Ask Academic-Academic Edition codex

Programmers have been completely changed by Codex. Instead of typing out code line by line, they can throw requirements to AI and let it write code, run tests, fix bugs, and deliver in a closed-loop. So here comes the question: isn’t the work that scientific researchers do every day “configuring environments, running experiments, copying codes, and checking

Introduction

Programmers have been completely changed by Codex. Instead of typing out code line by line, they can throw requirements to AI and let it write code, run tests, fix bugs, and deliver in a closed-loop.

So here comes the question: isn’t the work that scientific researchers do every day also the physical work of “setting up environments, running experiments, copying codes, checking literature, and writing reviews”?

Now, the NLP team of Fudan University has moved this logic to scientific research and made a realAcademic version Codex asks about academics。

It is not a simple tool for searching documents, but a fully automatic scientific research agent that can connect to the server, apply for a GPU, run experiments, and write reviews.

You are responsible for coming up with ideas, and leave the rest of the repetitive work to it.

Official website address: https://qiewenpaper.com/zh?utm_source=tboxn

1. Fully automatic paper reproduction: can run with zero cards and zero computing power

The biggest lie in the scientific research circle is that "as long as the idea is good, you can publish a top journal without a card."

The card is monopolized by the big group, fellow students compete for the cluster every day, and I am stuck in the CUDA version conflict and cannot move.

This is the true portrayal of most scientific research dogs.

Ask Academic Agent directly to smooth this path.

Click on [Dissertation Reappearance]. In the past, you would have to wait in line to borrow a card until next month. Now, just click on it and someone will move the bricks for you.

  • Calculate the complexity first: upload the PDF, and AI will automatically evaluate the difficulty of the experiment, code availability, and even estimate how many A100/H100 sheets you need.
  • Computing power and mirroring in seconds: no card at hand? One-click application for GPU server in the background supports multiple models (such as directly opening an A800), and automatically selects the latest image of PyTorch + CUDA.
  • Autonomous deployment: It will connect to the remote server by itself, check SSH, GPU memory, RAM, Python version, and set the environment in place.
  • Hard-core self-study ability (the most amazing thing): If it encounters a dependency conflict midway (such as Transformers 4.52 vs 5.3), it will never pretend to be dead - it will independently try to downgrade the installation and rewrite the relevant scripts until the Pilot Test completely runs.
  • The whole process is observable: You only need to stare at the console like watching a live broadcast and watch it run through the entire closed loop from environment construction to experimentation.

2. Discovery of inspiration: Don’t be a paper porter, directly predict the direction of improvement

During the topic selection period, I am most afraid of running out of ideas, or having a direction but not knowing "whether it can be done with the computing power at hand, and whether it is worth investing in."

Standing on the shoulders of giants and finding gaps in innovation is the correct way to read top issues.

Turn on [Inspiration Discovery], and it will use Socratic inspired dialogue like a tutor to twist the scattered ideas in your mind into ropes step by step:

  • As sharp as a reviewer: After in-depth search of the entire network, it can accurately identify the fundamental limitations of existing papers (in actual testing, it can point out the shortcomings of a visual document retrieval paper in the Query-agnostic construction).
  • Tell it clearly: Tell you clearly "Has anyone mentioned this point so far, what are the closest works, and what are the essential differences?"
  • Plans are generated instantly: a logically rigorous and executable new research plan and improvement path are directly generated within a few minutes.

3. Hard-core long task: 200 documents turned into a 200,000-word review overnight

The most energy-consuming part of writing a large paper or developing a topic is the literature review. With background computing power, you can directly assign a long task to the Agent:

"Download all these 200 papers and write a review according to 9 categories. Each article should be more than 1,000 words. All charts and formulas are required."

After giving the order, go to sleep. Agent will run crazily in the background all night long, independently combing through massive documents, and produce an in-depth review of 200,000 words+. When I woke up the next day, I directly collected the rent and inspected it.

4. Basic abilities are also extremely solid

In addition to the above "black technologies", the foundation of daily scientific research is also stable:

  • Semantic-level deep search: no longer rigid keyword matching, but understanding your research intentions like a tutor. You can directly ask "What are the latest implementation paths of large language models in the medical vertical field?" It will break down the problem, perform multi-dimensional verification, mark the papers that really fit as Perfect and generate a customized summary.
  • Knowledge base dialogue: Zotero-like citation management + unlimited levels of folders. Upload the dusty PDFs on the hard drive to start AI Q&A, and the information becomes a "talking tutor" instantly.
  • Full-text translation: Translate while retaining formulas, charts and layout, optimizing for academic context and completely saying goodbye to computer translation and layout confusion.
  • Intelligent tracking subscription: In customized subdivisions (such as ArXiv’s AI classification), the cutting-edge Paper comes to you.

The essence of scientific research should be to generate insights, not to move inefficiently among massive amounts of information.

What Qiewen Academic does is to take over all the repetitive work of translation, sorting, setting up environments, and running experiments, so that your cognitive resources can truly focus on "generating insights."

? Welfare: The ultimate solution to free computing power

Some people will definitely ask: This kind of fully automatic Agent must have very expensive computing power, right?

The official gave a true and conscience channel:

20% off coupon:665160(Available for pro and monthly/yearly members above pro)

Coupon code is limited for a limited time only! First come first served! Valid until 2026.8.30

Stop being envious of other people’s cards and resources. If you don’t have resources, use tools to trick yourself.

Fudan has put the “Academic Codex” in front of you. Now go to the web page to get your own fully automated scientific research brain.

Official website address: https://qiewenpaper.com/zh?utm_source=tboxn


Visits:12
Updated:2026-11-05