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description= A research hub for Any-to-Any Multimodal Intelligence (A2A-MI), covering standalone papers, benchmarks, workshops, and upcoming surveys.;
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any to any multimodal intelligence a2a mi a2a mi series any to any multimodal intelligence overview models benchmarks workshops surveys a2a mi any to any multimodal intelligence any to any multimodal intelligence aims to build a unified intelligent system capable of understanding reasoning and generating across arbitrary combinations of modalities unlike traditional multimodal models which are typically limited to fixed input output modes such as text to image or image to text the any to any framework emphasizes flexible modeling capabilities in scenarios involving multiple inputs multiple outputs and interleaved modalities the core challenge lies in designing a unified architecture that supports multimodal collaborative modeling in learning how to align semantics and control information flow in complex interleaved structures and in evaluating generalization and scalability in real world open environments this direction therefore involves not only innovation in model architecture but also the systematic construction of data organization methods task design paradigms and evaluation frameworks this page serves as a central hub for our representative models benchmarks workshops and surveys overview 01 flagship models core model papers push toward unified any input any output architectures and training paradigms 02 benchmarks evaluation work turns the vision into measurable tasks that stress flexible modality composition 03 workshops workshops create a public venue for the field clarifying open problems and bringing together adjacent communities 04 survey papers survey work will consolidate technical progress taxonomy and unresolved challenges across this direction models any2any mllm icml 2024 oral next gpt any to any multimodal model next gpt advances a unified framework for multimodal understanding and generation across text image video and audio it supports interleaved multimodal prompting cross modal reasoning and controllable output generation inside one coherent model design unified architecture interleaved prompting cross modal generation project paper codes benchmarks benchmark cvpr 2026 unim unified any to any interleaved multimodal benchmark unim is designed as a unified benchmark for any to any interleaved multimodal intelligence with 31k high quality instances spanning 30 domains and 7 representative modalities text image audio video document code and 3d it targets intertwined reasoning and generation demands that go beyond conventional multimodal evaluation 31k instances 7 modalities interleaved evaluation project paper codes workshops workshop cvpr 2026 workshop a2a mi the first workshop for this series the any to any multimodal intelligence workshop centers on the next stage of multimodal intelligence systems that can understand align transform and generate across arbitrary modality sets it provides a focal point for discussing architecture training data evaluation and real world deployment challenges community building open problems field shaping workshop site surveys in preparation a2a mi survey a forthcoming synthesis of methods benchmarks workshop themes and unresolved questions across the a2a mi landscape survey paper coming soon systematic landscape review taxonomy methods and open challenges this module is reserved for the survey paper that will unify the thread from a higher level what counts as any to any multimodal intelligence how existing approaches differ which evaluation settings are still missing and where the most important opportunities lie taxonomy method landscape open problems link will be added when available community curated awesome any2any a living repository that organizes the broader any to any landscape including datasets paper collections workshops surveys tools and ongoing community updates datasets papers surveys tools community resource github repository awesome any2any curated resources for the a2a mi landscape this repository systematizes any to any generation and adjacent a2a mi research through a continuously maintained collection of resources news datasets paper lists and tools paper collections datasets and tools community updates github repo copyright 2026 any to any multimodal intelligence a2a mi all rights reserved contact hao fei haofei7419 gmail com shengqiong wu shengqiongwu gmail com
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