Connectionists: Call for Papers (by February 27) – 6th Multimodal Algorithmic Reasoning Workshop at CVPR 2026

[HONGLU ZHOU]

Dear colleagues,

We are inviting submissions to the 6th edition of our ** Multimodal
Algorithmic Reasoning Workshop ** at CVPR 2026. Find more details at
https://marworkshop.github.io/cvpr26/
Please help us to spread the word and submit your papers. We look forward
to your participation!


Yours sincerely,
Workshop organizers

_____________________________________________

Multimodal Algorithmic Reasoning Workshop (MAR-CVPR 2026)

June 3rd / 4th, 2026, Denver

Held in conjunction with CVPR 2026

https://marworkshop.github.io/cvpr26/


CALL FOR CONTRIBUTIONS

Large AI frameworks have been rapidly increasing their data modeling
capabilities in recent years, with compelling applications emerging
frequently, some of which may even appear to challenge human intelligence.
Yet, despite this impressive performance, there remain open questions about
whether these models possess the foundations of general intelligence, or
whether they succeed without human-like understanding. This motivates the
development of better tools for assessing such models, alongside continued
advances in model design.

This workshop focuses on multimodal algorithmic reasoning, where an agent
must assimilate information from multiple modalities for complex problem
solving. Real-world examples of such problems include: (i) chain-of-thought
reasoning across modalities, (ii) vision-and-language problem solving,
(iii) agentic reasoning and tool use, and (iv) reasoning under physical
constraints, among others. Over the past year, we have seen rapid advances
in AI that more effectively bridge modalities, inspiring both optimism
about superhuman capabilities and skepticism about the limits of current
approaches. This is an opportune moment to explore critical challenges,
including new architectures for visual and physical reasoning, data
generation via simulators, and the theoretical limits of reasoning in large
models.

Through talks by outstanding researchers and faculty, we aim to delve
deeply into this topic at the intersection of multimodality, algorithmic
foundations, and cognitive science, to better understand what has been
achieved in machine intelligence and what remains missing relative to human
cognition, as we seek the next rungs on the ladder toward advancing AI to
the next frontier.

___________________________________________________________________________

IMPORTANT DATES & DETAILS

Submission deadline: February 27 (Anywhere on Earth)

Final decision notification: March 20

Camera Ready: April 10

___________________________________________________________________________



TOPICS

We invite submissions of original and high-quality research papers in the
topics related to multimodal algorithmic reasoning. The topics for MAR-CVPR
2026 include, but are not limited to:

* Multimodal structured and multi-step reasoning across vision, language,
audio, and other modalities, including compositional and programmatic
inference.
* Multimodal foundation models and world models for reasoning, planning,
and decision-making, and their connections to general intelligence.
* Reasoning under physical, geometric, and causal constraints, including
embodied agents, simulators, and digital twins.
* Multi-agent reasoning and collaboration, including debate, coordination,
mixture-of-experts, and reward- or critique-based aggregation.
* Extreme generalization and concept learning, including few-shot,
zero-shot, and out-of-distribution multimodal reasoning.
* Scaling laws, efficiency, and test-time reasoning, including
inference-time optimization, self-refinement, and tool-augmented reasoning.
* Benchmarks, datasets, diagnostics, and evaluation, including synthetic
data, interpretability, and systematic analysis of shortcomings and failure
modes in multimodal AI models.
* Theoretical and cognitive perspectives on multimodal reasoning, including
limits of current models and insights from human cognition.

* Human–AI reasoning comparisons and foundations, including perspectives
from psychology, neuroscience, and child development; theoretical limits of
reasoning in large models; and position papers on how current multimodal AI
reasoning differs from human cognition.

___________________________________________________________________________

SUBMISSION INSTRUCTIONS

We are inviting submissions of both original and previously published
works.

* All submissions are handled via the workshop’s OpenReview website:
https://openreview.net/group?id=thecvf.com/CVPR/2026/Workshop/MAR.

* Submissions should be made in PDF format and must follow the CVPR 2026
submission style provided here:
https://github.com/cvpr-org/author-kit/archive/refs/tags/CVPR2026-v1(latex).zip
.

* We allow three types of submissions:

     1. Original and unpublished papers of up to 8 pages, which will be
published as part of the CVPR 2026 workshop proceedings and will be
released on the workshop website upon acceptance

     2. Original and unpublished papers of up to 4 pages, which will not be
included in the CVPR workshop proceedings and will be released only on the
workshop website upon acceptance; and

    3. Previously accepted or published papers of up to 8 pages, which will
be released only on the workshop website upon acceptance to our workshop.

* All the page limits above are excluding references, acknowledgements, and
other non-technical content (e.g., scope, limitations, impact statement).

* Authors may upload an optional Appendix, containing additional details,
proofs, images, etc. as part of the submission pdf (after the references)
or in a separate zip file (with a max of 50MB in size). The deadline for
submitting these supplementary materials is the same as that for the main
paper.

* All submissions should maintain author anonymity and should abide by the
CVPR 2026 conference guidelines for double-blind review.

* Accepted papers will be presented as either an oral, spotlight, or poster
presentation. At least one author of each accepted submission must present
the paper at the workshop in-person.

* Presentation of accepted papers at our workshop will follow the same
policy as that for accepted papers at the CVPR 2026 main conference.

* Accepted papers will be made publicly accessible on the workshop website
shortly after the camera-ready deadline.

* The submitting authors are expected to also be reviewers for the
workshop.

___________________________________________________________________________
WORKSHOP ORGANIZERS

Anoop Cherian <http://users.cecs.anu.edu.au/~cherian/>, Mitsubishi Electric
Research Laboratories

Suhas Lohit <https://www.merl.com/people/slohit>, Mitsubishi Electric
Research Laboratories

Kuan-Chuan Peng <https://www.merl.com/people/kpeng>, Mitsubishi Electric
Research Laboratories

Honglu Zhou <https://sites.google.com/view/hongluzhou/>, Salesforce AI
Research

Kevin A. Smith <http://www.mit.edu/~k2smith/>, Massachusetts Institute of
Technology

Joshua B. Tenenbaum <https://web.mit.edu/cocosci/josh.html>, Massachusetts
Institute of Technology

___________________________________________________________________________

CONTACT

Email: smart101 at googlegroups.com

Website: https://marworkshop.github.io/cvpr26/
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