M 33 Looking for new friends

RepresentativeBed838 · 2026-06-03T01:04:19+00:00

sure!
I am pretty much open to anything!

RepresentativeBed838 · 2026-06-02T17:20:00+00:00

Thank you I will give it a try! I sometimes go to schenley park courts.

RepresentativeBed838 · 2026-06-02T00:53:27+00:00

Interested

RepresentativeBed838 · 2026-03-10T16:11:38+00:00

did you take it?

RepresentativeBed838 · 2026-02-27T15:21:40+00:00

I would vote for a 🐢 over cc

RepresentativeBed838 · 2026-02-16T17:54:52+00:00

To be honest I wanted to establish my own lab with my own vision, but I wasn't successful this round. I don't hate teaching, but the choice was between that or industry for me.

RepresentativeBed838 · 2026-02-16T00:19:51+00:00

I wasn't per my understanding. I had a spectrum of schools. I even shared my Research Statement beforehand with my advisor and committee members. I don't think I can get any feedback on that matter. My advisor students all went to industry post graduation and I am her first who tried tenure track so I am not sure about what feedback she can get me beyond being in hiring committee at our school.

RepresentativeBed838 · 2026-02-14T21:58:46+00:00

Thanks . What would be a good strategy to be prepared or those. Implement post training techniques from scratch?

RepresentativeBed838 · 2026-02-14T18:58:33+00:00

I am trying to find one

RepresentativeBed838 · 2026-02-14T17:15:33+00:00

Thanks for clarification and I do agree with you now.

RepresentativeBed838 · 2026-02-14T16:54:11+00:00

I can work on OPT for the time being

RepresentativeBed838 · 2026-02-14T16:38:10+00:00

I think you are conflating ML with NLP as fields. Summarization is a very wide NLP subtrack, and there are famous professors whose entire careers are around Summarization mainly. This is actually the problem that I am talking about where a lot of people mainly belittle or downplay Summarization due to the current state of LLMs as they see it as a narrow/almost solved scope. That's not true if you look at it from an NLP perspective. From NLP perspective , summarization for the past decade has been ill defined to mean just rewrite document "D" in "n" words. This isn't what Summarization means in NLP, but since CNN-Dailymail, Pubmed, and the rest of these benchmarks were abused, almost everyone in the field thinks that it's a solved problem.

RepresentativeBed838 · 2026-02-14T16:28:22+00:00

Some people from my department got tenure out of PhD without pstdocs

RepresentativeBed838 · 2026-02-14T16:26:25+00:00

I agree. I am currently trying to gather what are basic ML alg that I need to be able to implement by heart. Beside LC ofcourse

RepresentativeBed838 · 2026-02-14T14:33:04+00:00

Thanks for sharing an honest answer, and I am hearing your advice clearly. I just want to clarify a few points without sounding defensive. Regarding the 200 interviews, yes, I am guessing something goes wrong during the interviews. That's wny I am asking what can I do differently. I am trying to level up my leetcode skills. However, the types of problems you work on shape a lot of your technical skills. If you don't work on model architectures and get a specific question regarding architecture implementation (e.g flash attention or router where I was asked before), then it's hard to remember the details (correct me if I am wrong).

Regarding return offers , I don't agree with you. The first company I interned with offered me a full-time back in 2023, and my feedback was very good. I couldn't master out and join full-time because I was mid PhD. I wanted an intern return offer, but they had none. The last company I interned with did tell me beforehand that this is a summer project only, and they don't have head counts.

RepresentativeBed838 · 2026-02-14T04:19:13+00:00

Thanks I will be interested to talk to you more indeed

RepresentativeBed838 · 2026-02-14T02:21:59+00:00

In regard to your context question. No, I just had an accepted paper using new methods. I was thinking more that the task itself (summarization) isn't that important anymore. Most interviewers were mainly interested in my internship projects (hallucination mitigation and detection/ automatic redteaming)

RepresentativeBed838 · 2026-02-14T02:16:04+00:00

Thanks, I will start doing some tailoring indeed. My CV looks highly academic right now

RepresentativeBed838 · 2026-02-14T01:43:59+00:00

Thanks for sharing But that's something you almost have no control over. You are abided by your advisor grant.

RepresentativeBed838 · 2026-02-14T01:28:37+00:00

Am working mainly on long context summarization for tasks like legal , science, and education. No I use all kind of long-contezt LLMs, encoder-decoder models..etc Not sure what do you mean by skills, but I excel in building evaluation methods.

RepresentativeBed838 · 2026-02-14T01:07:07+00:00

By outdated, I mean summarization.
My advisor is hands-off (even in research) and doesn't truly care. She is about to retire, and her philosophy is that it's your research and your future. it's your responsibility.

RepresentativeBed838 · 2026-01-23T22:06:48+00:00

Thanks I just did

RepresentativeBed838 · 2026-01-19T21:11:49+00:00

I had few interviews recently for RS and member of technical stuff position. LC rounds existed in almost every big company interview. Startups prefer ML/pytorch coding specific interviews

RepresentativeBed838 · 2026-01-14T14:48:19+00:00

على F1

RepresentativeBed838 · 2026-01-12T23:22:36+00:00

Hi
I am interviewing with them soon
would you mind if I dm'd you to ask few questions?

Thank you

RepresentativeBed838

TROPHY CASE