NeurIPS 2026 Call for Position Papers
NeurIPS 2026 Call for Position Papers
We invite the submission of position papers to be published at the NeurIPS 2026 conference. Position papers argue for a viewpoint or perspective about what
should
be done, in contrast to other NeurIPS track papers, which in general report on advances that have already been accomplished.
As with other NeurIPS tracks, submissions to the position paper track will be evaluated for
novelty
,
rigour
and
significance
. However, the position paper track admits a
wider range of methods
, and adopts
different criteria for establishing significance
. As a result, the position
paper track is intentionally
distinctive from and non-overlapping with
other NeurIPS tracks.
Methods
:
While position papers must be relevant to and informed by the science and practice of machine learning, the stances in these papers can be supported through many different forms of evidence, including arguments from reasoning, experimental evidence, or analysis or synthesis of literature. We encourage a wide use of methods to support arguments, including methods from other disciplines and interdisciplinary research without restriction
.
Significance
: Submissions are judged on whether they make a novel and rigorous contribution to a debate that
is
or should be
of contemporary interest to the NeurIPS community. We welcome both topics that will appeal to the entire NeurIPS community, as well as to more specialized sub-communities (e.g. more technical topics, or topics concerning specific applications). Submissions should create opportunities for discussion, exposing novel or deeper perspectives that would otherwise not find a place in the NeurIPS proceedings.
Distinctiveness
: Because of this, submissions to the position paper track must not be better suited for one of the other conference tracks; authors will be asked at the time of submission to explain why their paper is suited for this track and not another; and papers that clearly meet the criteria for submission to a different NeurIPS track may be rejected on that basis.
Position papers will be held to standard NeurIPS expectations for scholarship, including the use of evidence and reasoning to support claims, inclusion of relevant background and context, and attribution of work through appropriate citations. Accepted position papers will be presented at the conference and included in the conference proceedings.
Criteria for Position Papers
Position papers suitable for publication at NeurIPS are expected to:
Take a clear position.
It should be possible to summarise in less than three sentences the central claim that the paper is arguing for.
Convince the target community that the topic of the position paper is of contemporary interest for discussion.
The position paper track is intentionally inclusive of many disciplines and approaches, including interdisciplinary research. This means that authors cannot assume that their audience will be familiar with their subject matter. Authors should make clear why their position is or should be of interest to some subset of the NeurIPS community, and should provide relevant background where necessary.
Be well-argued.
The position paper track permits a wide range of methods, evidence, and argumentation, but will apply consistently high methodological standards. In particular, claims made about ML systems must be grounded in appropriate technical research; the urgency or importance of one’s position does not justify a lack of rigorous argument in its favour.
Invite discussion and refutation.
The position paper track aims at pluralism. Authors are encouraged (but not required) to actively consider how those who do not share their position might respond in an “alternative views” or “objections and counterarguments” section.
For the avoidance of doubt, the following kinds of submissions are not suited to the position paper track:
Papers that clearly meet the criteria for submission to another NeurIPS track.
Literature reviews.
Please note that there will be no possibility to switch tracks and that papers cannot be submitted to multiple tracks simultaneously. Irrelevant or duplicate papers will be considered a double-submission, and risk desk rejection from all tracks. It is the authors’ responsibility to carefully read the relevant CfPs and identify the most appropriate track.
Formatting Instructions and Policies
Submissions to the Position Paper Track should follow formatting requirements consistent with the
main conference Call For Papers
, including a 9-page limit and preparation for double-blind review.
The following additional requirements apply to position papers.
Note the new requirement to include a written rationale for why your submission is suited to the position paper track this year:
Title
: The title should state the position.
Examples of appropriate titles:
“Quantum Atelic Learning Methods Should Employ Psychic Insights"
“Stop Research on Psychic Properties of Machine Learning"
Non-example titles that do not state a position clearly:
“Psychic Quantum Atelic Learning"
“A Perspective on Psychic Quantum Atelic Learning"
Abstract
: The abstract must briefly state the position (e.g., “This position paper argues that
Executive Summary
The NeurIPS 2026 Call for Position Papers invites submissions of viewpoint papers arguing for a particular stance or perspective on machine learning. Submissions are evaluated for novelty, rigor, and significance, with a focus on creating opportunities for discussion and debate within the NeurIPS community. The position paper track is intentionally distinct from other NeurIPS tracks, allowing for a wide range of methods and interdisciplinary research. Accepted papers will be presented at the conference and included in the proceedings.
Key Points
- ▸ Position papers argue for a viewpoint or perspective on machine learning, rather than reporting on accomplished advances.
- ▸ Submissions are evaluated for novelty, rigor, and significance, with a focus on creating opportunities for discussion and debate.
- ▸ The position paper track is intentionally distinct from other NeurIPS tracks, allowing for a wide range of methods and interdisciplinary research.
Merits
Strength in Diversity
The position paper track provides a platform for diverse perspectives and approaches, including interdisciplinary research and methods from other disciplines. This encourages innovative thinking and broadens the scope of machine learning research.
Encourages Discussion and Debate
The position paper track aims to create opportunities for discussion and debate within the NeurIPS community, promoting a deeper understanding of machine learning and its applications.
Intentionally Distinctive
The position paper track is intentionally distinct from other NeurIPS tracks, allowing for a unique focus on arguments and perspectives rather than reporting on accomplished advances.
Demerits
Potential for Subjectivity
Evaluating submissions for novelty, rigor, and significance may be subjective, potentially leading to inconsistent evaluation and rejection of papers.
Limited Scope
The position paper track may not be suitable for papers that report on accomplished advances or provide a comprehensive overview of a specific topic.
Expert Commentary
The NeurIPS 2026 Call for Position Papers is an innovative initiative that encourages diverse perspectives and approaches in machine learning research. By evaluating submissions for novelty, rigor, and significance, the position paper track aims to create opportunities for discussion and debate within the NeurIPS community. While there may be potential for subjectivity in evaluation, the track's focus on arguments and perspectives rather than reporting on accomplished advances makes it a unique and valuable addition to the NeurIPS conference. As machine learning continues to play a critical role in various applications and industries, the position paper track provides a platform for researchers to think creatively and argue for novel perspectives, leading to the development of new methods and applications.
Recommendations
- ✓ Authors should ensure that their position papers are well-structured, clear, and concise, with a strong argument and evidence to support their claims.
- ✓ Reviewers should be aware of potential biases and subjective evaluations, and strive to provide fair and consistent feedback on submissions.
Sources
Original: NeurIPS