Navigating peer review delays in AI research with patience and proactive outreach

A final-year PhD student did everything right: submitted solo work to TMLR, received prompt, positive reviews, and made the minor revisions.

3 min readMachine Learning

A final-year PhD student submits a solo paper to TMLR, gets glowing reviews, makes the minor revisions, and then... silence. Two months of it. A reminder to the Action Editor, a nudge to the Editor-in-Chief, and still nothing. This isn't a story about a flawed review process or an overworked editor. It's a story about a system that promises efficiency and then withholds the one thing that matters most to an early-career researcher: closure.

Let's be direct about what this reveals. TMLR's value proposition has always been tied to its speed and rigor, a place where good work gets a fair hearing without the lottery of conference deadlines. But when the final decision stalls, the entire premise collapses. For a PhD student, this isn't an inconvenience. It's a career-defining bottleneck. Postdoc applications have deadlines. Reference letters need to reference *something*. A paper stuck in limbo isn't a paper under review; it's a missing line on a CV, a gap in a narrative that hiring committees interpret as "not yet productive." The student did everything right: submitted solo, chose a venue for its reputation, and delivered a clean revision. The system failed them, not the other way around.

Here's what we would tell that student, and anyone else in this position: stop waiting for permission to move on. You have already done the hard work. The reviewers were positive, you addressed their concerns, and one even confirmed it. The bottleneck is not your work; it's a governance problem. In practical terms, that means you should treat this as a stalled project, not a pending success. Send one more polite, specific email to the EiC, copying the Action Editor, with a clear deadline for a response. If that fails, consider withdrawing the paper and submitting elsewhere. Yes, it costs time, but time is the one resource you cannot get back. A paper that sits in review for six months after acceptance-ready revisions is not a paper you can afford to carry into the next application cycle.

The deeper issue here is about accountability. TMLR's model relies on volunteer editors, but that doesn't excuse radio silence. A simple auto-responder, a status update, a "we're still working on it" would have changed the entire experience. The fact that a student has to chase the Editor-in-Chief directly, and still gets nothing, signals a cultural problem. We would tell our readers to watch this space. The next time you hear about TMLR's "rigorous" reviews, remember this story. And if you're a senior researcher reading this, consider this your call to action: if you're an Action Editor, respond to your assigned papers. If you're a reviewer, don't ghost a revision you asked for. The future of a field is built on the trust that a decision will eventually come. Right now, for this student, that trust is gone. The concrete detail to watch is whether TMLR ever publishes a response to this kind of complaint. If they don't, that silence will tell you everything you need to know.

From Machine Learning

A final-year PhD student here. A few months back, I submitted a solo-authored paper to TMLR. The reviewers were on time and extremely positive, with some minor revisions. After submitting the revised version, there was absolute silence from the reviewers, with just one acknowledging that their concerns were addressed

Since then, it has been 2+ months. I have sent a reminder to the Action Editor as well as the Editor-in-Chief, but unfortunately the status remains the same.

Read the original at Machine Learning