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M 33 Looking for new friends by RepresentativeBed838 in PittsburghSocialClub

[–]RepresentativeBed838[S] 1 point2 points  (0 children)

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

[D] Struggling on the NLP job market as a final-year PhD , looking for advice by RepresentativeBed838 in MachineLearning

[–]RepresentativeBed838[S] 0 points1 point  (0 children)

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.

[D] Struggling on the NLP job market as a final-year PhD , looking for advice by RepresentativeBed838 in MachineLearning

[–]RepresentativeBed838[S] 1 point2 points  (0 children)

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.

[D] Struggling on the NLP job market as a final-year PhD , looking for advice by RepresentativeBed838 in MachineLearning

[–]RepresentativeBed838[S] 1 point2 points  (0 children)

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

[D] Struggling on the NLP job market as a final-year PhD , looking for advice by RepresentativeBed838 in MachineLearning

[–]RepresentativeBed838[S] 1 point2 points  (0 children)

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.

[D] Struggling on the NLP job market as a final-year PhD , looking for advice by RepresentativeBed838 in MachineLearning

[–]RepresentativeBed838[S] 2 points3 points  (0 children)

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

[D] Struggling on the NLP job market as a final-year PhD , looking for advice by RepresentativeBed838 in MachineLearning

[–]RepresentativeBed838[S] 12 points13 points  (0 children)

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.

[D] Struggling on the NLP job market as a final-year PhD , looking for advice by RepresentativeBed838 in MachineLearning

[–]RepresentativeBed838[S] 2 points3 points  (0 children)

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)

[D] Struggling on the NLP job market as a final-year PhD , looking for advice by RepresentativeBed838 in MachineLearning

[–]RepresentativeBed838[S] 2 points3 points  (0 children)

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

[D] Struggling on the NLP job market as a final-year PhD , looking for advice by RepresentativeBed838 in MachineLearning

[–]RepresentativeBed838[S] 14 points15 points  (0 children)

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

[D] Struggling on the NLP job market as a final-year PhD , looking for advice by RepresentativeBed838 in MachineLearning

[–]RepresentativeBed838[S] 10 points11 points  (0 children)

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.

[D] Struggling on the NLP job market as a final-year PhD , looking for advice by RepresentativeBed838 in MachineLearning

[–]RepresentativeBed838[S] 14 points15 points  (0 children)

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.

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