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home datamfm workshop at cvpr2026 home challenge calls papers dates speakers schedule organizers sponsors workshop on emerging directions in data for multimodal foundation models workshop at cvpr 2026 june 3 2026 1 00 pm 6 00 pm room 111 overview the emerging directions in data for multimodal foundation models datamfm workshop focuses on advancing the data foundations of multimodal ai systems while text data has benefited from decades of large scale curation and standardization multimodal data spanning images documents video audio and cross modal pairings continues to face fundamental challenges in quality diversity coverage and reproducibility this workshop examines emerging research directions that move beyond brute force web scale data collection including the transition from web scale to world scale data agentic and self generated data pipelines and principled data selection and mixture design core topics include data contamination and provenance benchmark construction and renewal multimodal alignment across heterogeneous modalities and evaluation practices that remain robust as models and datasets evolve by bringing together researchers and practitioners from academia industry and open data initiatives datamfm aims to to define the foundation of next generation multimodal data ecosystems invited speakers ranjay krishna university of washington ziwei liu nanyang technological university yilun du harvard university aishwarya agrawal university of montreal mila tentative schedule june 3 2026 1 00 pm 6 00 pm room 111 time event 13 00 13 10 opening 13 10 13 40 invited talk 1 ranjay krishna 13 40 13 55 oral 1 uncertainty guided data curation for 3d object detection 13 55 14 10 oral 2 chartnet a million scale high quality multimodal dataset for robust chart understanding 14 10 14 40 invited talk 2 ziwei liu 14 40 14 55 oral 3 vero an open reinforcement learning recipe for visual reasoning 14 55 15 45 poster session board numbers 131 150 coffee break 15 45 16 15 invited talk 3 aishwarya agrawal 16 15 16 30 oral 4 see hear and understand benchmarking audiovisual human speech understanding in multimodal large language models 16 30 16 45 oral 5 svhalluc benchmarking speech vision hallucination in audio visual large language models 16 45 17 15 invited talk 4 yilun du 17 15 17 30 oral 6 thinking in dynamics how multimodal large language models perceive track and reason dynamics in physical 4d world 17 30 17 40 competition announcement 17 40 17 50 challenge task 1 winner talk 17 50 18 00 challenge task 2 winner talk 18 00 18 05 concluding remarks 18 05 adjourn datamfm challenge the datamfm challenge focuses on multimodal document understanding at the intersection of vision language and structured reasoning it currently covers two complementary components document parsing and chart understanding based on newly prepared challenge datasets built from omnidocbench and chartnet scope document parsing chart understanding timeline apr 27 release may 11 submission opening may 29 submission deadline jun 03 workshop challenge portal datamfm challenge portal call for papers we invite submissions on any topics related to data for multimodal foundation models datamfm including but not limited to data collection generation and curation for multimodal foundation models data quality improvement filtering and pruning for scalable and efficient multimodal training data recipes and mixture design for balancing scale quality diversity and coverage synthetic real hybrid datasets and multimodal data augmentation for robust model development benchmark renewal creation and evaluation design for trustworthy multimodal applications detection and mitigation of dataset contamination in training and evaluation cross modal alignment and grounding across text image audio and video modalities fairness bias reduction and inclusive representation in multimodal datasets data provenance documentation licensing and governance for trustworthy dataset lifecycles metrics and frameworks for assessing multimodal data quality diversity and contamination bridging modality gaps between text rich and vision centric domains agentic synthetic data generation and self improving data pipelines driven by multimodal or vla models building sustainable transparent and community driven multimodal data ecosystems for next generation foundation models submission guidelines the workshop accepts submissions in three tracks 1 full length papers archival proceedings track up to 8 pages excluding references double blind review accepted papers will appear in the cvpr 2026 workshop proceedings 2 short papers extended abstracts non archival up to 4 pages excluding references double blind review intended for work in progress datasets benchmarks and early stage ideas 3 cvpr 2026 accepted papers non archival non anonymous papers accepted to the main cvpr 2026 conference presented at the workshop but not included in the workshop proceedings submission site proceedings