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arXivUnified multimodal models

Sensor-Language-Action Models

Sensor-Language-Action modeling unifies multimodal sensors, language, and actions via a semantic interface, and OpenSLA achieves superior hierarchical prediction and explanation with zero-shot generalization.

Yuekai Xu, Zitao Shuai, Yuzhe Yang

Published Oct 6, 2026 · ▲ 1 on Hugging Face · Code ★ 1

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arXivUnified multimodal models

Prism: Dynamic Sparse Attention for Native 2K Joint Video-Audio Generation Model Training

Prism introduces dynamic sparse attention via adaptive macro-zone block shapes guided by visual variance and cross-modal attention for 2K joint video-audio generation, yielding 2.5x training speedup and improved quality.

Shuyuan Tu, Qi Tian, Yinming Huang, Yue Wu and 7 more

Published Oct 4, 2026 · ▲ 4 on Hugging Face · Code ★ 30

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72%Highly rated
arXivUnified multimodal models

Kandinsky 6.0 Video: Foundation Models for Synchronized Video and Audio Generation

Kandinsky 6.0 Video introduces diffusion models that generate synchronized 5-second audio-video clips with lip-sync via a dual-stream CrossDiT architecture, with the 29B-parameter Pro version outperforming its predecessor and matching top competitors in speech quality.

Team Kandinsky, Julia Agafonova, Bulat Akhmatov, Mikhail Aksyutin and 36 more

Published Oct 4, 2026 · ▲ 113 on Hugging Face · Code ★ 119

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arXivUnified multimodal models

Octrees as an Explicit 3D Language

OctLLM represents 3D geometry via sparse octree tokens and trains separate 3D branches to achieve state-of-the-art multimodal 3D generation and understanding without degrading language ability.

Ran Dan, Si‐Tong Wei, Pengfei Xiong, Wei Zhang and 2 more

Published Oct 1, 2026 · 0 citations · ▲ 11 on Hugging Face · Code ★ 12

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72%Highly rated
arXivUnified multimodal models

UniEvo-VL: An On-policy Self-Distillation Training Recipe for Multimodal Model Self-improvement

UniEvo-VL improves multimodal image generation via self-distillation that minimizes divergence between student and critique-conditioned teacher diffusion distributions during self-correction. Experiments on Qwen2.5-Image improve GenEval scores from 0.747 to 0.808 without external teachers.

Fang Wu, Da Xing, Yanjie Huang, Junxi Wang and 15 more

Published Sep 30, 2026 · 0 citations · ▲ 292 on Hugging Face

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arXivHong Kong University of Science U Hong KongTencentUnified multimodal models

Adaptive Reward Routing: Dynamic Multi-Reward Optimization for Joint Audio-Video Diffusion via Forward-Process RL

Adaptive Reward Routing dynamically routes updates and balances rewards during forward-process RL for joint audio-video diffusion, consistently improving quality, alignment, and synchronization over fixed baselines.

Songlin Yang, Xiaotong Zhao, Jiacheng Zhang, Zhe Wang and 4 more

Published Sep 29, 2026 · 0 citations · ▲ 138 on Hugging Face

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arXivUnified multimodal models

HelixWorld: A Real-time Interactive Audio-Visual World Model

HelixWorld is a real-time interactive audio-visual world model that synchronizes visual scenes and spatial stereo sound under user control at 24 FPS, surpassing silent models in acoustic immersion.

Lei Ke, Jiahao Pan, Zeyue Tian, Jiaming Wang and 12 more

Published Sep 29, 2026 · 0 citations · ▲ 32 on Hugging Face · Code ★ 623

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arXivUnified multimodal models

PixelUMM: Encoder-Free Unified Image and Video Understanding and Generation

PixelUMM is an encoder-free unified model for image and video understanding and generation that represents images as spatial patches and videos as spatiotemporal tubelets, achieving competitive performance across tasks.

Cong Wei, Xuanchi Ren, Bryan Chu, Weiming Ren and 7 more

Published Sep 29, 2026 · 0 citations · ▲ 32 on Hugging Face · Code ★ 161

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arXivUnified multimodal models

Orca: The World is in Your Mind

Orca is a world foundation model that learns a unified latent space via next-state prediction from video and language, enabling scalable text, image, and action generation.

Yihao Wang, Yuheng Ji, Mingyu Cao, Yanqing Shen and 36 more

Published Jun 29, 2026 · 0 citations · ▲ 511 on Hugging Face · Code ★ 1,021

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arXivUnified multimodal models

ERNIE 5.0 Technical Report

ERNIE 5.0 is a trillion-parameter unified autoregressive multimodal model using sparse MoE and elastic training to support diverse understanding and generation tasks.

