Wait, it seems like we can publish a paper!

Lin Hui suddenly thought of this.

In fact, Lin Hui had previously thought about publishing a paper.

But at that time, Lin Hui felt that publishing a paper as a high school student might be a bit shocking, so he shelved the idea.

But things are different now. Now Lin Hui has transformed into a prospective freshman majoring in computer science at MIT.

With this level of status, it seems that Lin Hui is not too much to poke a hole in the sky at an academic level.

Is MIT good at computer science?

Of course it’s cool!

Take, for example, the content of professional courses taught by computer majors around the world.

Almost half of the content is inextricably related to the computer science major at MIT.

At this point in time, MIT’s computer science major is well-deserved to be number one in the world.

Of course, it’s the same as having two top universities in the country.

There are also two universities with the world's number one computer science major.

Besides MIT, the other one is Stanford University.

The two schools can be said to be evenly matched in computer science.

(Generally speaking, UC Berkeley computers are not weak either.

However, in the eyes of Chinese people, branch schools generally have little sense of existence)

Despite this, MIT remains one of the most competitive universities in the world for admission.

The threshold for such an institution is naturally extremely high.

After receiving admission notice from MIT.

Lin Hui saw the announcement from MIT on the official website of MIT:

This year, MIT received a total of 18,356 undergraduate and 19,446 graduate applications for the 2014-15 academic year.

Only 1447 (7.9%) and 2991 (15.4%) applicants were admitted respectively.

The number of students who actually study may be even less. After all, the choice is a two-way street.

Although some people can be admitted, they willfully choose not to go.

This is of course very flexible, but Lin Hui still can't do this willfully in a short period of time.

There is no need to be too willful, steady development is the last word.

At this time, I was very happy to be one of the 1,447 lucky people.

After all, Lin Hui is currently at a level that many people will find difficult to reach in their lifetimes.

At this point in time.

It is truly an honor to be a member of MIT's computer science program.

But at the same time, Lin Hui also knew clearly.

It won't be long before he becomes the pride of MIT.

Studying at MIT is just the beginning for Lin Hui, and there is still a long way to go.

In addition, thinking about the future is still a bit far away now, and the most important thing is to grasp the present.

A thousand miles begins with a single step.

In the short term, Lin Hui still needs to move forward step by step.

You may not be able to go very fast this way.

But it will definitely go very steadily.

Lin Hui must also walk very steadily!

Even though Lin Hui was not involved in politics, he was burdened with the big secret of traveling across time and space.

The path Lin Hui wants to take does not allow for missteps.

At this time, Lin Hui's most secure way forward academically is to publish a few papers.

Even publishing a paper is not something out of nothing.

After all, Lin Hui has already obtained related patents on generative text summarization.

After applying for a patent, it is also common sense to publish several papers as supplementary explanations for the previous patent.

But which specific field of research should be published?

This is a problem.

Originally this shouldn't be a problem.

According to Lin Hui’s original idea, it would be good if the entire generative text summary could be published as a paper in a journal with a relatively high impact factor.

But Lin Hui never expected that in this time and space, people's research on natural language processing would be really slow.

Judging from the previous email Eve Carly sent to Lin Hui.

Although in this time and space, Western academic circles have devoted a lot of effort to the study of text summarization.

However, the research progress of text summarization in the West in this time and space is still somewhat different from the research status of text summarization in the West in the previous time and space.

Although objectively speaking the difference is not too big.

But when measured comprehensively, the research on text summarization in the Western world in this time and space is two years slower than in the previous time and space.

(As for China, it goes without saying that the academic community at this time was still accustomed to crossing the river by feeling the sauce.

To be honest, this approach is not completely wrong and can avoid wasting resources.

But it would be too passive to always be like this.

If you want to be the boss, you must dare to be the first in the world)

Although the research in related fields in this time and space is only two years slower in pace.

But two years is enough time to change a lot of things.

What's more, Lin Hui already had seven years of information advantage.

Under the circumstances, Lin Hui had an information advantage of nearly ten years.

Some people may wonder how Lin Hui can fully utilize his information advantage after only working for three years.

Although Lin Hui only worked for three years in his previous life, it is not an exaggeration to say that he has six years of work experience.

As for where did the extra three years of work experience come from?

I'll be in tears if I talk about it too much, and it's the result of overtime work.

I have to say that these are all "blessings".

What a blessing it is to work overtime.

How could Lin Hui have a chance to be reborn if he didn't work crazy overtime like this?

Even if there is a chance to be reborn.

How could Lin Hui remember those boring things so deeply if he didn't work overtime like crazy?

But these are all things of the past.

Because of various experiences in the past, Lin Hui is a well-deserved strong man in this time and space.

As for other researchers in the same field, Lin Hui respects their efforts.

But I have to say: Sorry, you are really weak!

It's not that Lin Hui is just talking nonsense.

All the technologies involved in the generative text summarization algorithm that Lin Hui had previously developed.

If it is completely understood by the research team in this time and space.

At least it can accelerate the research progress of natural language processing and neural network learning around the world in this time and space by nearly a year.

Of course, this means that if you understand it immediately, it can speed up the time by nearly a year.

If it takes these research teams two or three years to make corresponding progress, it will actually hinder their normal progress.

Let’s leave aside the patent of generative text summarization.

Just the LH text summary accuracy measurement model that Lin Hui came up with when he was working on generative text summarization is awesome enough.

If this technology can be mastered by the research team of this time and space, it will also help their research.

Although Lin Hui had clearly stated how to build the model at the beginning, he still needed step-by-step instructions.

(To build a model, you must first use a language model to evaluate the fluency of the language generated by the algorithm, then use a similarity model to evaluate the semantic correlation between the text and the abstract, and finally, in order to effectively evaluate the degree of recurrence of entities and proprietary words, introduce the original text
To be continued...