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In this workshop, we plan to gather researchers working in neural algorithmic learning, multimodal reasoning, and cognitive models of intelligence to showcase their cutting-edge research, discuss the latest challenges, as well as bring to the forefront problems in perception and language modeling that are often overlooked but are pivotal in achieving true artificial general intelligence. An emphasis is on the emerging topic of multimodal algorithmic reasoning, where a reasoning agent is required to automatically deduce new algorithms/procedures for solving real-world tasks, e.g., algorithms that use multimodal foundational models for analysis, synthesis, and planning, new approaches towards solving challenging vision-and-language mathematical (Olympiad type) reasoning problems, deriving winning strategies in multimodal games, procedures for using tools in robotic manipulation, etc. We hope to dive deep into this exciting topic at the intersection of theory, multimodal machine learning architectures, 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 – through talks from outstanding researchers and faculty that could inspire the audience to search for the missing rungs on the ladder to true intelligence.
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IMPORTANT DATES & DETAILS
Submission deadline: Friday, Aug 30 AoE
(Optional) Rebuttal starts: Sept 26
Rebuttal due: Sept 27 AoE
Final decision notification: Oct 9
Camera-ready: Nov 1
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TOPICS
We invite submissions of high-quality research papers in the topics related to multimodal algorithmic reasoning. The topics for MAR-NeurIPS 2024 include, but are not limited to:
* Neural algorithmic reasoning
* Multimodal large language models
* Large language models and Cognition
* Large language models and algorithmic reasoning
* Shortcomings in AI models
* Large language models, neuroscience, and vision
* Multimodal machine cognition and learning
* Foundation models of intelligence, including vision, language, and other modalities
* Artificial general intelligence / general-purpose problem solving architectures
* Neural architectures for solving vision & language or language-based IQ puzzles
* Embodiment and AI
* Functional and algorithmic / procedural learning in vision
* Abstract multimodal reasoning, e.g., using sketches, diagrams, etc.
* Perceptual reasoning and decision making
* New vision-and-language abstract reasoning tasks and datasets
* Vision-and-language applications
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SUBMISSION INSTRUCTIONS
We are inviting submissions of original and previously unpublished works, shorter versions of published papers at other venues, or shorter versions of papers submitted to the NeurIPS 2024 main conference.
* All submissions are handled via the workshop’s CMT website: https://cmt3.research.microsoft.com/MARNIPS2024.
* Submissions should be made in PDF format and must follow the MAR 2024@NeurIPS submission style provided here: https://marworkshop.github.io/neurips24/mar24_neurips_latex_template.zip.
* Original and previously unpublished paper submissions should not exceed 9 pages in length (excluding references).
* Resubmission of previously published papers or papers submitted to the main conference must be limited to a maximum of 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.
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WORKSHOP ORGANIZERS
Anoop Cherian, Mitsubishi Electric Research Laboratories
Kuan-Chuan Peng, Mitsubishi Electric Research Laboratories
Suhas Lohit, Mitsubishi Electric Research Laboratories
Honglu Zhou, Salesforce Research
Kevin A. Smith, Massachusetts Institute of Technology
Petar Veličković, Google DeepMind
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CONTACT
Email: smart101@googlegroups.com
Website: https://marworkshop.github.io/neurips24/