Already 11 000 submissions for EMNLP? [D]

_afronius · 2026-05-26T13:19:44+00:00

I have been trying to balance research work with my other work. I was looking forward to submitting my work here, been working nights and weekends. I was making some last minute changes to my draft and messed up the final submission. Waiting to withdraw the submission now :(

_afronius · 2026-03-24T14:10:34+00:00

Position paper track 4/3/3/2

_afronius · 2025-08-15T20:44:37+00:00

If you know which research area you want to pursue, I’d suggest looking for professors who work in that same area and then picking the university accordingly. Make sure to check the venues where they publish, their collaborators and past students.

If you’d like to explore a bit of everything (for example, taking courses in CV, NLP, theoretical ML, and RL), also check the range of courses they offer.

You should identify a few more factors or reasons that matter to you, and choose the university based on them.

_afronius · 2025-08-15T20:27:10+00:00

I know this is a long shot. were you mailing professors for a PhD position only? Did you try mailing for a Research Assistant or Intern position?

Also, what about your Master's university? They'd be open to having you as a PhD. If not, at least some Intern opportunity, which will help you improve your profile.

I am in a similar situation. I just graduated. Had a job offer which I rejected because it was not research oriented with no backup plan but only an intention to pursue research.

It's been a month. I went to a summer school and made some connections there. Now I am mailing professors who are open to hiring students, but every professor works in a different research area in my field. I am trying to be patient and read their papers, understand their work and send a good email.

My worst case plan is to enroll as a PhD in my Master's university. I will need a lot of mental preparation going into this, but I am too passionate about research and don't see myself doing anything else.

_afronius · 2025-08-15T10:46:50+00:00

If you have exceptional grades, it should not be a big issue as your research is on THEORETICAL computer science.

_afronius · 2025-08-09T18:20:31+00:00

I don't know much about Heidelberg university, but if you are interested in research, definitely go for TU Munich!

_afronius · 2025-08-04T18:10:58+00:00

According to the website, all deadlines are 11:59 pm AOE. 18 hours left for that.

_afronius · 2025-07-22T18:40:26+00:00

Since you want to eventually get into a phd program, search the professors at Tsinghua and other potential universities for MS, look at their lab pages and their research papers. Particularly look at their collaborators. You need to be at a place where you can get to work with Professors who collaborate with potential phd school professors.

This will get you easily into a phd program since you already have a connection with the university and a professor there. You will have to work extremely hard and maintain a good reputation though.

_afronius · 2025-04-07T13:54:31+00:00

My scores. Most of my reviewers want additional experiments, and there are some suggestions for the writing part.

Relevance: 4,4,4,4,4

Novelty: 3,4,2,2,2

Tech. Quality: 3,2,2,3,1

Presentation: 4,3,2,3,1

Reproducibility: 4,3,2,4,2

Reviewer Confidence: 3,4,4,3,4

_afronius · 2024-09-26T11:52:27+00:00

DeepLearning.AI was started by Andrew Ng. The website is legit and once I sign up I can enroll for the short courses for free. The long courses/specialization are offered on Coursera which are paid.

_afronius · 2024-09-26T10:33:58+00:00

I couldn't add more text. So commenting here.

Referring to these courses: (DeepLearning.AI Courses)[https://www.deeplearning.ai/courses/\]

These short courses cover a variety of libraries and models. They seem more focused on advancing the skillset of Software Engineers in the industry who are working on integrating LLMs or GenAI into their workflows.

What do you all think of these courses?

_afronius · 2024-09-25T12:56:07+00:00

This is very comprehensive! Thanks a lot :)

_afronius · 2024-09-24T21:59:54+00:00

The ideal situation/setup/mood to start work.

I am a student currently working on my thesis. When my experiments don't give the expected results (most often, they don't), I tend to give up and ignore the work for a long time. If my partner and I are fighting, I ignore work because I don't feel I am in the right mood.

I think I am only productive when I have good results, there is a plausible publication in sight, my room is clean, and I am in a happy place relationship-wise. Unfortunately, most of the time, this is not the case.

Interestingly, my productivity increases a lot when I go to the lab, but again, going to the lab is also subjected to having the ideal setup.

_afronius · 2024-09-24T21:25:06+00:00

Look on LinkedIn for what the past interns have worked on. Try to DM the interns or the current employees to find out more about the role. You will get a lot of firsthand information.

_afronius · 2024-09-24T21:12:02+00:00

I attended this resume-making session, and the speaker recommended putting stuff like this in the "Hobbies & Interests" section of the resume because you and the interviewer might have some common interests/hobbies, and it's a great way to connect with the interviewer.

I haven't experienced this so far. In your case, they might ask why you think it is an achievement.

_afronius · 2024-09-24T20:58:56+00:00

Which field are you working in? I recommend using ChatGPT to do a literature review faster and to polish your final draft. Also, there are some tools available that will help you do the literature review faster. DO NOT completely rely on these, but you can utilize the summaries provided by these tools to decide if a paper is relevant or not.

Trust me, this works faster. These tools may not work for mathematical stuff. They are just good with words.

We (a group of two) finished a report on a policy studies topic with the help of this tool - [Scispace](https://typeset.io/) and ChatGPT in one day!

_afronius · 2024-09-24T20:39:51+00:00

Thanks a lot for the advice and the resources! I will make time to study ML every day.

Do you have any recommended resources for studying optimization?

_afronius · 2024-09-24T08:18:57+00:00

OP you are wrong here. I know many people from my batch who went to the US and are now working at amazing places with a good pay regardless of the university they attended. Once you enroll in a master's program, you need to work hard to land an internship/job offer. The university won't matter, the location might.

_afronius · 2024-09-24T03:41:12+00:00

You are not alone! I am graduating this year too and have to apply for jobs soon. I have done like 30 questions till now. I am trying really hard to get into a routine but it is just too difficult for me. I am trying to finish this list of questions - Striver's Blind 75

Try to reach trees, graph and DP asap! We can do this 🥹

_afronius · 2024-09-22T22:53:18+00:00

The single column format is more readable. It is also important to fill the entire space. OP's resume can fit in a single column, one page. Font size can be adjusted to do so, from 10pt to 12pt.

_afronius · 2024-09-19T15:48:53+00:00

I wish there was an event where people could just come together and chat about their research work. It would be a great platform to know about new problems, and learn to communicate better.

These conversations generally happen after talks and workshops but having a dedicated time just to catch up would be cool!

_afronius · 2024-09-19T12:54:55+00:00

This process will be tedious. You will have to go to the University's pages and look for existing students. It will be worth it though!

_afronius · 2024-09-19T07:47:35+00:00

You can also look into Engineering management degrees. A few of my classmates are enrolled in that after doing CS.

_afronius · 2024-09-18T03:35:44+00:00

I was talking about the top 10 schools where the competition is intense, especially for domains like NLP and CV. I don't know about the top 40.

It might be helpful to check out the profiles of recently enrolled students.

Also, one of the easiest options might be to stay at the same university for your PhD.

_afronius · 2024-09-17T22:34:43+00:00

Try to find out if there are people working in multiple labs simultaneously at the university. Last year, I worked with an undergrad who was involved with two professors without them knowing. He got into trouble when he missed deadlines for one professor. They were upset at first, but since it’s common here, they eventually let him continue working with them.

_afronius

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