Haifeng Wang, Hua Wu, Tian Wu, Yu Sun and 36 more

Published Feb 4, 2026 · 2 citations · ▲ 268 on Hugging Face

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arXivUnified multimodal models

LTX-2: Efficient Joint Audio-Visual Foundation Model

LTX-2 is an open-source 14B/5B audiovisual transformer generating synchronized high-quality video and audio with state-of-the-art open-source quality at low computational cost.

Yoav HaCohen, Benny Brazowski, Nisan Chiprut, Yaki Bitterman and 25 more

Published Jan 6, 2026 · 0 citations · ▲ 197 on Hugging Face · Code ★ 9,606

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NeurIPS 2026The University of Hong KongU WaterlooUCSCMetaMassachusetts Institute of TechnUnified multimodal models

Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation

Tuna-2 replaces vision encoders with patch embeddings for end-to-end pixel-space multimodal understanding and generation, achieving state-of-the-art results that outperform encoder-based designs at scale.

Zhiheng Liu, Weiming Ren, Xiaoke Huang, Shoufa Chen and 11 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 70 on Hugging Face · Code ★ 756

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NeurIPS 2026Southwest University of Finance Southwestern University of FinanTencent AI LabShenzhen Institutes of Advanced Guangdong Laboratory of ArtificiUnified multimodal models

MSCR: Jointly Balancing Modality Utilization and Discovering Synergistic Information

Xinyu Chen, Liangjian Wen, Jiang Duan, Dongkai Wang and 6 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026The Chinese University of Hong KThe Chinese University of Hong KThe Chinese University of Hong KUnified multimodal models

MEME: Lightweight Hierarchical Mixture-of-Experts for Unified Affective Computing

Yinan Zhang, Haoyu Zhang, Tianshu Yu

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026NortheasternU MunichShanghai Jiao TongNortheastern University, ChinaCenter for Information and LanguUnified multimodal models

DiM$^3$: Bridging Multilingual and Multimodal Models via Direction- and Magnitude-Aware Merging

Zijing Wang, Mingyang Wang, Ercong Nie, Yongkang Liu and 5 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026TongjiUnified multimodal models

Benchmarking and Optimizing Multimodal Structured Generation: The OracleGraph Dataset and PRISM Framework

Zhihong Sun, Qi Fan, Pan Liu, Yang Yi and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026National University of SingaporeUnified multimodal models

FuseAdapt: Adaptation-Space Fusion for Multi-Modal Semantic Segmentation with Missing Modalities

Xin Zhang, Robby Tan

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Stony BrookState University of New York at Steven Institute of TechnologyNew Jersey Institute of TechnoloU Technology SydneyUnified multimodal models

COSMIO: A Benchmark for Cross-Survey Modality Imputation

Dichang Zhang, Yixuan Shao, Jiali Cui, Haotian Yin and 7 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026State University of New York at GoogleImperial College London / HuaweiGoogle DeepMindGeorgia Institute of TechnologyUnified multimodal models

Concurrent Image Understanding and Generation: Self-Correcting Coupled Markov Jump Process

Minh-Quan Le, Armand Comas, Alexandros Lattas, Stylianos Moschoglou and 6 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Central SouthXiamenUnified multimodal models

SING-CH: Task-Scale-Agnostic Lifelong Cross-Modal Hashing on Statistical Manifolds

Haoran Yang, Junge Chen, Jun Long, Zhan Yang

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Chinese University of Hong KongThe Chinese University of Hong KUnified multimodal models

A Unified Audio Language Model with Text-Aligned Factorized Audio Tokenization

Dongchao Yang, Yuanyuan Wang, Songxiang Liu, Dading Chong and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Shenzhen MSU-BITMoscow State University, LomonosGuangming LaboratoryBeijing Institute of TechnologyChina Media GroupUnified multimodal models

Reliability-Coupled Manifold-Aware Diffusion for Missing-Modality Inference

Yiming Ren, Yuhao Fang, Qing Zhou, Ming Li and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Huazhong University of Science aU Electronic Science and TechnolEbTech Co. Ltd.EB Advanced Computing LaboratoryGuangming LaboratoryUnified multimodal models

HyperSkill: Multi-Modal Skill Learning on the Unit Hypersphere

Erdemt Bao, JunChen, Weijun Qin, Shaopeng Li and 5 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026The Hong Kong University of ScieThe Hong Kong University of ScieThe Hong Kong University of ScieHong Kong University of Science Unified multimodal models

Multimodal Context-Aware Human Motion Generation with Language, Vision, and Object

Junyu Shi, Yong Sun, Zhiyuan Zhang, Lijiang LIU and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Carnegie MellonUnified multimodal models

GRAM: Group-wise Rank-Aware Modal Merging via Subspace Alignment

Di Wu, Shuaidong Pan

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026Hong Kong University of Science Alibaba GroupZhejiangPekingShandongUnified multimodal models

