Withdraw from ACL ARR and resubmit to a workshop? [D]

The query from /u/H4RZ3RK4S3 highlights a common, and increasingly relevant, challenge for early-career researchers in NLP: navigating the complexities of peer review and publication, particularly within the Association for Computational Linguistics (ACL) Author Response and Review (ARR) system. The low scores received on their EMNLP paper, specifically the reviewers’ apparent lack of grasp on the paper’s “so what,” are discouraging, and the decision to withdraw and potentially resubmit to a workshop like BlackboxNLP demonstrates a thoughtful, proactive approach. It’s a situation many PhD students, and even more established researchers, find themselves in. The ARR system, while intended to foster constructive feedback, can sometimes feel opaque, and the subjectivity inherent in peer review means a technically sound paper can still be rejected if the reviewers don’t immediately appreciate its contribution. This resonates with concerns raised in a recent discussion about Obtaining Irregular Learning Curves with Hyberband Tuned ANN model for Price Prediction, which emphasized the challenges of conveying complex methodological details effectively. Furthermore, the question of where to best publish a benchmark, as explored in Where to publish a construction BIM Benchmark?, speaks to the broader struggle of finding the right venue for impactful research, even when the underlying work is solid.

The student’s intuition to withdraw and refocus is sound. Holding onto a paper with low ARR scores, hoping for a miraculous turnaround, is often a waste of time and energy. The rebuttal process, while important, is frequently a one-way conversation. Reviewers are not always incentivized to deeply engage with rebuttals, and their initial impressions can be difficult to shift. A workshop like BlackboxNLP, with a more targeted audience interested in interpretability, offers a better chance of connecting with researchers who will appreciate the nuances of the work. The key, as the student recognizes, is to refine the presentation—to make the “so what” undeniably clear. This might involve restructuring the paper, highlighting the implications more prominently, or even tailoring the narrative to better resonate with the workshop’s specific focus. It's a reminder that the technical merit of a paper is only half the battle; effective communication is equally crucial. The example from Context and average best linear mappings shows that framing and context can significantly impact how a contribution is perceived, even if the core methodology is well-established.

This situation also underscores a larger trend in the NLP community: the proliferation of conferences and workshops, and the increasing pressure to publish. The ARR system, while designed to improve the quality of publications, can inadvertently add to the stress and anxiety surrounding the publication process. Researchers, particularly students, are often left to navigate these complexities with limited guidance, leading to frustration and feelings of inadequacy. While the ARR system aims to improve quality, it’s clear that the human element—reviewer bias, differing perspectives, and the inherent difficulty of conveying complex ideas—remains a significant factor. The student’s willingness to adapt their strategy and seek alternative avenues for dissemination is a testament to the resilience and resourcefulness needed to thrive in this demanding environment.

Ultimately, the decision to withdraw and resubmit to a workshop is a pragmatic and potentially beneficial one. It demonstrates a focus on maximizing the impact of the research, rather than stubbornly pursuing a path that seems unlikely to succeed. It’s a valuable lesson for any researcher – sometimes, pivoting is the most strategic move. The question now becomes: how can we, as a community, better support early-career researchers in navigating the complexities of peer review and publication, ensuring that valuable work isn’t lost due to systemic challenges? Will conferences and workshops increasingly become the primary venues for disseminating impactful, specialized research, while broader conferences focus on more foundational work?