track https openreview net group id thecvf com cvpr 2026 workshop datamfm_proceedings_track non archival track https openreview net group id thecvf com cvpr 2026 workshop datamfm_non archival all submissions should use the cvpr 2026 paper template accepted papers proceedings track datamfm 1 vla ad agentic vision language foundation models for context aware anomaly detection datamfm 3 scalable parallel prompting for complex av video captioning datamfm 5 adversarial feedback from segmentation network to siamese diffusion for improving tumor segmentation datamfm 8 adgaze 3500 evaluating large multimodal models ability to predict human attention to ads datamfm 9 timecausality evaluating the causal ability in time dimension for vision language models datamfm 10 uncertainty guided data curation for 3d object detection datamfm 11 longitudinal multimodal modeling for alzheimer s disease with pre trained brain latent diffusion and mixture of experts fusion datamfm 12 learning multimodal priors with shared vector quantization for incomplete multimodal diagnosis datamfm 13 vlm reality check a causal counterfactual benchmark for diagnosing cognitive biases in vision language models datamfm 19 cinéaste a fine grained contextual movie question answering benchmark with automated data curation non archival track datamfm 2 vero an open reinforcement learning recipe for visual reasoning datamfm 3 codev code with images for faithful visual reasoning via tool aware policy optimization datamfm 4 m3grounder mask based multi span and multi granular grounding for document qa datamfm 5 entropy guided prototype selection for data efficient k nn cifar 10 deep features and mnist pixels datamfm 6 see hear and understand benchmarking audiovisual human speech understanding in multimodal large language models datamfm 7 chasing ghosts a simulation to real olfactory navigation stack with optional vision augmentation datamfm 8 thinking in dynamics how multimodal large language models perceive track and reason dynamics in physical 4d world datamfm 9 aligning what vision language models see and perceive with adaptive information flow datamfm 10 evaluating multimodal embeddings for board game knowledge representation datamfm 11 mv fashion towards enabling virtual try on and size estimation with multi view paired data datamfm 12 failure modes for deep learning based online mapping how to measure and address them datamfm 13 avrobustbench benchmarking the robustness of audio visual recognition models at test time datamfm 14 handx scaling bimanual motion and interaction generation datamfm 15 figex2 visual conditioned panel detection and captioning for scientific compound figures datamfm 16 a dataset for dynamic human preferences for vision language models datamfm 17 svhalluc benchmarking speech vision hallucination in audio visual large language models datamfm 18 video2reaction training foundation video models to predict audience reaction datamfm 20 maven agentic multi scale video annotation pipeline for structured synthetic data generation datamfm 21 timeblind a spatio temporal compositionality benchmark for video llms datamfm 22 octomed data recipes for state of the art multimodal medical reasoning datamfm 23 crit graph based automatic data synthesis to enhance cross modal multi hop reasoning datamfm 24 chartnet a million scale high quality multimodal dataset for robust chart understanding datamfm 25 multimodal distribution matching for vision language dataset distillation datamfm 26 rdface a benchmark dataset for rare disease facial image analysis under extreme data scarcity and phenotype aware synthetic generation datamfm 27 rethinking dataset distillation hard truths about soft labels datamfm 28 sage scalable agentic grounded evaluation for crop disease diagnosis datamfm 29 vqa disagree multi model disagreement as an annotation free difficulty signal for vqa benchmarks datamfm 30 vista dense multi label classroom coding with vision language models datamfm 31 clay conditional visual similarity modulation in vision language embedding space poster printing please follow the instructions to print your posters https cvpr thecvf com conferences 2026 posterprinting important dates event date paper submission deadline march 10 2026 archival april 13 2026 non archival notification of acceptance march 25 2026 archival april 21 2026 non archival camera ready submission deadline april 7 2026 archival workshop date june 3 2026 1 00 pm 6 00 pm room 111 challenge organizers xiaolong luo harvard university simeng han stanford university longtian ye 2077ai foundation minglai yang 2077ai foundation henry zhang university of california berkeley liam liu 2077ai foundation organizers pengyuan li mit ibm watson ai lab zexue he stanford university zihan wang abaka ai xuan ruby zhang 2077ai foundation wenhu chen university of waterloo manling li northwestern university rogerio feris mit ibm watson ai lab sponsors for any further questions please contact 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