Mina Carly is quite familiar with China.

But this was the first time for Eve Carly to come to this ancient Eastern country.

The experience along the way was a novel adventure for her.

Although my sister is in the imperial capital, she has almost never imagined coming to China.

The reason why I took this trip to China was because of Ewald Cherry’s suggestion.

Of course, this is only one reason.

On the other hand, it was because Lin Hui was in the Northern Territory, which was the most important reason why she came to China.

She couldn't wait to meet the genius who built the generative summarization algorithm.

After arriving at the Imperial Capital International Airport, we went through a series of essential immigration procedures.

Eve Kali barely stayed in the Imperial Capital for a moment. After meeting up with Mina Kali, the two took the opportunity to go straight to the Northern Territory.

According to the process previously negotiated between Mizuki and MIT.

In the three days from the 23rd to the 25th, there were six academic symposia. Originally, three of the academic symposiums required Eve Carly to attend.

But Eve Carly's mind was full of forest dust, and she had no interest in attending academic conferences.

Therefore, these academic meetings were all avoided by Eve Carly on the excuse of illness.

Lin Hui, is such a stranger thousands of miles away worthy of making Eve Carly so excited?

Of course it is worth it. It is difficult for researchers who are not in related fields to understand what the generative summary algorithm proposed by Lin Hui means.

As Ewald Cherry said previously:

“The appearance of LIN HUI is like a dazzling light suddenly appearing in the dark and distant wilderness.

In the subfield of natural language processing text summarization, no matter how high he is, it is hard to praise him too much."

This statement is no exaggeration.

As the leader of a top research group in the field of text summarization.

Eve Carly is very clear about the reason why they failed to develop a generative summary algorithm before LIN HUI.

It's not because they don't work hard.

It's because the existing research on natural language processing involving text summarization has largely reached a dead end.

In this case, if other algorithm teams follow their research ideas.

Even if you surpass them, you won't be able to surpass them by much.

However, the generative text summarization algorithm proposed by Lin Hui easily overwhelmed their previous research results.

It's self-evident what this means.

For researchers in the field of natural language processing, the greatest significance of Lin Hui's proposal of a generative summary algorithm does not lie in the value of the algorithm itself.

And Yu Linhui most likely opened a new door in natural language processing.

Because of this, Lin Hui's research results on generative text summarization algorithms have been highly valued by MIT.

It was also because of this that she was so happy after the email she sent to Lin Hui requesting a meeting was approved by Lin Hui.

She seemed to hear Lin Hui calling to her: "The door to a whole new world is right there. Are you eager to open that door?"

Although this feeling is just a figment of Eve Carly's mind, Eve Carly will not give up even if there is even the slightest chance of it.

What does it mean to open a new door in the field of science?

This means that this is something that is very likely to be recorded in the history of scientific development!

Researchers at Eve Carley's level may have a so-so sense of "profit" like money.

But not everyone can calmly say "no" to a "name" that can be recorded in the history of scientific development.

Anyway, Eve Carly felt that she couldn't resist such an opportunity at all.

Although my heart is full of beautiful visions.

But Eve Carly was not entirely excited before meeting Lin Hui.

Eve Carly was still vaguely worried.

She was worried that her meeting with Lin Hui would not go as smoothly as she imagined.

Because I didn’t see Lin Hui.

Eve Carly already knew that Lin Hui was a genius who was only eighteen years old.

Geniuses who become famous at a young age are certainly something people look up to.

But not everyone wants to have such a genius around them.

Eve Carly has never seen a talent who became famous at a young age.

After all, the most indispensable thing in computers and computer-derived fields is genius.

Because I often encounter geniuses.

Eve Carly has a somewhat stereotyped image of such a young and famous talent.

Based on these stereotypes.

Although Eve Carly had many thoughts about Lin Hui.

But these assumptions are basically inseparable from labels such as young, smart, arrogant, extreme, arrogant, outspoken, and contemptuous.

But even if it is expected that Lin Hui may have many shortcomings.

Deep down in Eve Carly's heart, she was ready to tolerate Lin Hui's arrogance, extremeness, arrogance and other shortcomings.

After all, she came to this Eastern country with a learning mentality.

Before meeting Lin Hui, Eve Carly's only expectation for the upcoming exchange with Lin Hui was:

——In addition to receiving unreasonable offense, you can also obtain some academically valuable information.

After she actually met Lin Hui, she realized that her previous thoughts were somewhat off track.

Lin Hui is indeed very young and smart.

But she was not as arrogant, extreme, and arrogant as she had previously imagined.

Not only was he not as arrogant and arrogant as she had previously imagined.

Lin Hui is very handsome, has a good personality, is modest and elegant, and takes into consideration the feelings of others in his speech and behavior, making people feel very comfortable.

In addition to his warm personality, Lin Hui is also very thoughtful in dealing with others.

Although the apartment building where the exchange was held this time is not very gorgeous, it is better than the beautiful environment.

The best thing is that there is an artificial lake not far from here, which is more or less similar to the place where Eve Carly used to work.

Moreover, the form of this academic exchange is very similar to Eve Carly’s previous team exchange method.

Several people with similar interests and hobbies get together and start chatting.

All this gave Eve Carly a rare sense of intimacy in a foreign country.

Eve Carly was flattered by these thoughtful arrangements.

Apart from these, what Eve Carly cares most about is Lin Hui's academic attitude.

What surprised Eve Carly the most was Lin Hui’s academic attitude.

Although Lin Hui is far ahead of others in terms of research results, Lin Hui has no academic pretensions at all.

Lin Hui is very good at listening.

This is an extremely rare thing.

It seems more difficult to find an expert who is good at listening among natural language processing experts and scholars than to find a giant panda on the earth.

Many natural language processing experts and scholars are computer practitioners.

In Eve Carly's impression, such people have always expressed themselves, and what they are least good at is listening.

Maybe it’s not that I’m not good at listening, but I simply don’t like listening.

It seems that listening to other people's thinking lines and research status can easily remind them of the painful experience of debugging in their early years.

But the situation is very different here in Lin Hui. Lin Hui is very good at listening.

At the beginning of the symposium, Eve Carly originally planned to let Lin Hui express his opinion first.

As a result, Lin Hui signaled her to speak first, which made Eve Carly very uncomfortable.

For a while, she didn't know what to say, so she could only elaborate on the email she sent to Lin Hui not long ago.

The reason why Eve Carly introduced this aspect is because she couldn't think of a suitable starting point for the topic.

There is another reason, that is, Eve Carly is curious about how Lin Hui evaluates text similarity when building the LH text summary model.

But Eve Carly was too embarrassed to ask this question directly, so she had to make insinuations.
To be continued...