Connectionists: Call for Papers (by August 31) – 5th Multimodal Algorithmic Reasoning Workshop at NeurIPS 2025

Fri Aug 1 19:38:55 EDT 2025

Dear colleagues,

We are inviting submissions to the 5th edition of our ** Multimodal
Algorithmic Reasoning Workshop ** at NeurIPS 2025. Find more details at
https://marworkshop.github.io/neurips25/
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-NeurIPS 2025)

December 6 / 7th, 2025, San Diego

Held in conjunction with NeurIPS 2025

https://marworkshop.github.io/neurips25/

CALL FOR CONTRIBUTIONS

Large AI frameworks have been increasing in their data modeling abilities
at an ever more vigor in recent times, with compelling applications
emerging frequently, many of which may even appear to challenge human
intelligence. Yet despite such impressive performance, there remain open
questions about whether these models include the foundations of general
intelligence, or whether they perform these tasks without human-like
understanding. This necessitates development of better tools for assessing
these models in tandem with developing the models themselves.

This workshop focuses on the topic of multimodal algorithmic reasoning,
where an agent needs to assimilate information from multiple modalities
towards deriving reasoning algorithms for complex problem solving. Some
real-world examples of such problems include: i) chain-of-thought reasoning
using multiple modalities, ii) solving Olympiad-type vision-and-language
problems, and iii) distributed agentic reasoning and tool use, among
others. Previous editions of this workshop emphasized the challenges in
building generalizable AI towards solving vision-and-language problems.
However, in the last year, we have seen rapid advances in AI capabilities
that better bridge across modalities, bringing 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 reasoning, data generation via
self-play, and the theoretical limits of reasoning in large models. Through
talks from outstanding researchers and faculty, we hope to dive deep into
this exciting topic at the intersection of theory, multimodal machine
learning and cognitive science to understand what we have achieved thus far
in machine intelligence and what we are lacking in relation to the human
way of thinking, towards finding the missing rungs on the ladder to truly
intelligent reasoning.

___________________________________________________________________________

IMPORTANT DATES & DETAILS

   - *Submission deadline*: August 31 AoE
   - Final decision notification: September 22
   - Camera Ready: November 3 (tentative)

___________________________________________________________________________

KEYNOTE SPEAKERS

   - Yu Cheng, Chinese University of Hong Kong
   - Noah Goodman, Stanford University
   - Kristen Grauman, University of Texas, Austin
   - Subbarao Kambhampati, Arizona State University
   - Max Tegmark, Massachusetts Institute of Technology

___________________________________________________________________________

TOPICS

We invite submissions of original and high-quality research papers in the
topics related to multimodal algorithmic reasoning. The topics for
MAR-NeurIPS 2025 include, but are not limited to:

* Multimodal algorithmic and mathematical reasoning

* Representations of algorithms for neural processing

* Comparisons between AI and human problem solving, including: i)
perspectives from psychology and neuroscience, ii) children’s cognitive
development, and iii) limits of reasoning in large models.
* Extreme generalization to new tasks and few-shot concept induction

* Shortcomings in AI models

* Agentic AI, including multi-agent collaboration and distributed problem
solving
* Scaling laws and efficient algorithms for improving reasoning at
test-time

* Foundation models of intelligence, including vision, language, and other
modalities

* Physical reasoning and planning using language models

* Multimodal AI applications, including new tasks, datasets, benchmarks,
and models for multimodal reasoning

___________________________________________________________________________

SUBMISSION INSTRUCTIONS

We are inviting submissions of original and previously unpublished works.
* All submissions are handled via the workshop’s CMT website:
https://cmt3.research.microsoft.com/MARNIPS2025.
* Submissions should be made in PDF format and must follow the MAR
2025 at NeurIPS submission style provided here (except for the NeurIPS
checklist, which is optional):
https://marworkshop.github.io/neurips25/mar25_neurips_latex_template.zip.
* Submissions should not exceed *4 pages* in length (excluding references).
* Authors may upload an optional Appendix, containing additional details,
proofs, videos, images, etc. 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
NeurIPS 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 NeurIPS main conference.
* Accepted papers will be made publicly accessible on the workshop website
shortly after the camera-ready deadline, but will not have any archival
proceedings.
* The submitting authors are expected to also be reviewers for the
workshop, if needed.

___________________________________________________________________________
WORKSHOP ORGANIZERS

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

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

Suhas Lohit <https://www.merl.com/people/slohit>, 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 <http://web.mit.edu/cocosci/josh.html>, Massachusetts
Institute of Technology

___________________________________________________________________________

CONTACT

Email: smart101 at googlegroups.com  <smart101 at googlegroups.com>

Website: https://marworkshop.github.io/neurips25/
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