WorldVLA: A Unified Vision-Language-Action and World Model

Jun CEN, Siteng Huang, Yuqian Yuan, Kehan Li and 10 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026KAISTPOSTECHUnified multimodal models

Latent Reasoning in Continuous Space for Unified Multimodal Models

Byungwoo Jeon, Yoonwoo Jeong, Hyunseok Lee, Minsu Cho and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026vivo BlueImage Lab, vivo Mobile ShandongNanjingvivo Mobile Communication Co., Lvivo Mobile Communication Co., LUnified multimodal models

Holistic EvoLution via Intrinsic eXchange for Unified Multimodal Models

Shenghao Dong, Yuhang Yu, Bo Li, Jinwei Chen and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026RMIT InternationalRMITRMIT International University ViUnified multimodal models

Probe-Guided Gradient Balancing for Multimodal Learning

Vu Vo, Haytham Fayek, Thuy T Nguyen

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026, Institute of automation, ChineInstitute of Automation, ChineseCASIAInstitute of automation, ChineseAlibaba GroupUnified multimodal models

A Unified Image and Video Encoder for Multimodal LLMs

Tongtian Yue, Zikang Liu, Longteng Guo, Handong Li and 8 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Harbin Institute of TechnologyShanghai Artificial IntelligenceTsinghuaJD.comDepartment of Electronic EngineeUnified multimodal models

MMTA: Benchmarking Multimodal Temporal Analysis with Time Series, Text, and Vision

Ziyang Zhang, Shenyi Li, Yilin wang, Ziyun Cui and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Institute of automation, ChineseU Chinese Academy of SciencesHuawei Technologies Ltd.Institute of Automation, ChineseUnified multimodal models

Attribution-Guided Shared-Private Decoupling for Noise-Reduced Audio-Visual Representation Learning

Linge Wang, Yingying Chen, Bingke Zhu, Lu Zhou and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Beijing Normal-Hong Kong BaptistConcordiaHong Kong Baptist University, BeBeijing Normal-Hong Kong BaptistUnified multimodal models

M3-HNTM: Hyperspherical Multimodal Topic Modeling with Symbolic and Contextual Evidence

Zhiwen Luo, Dayu Guo, Manar Amayri, Nizar Bouguila and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U California, BerkeleyInstitute of automation, ChineseShanghai JiaotongCOWAROBOTSouth ChinaUnified multimodal models

FusionNeXt: Sequence-First 3D Multi-Modal Fusion in the Era of LLMs

Yu Hong, Xiaosong Jia, Songbur Wong, Yanhao Liu and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026The Hong Kong University of ScieThe Hong Kong University of ScieHKUSTSouth China University of TechnoRutgersUnified multimodal models

Two Drifts, One Principle: Conflict-Aware Spectral Consolidation for Multimodal Continual Learning

Haiyi Zhang, Qianyi Cai, Hanqing Wang, Zilin Wang and 6 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U Electronic Science and TechnolNanyang TechnologicalGuangming LaboratoryUnified multimodal models

BRACE: Bipolar Reference-Aware Calibration and Estimation for Incomplete Multimodal Learning

Ruiting Dai, Zesen Cai, XiaoYu Zhao, Yiting Huang and 3 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Nanjing University of InformatioUnified multimodal models

Adaptive Internal Readout for Native Multimodal Models

Yunpeng Zhou

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026KAISTUnified multimodal models

Context-Aware Generative Imputation for Robust Multimodal Learning in Missing Modality Scenarios

Jungwon Choi, Juho Lee

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026IMPACT AI, NASA ODSIIBMPixxel IncNvidiaNASA IMPACT / UAHUnified multimodal models

Beyond 3 Million Tokens: A Multi-Modal Foundation Model for Full-Resolution Heliophysics

Sujit Roy, Johannes Schmude, Ata A Asanjan, Thorsten Kurth and 12 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026Central SouthA*STARUnified multimodal models

MSC-Mol: Modality-Synergy Contrasting for Multimodal Molecular Representation Learning

Ziyu Fan, Enqi Dong, Yahan Li, Shuhong Liu and 5 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026The University of Tokyo, Rikenthe University of Tokyo, RIKENUnified multimodal models

VocalGrad: Evaluating Acoustic Perception in Audio Language Models

Koki Ryu, Hitomi Yanaka

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026NCEPUNorth China Electric PowerUnified multimodal models

An Efficient Cross-modal Feature Reconstruction Model for Multimodal Multi-class Anomaly Detection

Zhenghan Wang, Zhihui Luo, Haitao Hu, Wengang Cheng

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Kyung HeeKyungheeUnified multimodal models

CoDeRNet: Selective Cross-Task Routing under Heterogeneous Supervision for Change Detection and Captioning

