NeurIPS 2026 Concept & Feasibility Track [D]

The recent discussion on Reddit regarding the NeurIPS 2026 Concept & Feasibility (C&F) track highlights a concerning trend within the AI research community: a disconnect between track design and reviewer expectations. The original poster’s experience, echoed by others, reveals a frustrating scenario where promising ideas, explicitly acknowledged as potentially unvalidated within a single paper—a core tenet of the C&F track—are nonetheless penalized for scope. This situation is further complicated by a lack of reviewer engagement, leaving authors in the dark about the rationale behind scoring decisions. The broader conversation surrounding NeurIPS review processes, as evidenced in articles like Completely dead NeurIPS review period from both ends? and NeurIPS 2026 Main Track — Theory papers score tracking post Rebuttal, suggests that this isn't an isolated incident, but rather part of a larger issue with reviewer responsiveness and adherence to track-specific guidelines. The absence of data on Papercopilot, prompting a NeurIPS 2026 post-rebuttal score distribution poll further underscores the lack of transparency within the review system.

The C&F track was introduced with the explicit goal of fostering exploration and allowing researchers to present novel concepts, even if those concepts aren't fully realized or experimentally validated. This is a vital space for pushing the boundaries of AI research, encouraging risk-taking and rewarding innovative thinking that might otherwise be rejected by more traditional tracks. However, the current situation suggests that reviewers may be applying standards more appropriate for established research—demanding robust experimentation and demonstrable results—to a track specifically designed to accommodate preliminary explorations. The frustration expressed by the original poster underscores the importance of clear communication between conference organizers and reviewers, ensuring that all parties understand the purpose and expectations of each track. A track’s success hinges not only on the quality of submissions but also on the consistency and fairness of the review process.

The lack of reviewer engagement is particularly troubling. While the volume of submissions to top-tier conferences like NeurIPS is undoubtedly immense, the expectation is that reviewers, despite the workload, will provide constructive feedback, even if the paper ultimately receives a low score. Silence leaves authors feeling unheard and undermines the collaborative nature of scientific inquiry. This silence can be attributed to various factors, including reviewer burnout, a lack of expertise in the specific area of the submission, or simply a reluctance to engage in potentially contentious discussions. Regardless of the cause, the consequences are clear: valuable insights are lost, and researchers are discouraged from submitting ambitious, exploratory work. The C&F track, in particular, requires a nuanced understanding of the trade-offs between originality and feasibility, and reviewers must be equipped to evaluate submissions accordingly.

Ultimately, the NeurIPS 2026 C&F track experience raises a crucial question: how can we create a more supportive and transparent environment for early-stage AI research? Addressing this requires a multi-faceted approach, including clearer track guidelines, more robust reviewer training, and mechanisms for ensuring reviewer accountability. The future of AI innovation depends on fostering a culture of intellectual curiosity and rewarding exploration, even when the path forward is uncertain. It's imperative that conference organizers and the research community as a whole prioritize these values to ensure that groundbreaking ideas aren't stifled by rigid evaluation criteria and unresponsive review processes.