NeurIPS

Navigating publication options when top conference scores fall short

A rejection from NeurIPS stings, especially with scores that low.

4 min readMachine Learning

A rejection score of 5/2/2 from NeurIPS is a familiar kind of pain, and the question that follows is one every researcher eventually faces: what do you do with work that deserves an audience but not a main-conference slot? The original poster is weighing TMLR against *ACL Findings, and the real issue is not which venue has a lower bar. It is about what you are actually optimizing for when you choose where your work lives. If you are feeling constrained by traditional publication pipelines, it is time to explore a solution that empowers your data journey. The answer is not obvious, and that is precisely why this decision is worth unpacking.

The tension here is between two very different signals. TMLR offers a rapid, open, and often more collaborative review process, but it carries less name recognition outside a narrow circle. *ACL Findings, on the other hand, is a recognized stamp of quality in the NLP community, even if it is not the main conference. The poster is asking a genuinely useful question, and the responses they will get will likely split along generational lines. Senior researchers often default to the prestige of *ACL Findings, while junior researchers, especially those on the job market, may feel that a TMLR publication shows more confidence in the work itself. This mirrors the broader pressure we see in Neurosurgery Match Requirements Highlight Growing Pressure on Medical Students, where systemic expectations shape individual choices in ways that are not always rational.

What makes this decision harder is that the work itself is already done. The paper has been written, the experiments are run, and the scores are in. The choice of venue is a strategic move, not a scientific one. That is why we would push back on the framing of the question. Instead of asking, "Would you rather have TMLR or *ACL Findings on your publication list?" the better question is, "What are you trying to signal to your future self, your collaborators, and the people who will read this paper?" If the goal is to get the work into the hands of practitioners quickly, TMLR is the better fit. If the goal is to build a record that will survive academic review committees, *ACL Findings carries more weight. Neither is wrong, but they are not interchangeable.

This is also a moment to reflect on what your workflow reveals about your priorities. The same mindset that makes you wonder whether a 5/2/2 is worth resubmitting is the mindset that should make you question the entire apparatus of conference deadlines. Tools are changing how we think about distributed training and evaluation, as we see in Unlock LLM Training: A Practical Guide to Distributed Algorithms and Verify Your AI's Understanding: A Simple Check for Tax Season. The venue is becoming less important than the work itself. Our take is simple: do not outsource your judgment to a review score. Pick the venue that matches your timeline, your audience, and your risk tolerance. If you need a concrete takeaway, here it is: choose TMLR if you want speed and open feedback, choose *ACL Findings if you want a credential that is immediately legible to committees, and be honest about which one you need more. The paper will survive either way. The question is whether you are building a publication list or a body of work.

From Machine Learning

Expecting a rejection from NeurIPS given our scores of 5/2/2. Trying to decide between ARR vs. TMLR, but thinking NAACL findings are more likely than main conference. Would you rather have TMLR or *ACL findings on your publication list? Genuinely curious to hear what people have to say.

Read the original at Machine Learning