quickly, and what should be read closely is skimmed over.
Reading Itself
Before: I machine-translated the whole text and guessed sentence by sentence; by the time I got to the later part, I had forgotten the earlier part.
Now: Paper translation uses paragraph-level parallel reading—the translation and the original always stay aligned in position, with bidirectional academic translation between Chinese and English, consistent formulas and terminology, and support for full PDFs. Use the translation to understand and the original to judge.
Numerical Values
Before: I copied the numbers from the translation into my notes.
Now: Parameters, numerical values, chemical formulas, and conclusions are always checked against the original, including supplementary materials. The translation is not a basis for facts; I learned this through three days of rework.
Terminology
Before: I looked things up as I read and forgot them once I finished, so the same concept ended up with two translations in my notes.
Now: I record them on the spot in the glossary (Chinese translation + original English term). One more reminder: do not use the Chinese translation to search databases—you won't find it, and it is easy to be criticized; the original English term and DOI are what you need to keep with you.
After Reading
Before: I closed the PDF, and my Downloads folder grew messier and messier; when I needed something two or three years later, I couldn't find any of it.
Now: The translated draft and key points go together into the personal knowledge base (supports import of PDF, DOCX, PPTX, XLSX, TXT, and MD; personal use by default, not shared). Handwritten notes, whiteboard photos, and files exported from other software go into the personal database layer, which has broader sources, and reports generated by AI transcription can also be included.
One-sentence summary: Before, I spent effort on "understanding"; now I spend effort on "what remains after reading."