2 min readfrom Machine Learning

ACL 2026 first author with weak GPA. How should I approach PhD applications? [D]

Hi everyone,

I have a fairly weak undergraduate: a 3.3/5 GPA in Computer Engineering from an average Nigerian university. For my Master's, I studied Artificial Intelligence at an average European university, where I finished with an 8/10 GPA.

A condensed version of my Master's thesis was recently accepted at ACL 2026, with a meta-review score of 8/10 and a confidence score of 5/5. It's scheduled for presentation next month.

I want to pursue a PhD focused on expanding linguistic resources for low-resource African languages. I know my weak undergrad GPA and the relatively unknown reputation of my previous universities will make it hard to get into top NLP programs (CMU, Edinburgh, ETH, MBZUAI, etc.), though I'm hoping the ACL paper helps offset that somewhat.

At the same time, I don't want to end up at a less competitive university just for the sake of getting in somewhere, if it doesn't do meaningful work on low-resource NLP.

How should I think about structuring my application strategy here (reach vs. safety schools, how to frame my profile, what to emphasize)? I'd also genuinely appreciate honest feedback on my overall profile.

Thanks.

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