Original and unpublished papers
Up to 8 pages, published as part of the CVPR 2026 workshop proceedings and released on the workshop website upon acceptance.
Computer Vision/CORE Unranked
MAR 2026
Multimodal Algorithmic Reasoning
MAR 2026 is a workshop held in conjunction with CVPR 2026 that brings together researchers in multimodal machine learning and cognitive science to advance the field of algorithmic reasoning in AI. The workshop focuses on multimodal algorithmic reasoning—where agents deduce algorithms using vision, language, and other modalities—to address gaps in current AI systems compared to human-like intelligence, with an emphasis on challenges in perception, abstraction, and generalization.
Key deadlines
Verified September 9, 2026Full paper
March 5, 2026
AoE
Conference timeline
Submission and decisions
Full paperKey deadline
March 5, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Original and unpublished papers
Up to 4 pages, not included in the CVPR workshop proceedings, released only on the workshop website upon acceptance.
Previously accepted or published papers
Up to 8 pages, released only on the workshop website upon acceptance to the workshop.
Research areas in scope
01
Multimodal Algorithmic Reasoning
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.
Policies worth checking twice
- Submissions must follow the CVPR 2026 submission style.
- All submissions must maintain author anonymity for double-blind review.
- Authors may upload an optional appendix (max 50MB) as part of the submission PDF or in a separate zip file.
- At least one author of each accepted submission must present the paper in-person.
- Accepted papers will be made publicly accessible on the workshop website after the camera-ready deadline.
- Submitting authors are expected to also serve as reviewers for the workshop.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026