Eunki Cho, Hyeon Bae Kim, Seong Tae Kim

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026StanfordU WashingtonU Washington; MetaCarnegie MellonStanford University/PinterestUnified multimodal models

M*: A Modular, Extensible, Serving System for Multimodal Models

Atindra Jha, Naomi Sagan, Keisuke Kamahori, Irmak Sivgin and 8 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026EPFLUniversitat Politècnica de CatalEPFL: Ecole Polytechnique FederaTokyo University, Tokyo InstitutEPFL - EPF LausanneUnified multimodal models

Bridging 1D, 2D, and 3D with Any-to-Any Multimodal Modeling

Jason Toskov, Oriol Barbany, Rishubh Singh, Jinya Sakurai and 9 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026SUN YAT-SEN UNIVERSITYZhejiang LabSun Yat-sen University, ChinaTencent AI LabSun Yat-SenUnified multimodal models

No Free Alignment: Observability-Aware Alignment for Multimodal Heterogeneous Learning

Canran Xiao, Puning Zhao, Enneng Yang, XIAOCHUN CAO and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Johannes Kepler Universität LinzELLIS Unit / University LinzUnified multimodal models

NeuroNTP - A Generalizable Multimodal Foundation Model for Epilepsy

József Kovács, Amadeus Hauser, Gudrun Gröppel, Wolfgang Narzt and 1 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026NVIDIAHKUSTNvidia IncNVIDIA ResearchUnified multimodal models

Full-Duplex Speech-Motion Model for Dyadic Interaction

Koki Nagano, Hongyu Liu, Wookie Park, Tianye Li and 7 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026SpotlightWuhanNanyang TechnologicalUnified multimodal models

Complexity-Aware LoRA Aggregation for Modality-Heterogeneous Federated Person Re-identification

Kunyang Lv, Wenke Huang, Wenwen He, Bin Yang and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026ZhejiangUnified multimodal models

Unaligned Image Guided Denoising via Cross-modal Conditional Flow Matching

Runmin Zhang, Linshan Li, Si-Yuan Cao, Zhu Yu and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Georgia Institute of TechnologyRutgersUnified multimodal models

Sparse Multimodal Switching State-Space Models for Regime-Dependent Neural Connectivity under Partial Observations

Rahul K Sharma, Feng Liu, Xiaochen Xian

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026U Maryland, College ParkU Maryland College ParkUnified multimodal models

XMNoise2Clean: Cross-Modal Denoising Under Sparse Data

Hirad Yazdankhah, Chris Metzler

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026U Electronic Science and TechnolPekingTsinghua University, TsinghuaUnified multimodal models

Subset-Conditioned Boundary Compensation for Missing-Modality Multimodal Classification

Zesen Cai, Lisi Mo, Yifan Fang, Yandong Yan and 3 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026U North Carolina at CharlotteSony Group CorporationUnified multimodal models

Mixture of Probes: Learning with Privileged Modalities in Multimodal LLMs Through Probing

Dominick Reilly, Qiyu Wu, Hiromi Wakaki, Srijan Das and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Nanyang TechnologicalThe University of Hong KongMeituanU Science and Technology BeijingSoutheastUnified multimodal models

LEAF: Language-EEG Aligned Foundation Model for Brain-Computer Interfaces

Muyun Jiang, Shuailei Zhang, Zhenjie Yang, Wu Mengjun and 9 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U VermontPurdueCenter for Excellence in Brain SUnified multimodal models

Split and Bridge: Multimodal Generation via Diffusion Bridging

Ahmad Arrabi, Xiaohan Zhang, Xingyu Li, Safwan Wshah

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Southern University of Science aUnified multimodal models

WaveMamba: Wave-Inspired Cross-Modal Fusion for Robust event-image Semantic Segmentation

Adeel F Mirza, Zaiyue Yang, Muntazir Hussain

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Zhongguancun AcademyTencent HunyuanNanjingPekingThe Hong Kong University of ScieUnified multimodal models

HYDRA: Representation Harmonized Tokenization for Multimodal Generation and Understanding

Xuerui Qiu, Yutao Cui, Guozhen Zhang, Junzhe Li and 8 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Karlsruher Institut für TechnoloKarlsruhe Institute for TechnoloKarlsruhe Institute of TechnologU AlbertaHunanUnified multimodal models

Read, Parse, Describe: Unified Document Parsing with Visual Element Description Generation

Yuheng Chen, Yufan Chen, Zhuojun Cai, Ruiping Liu and 7 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026ZhejiangThe Chinese University of Hong KcmjtChina Mobile Communications CompUnified multimodal models

One Unified Representation: Resolving the Appearance-Semantics Dilemma via Structural Regularization

RUIQI YANG, Fei Zhou, Yi Zhang, Liang Li and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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