Connectionists: Call for Papers: Multimodal Algorithmic Reasoning Workshop at CVPR 2025

[HONGLU ZHOU]

Multimodal Algorithmic Reasoning Workshop (MAR 2025)

June 11 or 12th, 2025, Nashville, TN

Held in conjunction with CVPR 2025

https://marworkshop.github.io/cvpr25/


CALL FOR CONTRIBUTIONS

Deep learning–powered AI systems have rapidly advanced in their data
modeling capabilities, yielding compelling applications that often seem to
rival human intelligence. Despite these impressive achievements, questions
remain about whether these systems possess the foundational elements of
general intelligence, or whether they simply excel at task-specific
computations without human-like understanding. Addressing these questions
calls for new methods of both developing and assessing such models.

In this workshop, we aim to bring together researchers working in neural
algorithmic learning, multimodal reasoning, and cognitive models of
intelligence to showcase cutting-edge research, tackle current challenges,
and highlight critical yet underexplored problems in perception and
language modeling—issues at the core of achieving true artificial general
intelligence. A key focus is on the emerging field of multimodal
algorithmic reasoning, which explores neural representations of algorithms
to devise novel solutions for real-world tasks. These span a wide range of
areas, including multimodal learning, algorithms over foundational models
for solving problems related to analysis, synthesis, or planning,
mathematical problem-solving, procedural learning in robotic manipulation,
and more.

Our goal is to delve deeply into this exciting intersection of multimodal
algorithmic learning and cognitive science, reflecting on the current
progress in machine intelligence while examining the gaps that distinguish
it from human cognition. Through talks by leading researchers and faculty,
we aim to inspire participants to explore the "missing rungs" on the ladder
to true intelligence.

We invite you to submit high-quality papers to the workshop that propose
innovative approaches, theoretical insights, or practical applications
towards advancing this exciting field, as well as foster meaningful
discussions and collaborations.


___________________________________________________________________________

IMPORTANT DATES & DETAILS

Submission deadline: ***March 12, 2025*** (11:59 PM PDT)

Rebuttal: March 25-26, 2025

Paper decisions to authors: April 3, 2025

Camera-ready deadline: April 7, 2025

___________________________________________________________________________


TOPICS

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

* Multimodal machine reasoning

* Algorithmic reasoning in vision, including program synthesis, planning,
and procedural learning

* Neural architectures and approaches for mathematical reasoning

* Architectures for aligning/integrating multimodal foundation models,
including vision, language, audio, and 3D content.

* Architectures for solving abstract multimodal reasoning/language-based IQ
puzzles, e.g., using sketches, diagrams, audio-visual clips, etc.

* New tasks, datasets, benchmarks, and models for multimodal reasoning
including algorithmic reasoning, neuro-symbolic reasoning, abstract
reasoning, mathematical reasoning, etc.

* Extreme generalization to new tasks and few-shot concept induction

* Synthetic data and automatic verification for reasoning

* Multimodal agents including programmable agent, tool-use agent, etc., for
reasoning tasks

* Position papers on novel perspectives to understand AI and human problem
solving

* Studies comparing AI and human problem solving skills, including but not
limited to: i) Perspectives from psychology, neuroscience, and educational
science, ii) Children's cognitive development, and iii) Limitations of
large vision-and-language models

* Vision-and-language applications.

___________________________________________________________________________

SUBMISSION INSTRUCTIONS FOR PAPER TRACK

We have two tracks for paper submissions:

      1. Papers with IEEE/CVF workshop proceedings (≤ 8 pages)

      2. Papers without workshop proceedings (≤ 8 pages)

For track 1, we are inviting only original, previously unpublished papers,
and dual submissions are not allowed. The page limits described above are
excluding the references. Papers accepted to track 2 will not be included
in the proceedings, however will be publicly shared on the workshop
website. The submissions to this track can be novel/ongoing work (limited
to 4 pages) or accepted/previously published papers (limited to 8 pages),
both excluding references. Please see the workshop website for more details.

* All submissions are handled via the workshop’s CMT website:
https://cmt3.research.microsoft.com/MAR2025/.

* Submissions should be made in PDF format and should follow the official
CVPR 2025 template and guidelines.

* All submissions should maintain author anonymity and should abide by the
CVPR 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.

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

* Papers accepted in track 1 will be part of the CVPR 2025 workshop
proceedings.

* Authors may optionally upload supplementary materials, the deadline for
which is the same as that of the main paper and should be submitted
separately.

___________________________________________________________________________
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

Tim K. Marks <https://www.merl.com/people/tmarks>, Mitsubishi Electric
Research Laboratories

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

___________________________________________________________________________

CONTACT

Email: smart101 at googlegroups.com

Website: https://marworkshop.github.io/cvpr25/
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