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arXivVision-language models

DEPICT: Scoring Text-to-Image Alignment by Answer Agreement

DEPICT scores text-to-image alignment via expected agreement between image and caption answers, boosting negation accuracy to 88% and exceeding fine-tuned evaluators on human correlation benchmarks.

Vasco Ramos, Sandra Godinho Silva, Joao Magalhaes, Ricardo Rei and 1 more

Published Oct 2, 2026 · 0 citations · ▲ 3 on Hugging Face

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arXivVision-language models

Foresight: planning future perception in streaming VLMs without retraining

FORESIGHT uses dual-stream anticipatory planning in frozen streaming VLMs to dynamically configure future perception, improving online benchmarks by up to 18.7 points without retraining.

Ashok Prasad Neupane, Dipan Bartaula, Ankit Belbase, Saugat Adhikari and 4 more

Published Oct 2, 2026 · 0 citations · ▲ 3 on Hugging Face · Code

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arXivVision-language models

LoopVL: Recurrent Visual Intelligence

LoopVL applies recurrent loop transformers to vision-language models via iterative shared-module updates, outperforming larger non-recurrent models and exhibiting visual aha moments.

Zhe Qian, Ziyang Gong, Zhongxing Xu, Hehan Li and 8 more

Published Sep 29, 2026 · 0 citations · ▲ 469 on Hugging Face · Code ★ 128

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arXivBaiduVision-language models

PaddleOCR-VL-1.6: Expanding the Frontier of Document Parsing with Under-Optimized Region Refinement and Progressive Post-Training

PaddleOCR-VL-1.6 applies region-aware data optimization and progressive reinforcement learning post-training to achieve 96.33% on OmniDocBench v1.6.

Zelun Zhang, Hongen Liu, Suyin Liang, Yubo Zhang and 11 more

Published Jun 2, 2026 · 0 citations · ▲ 26 on Hugging Face · Code ★ 90,719

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arXivVision-language models

VisPlay: Self-Evolving Vision-Language Models from Images

VisPlay enables vision-language models to self-evolve via reinforcement learning on unlabeled images by having a questioner and reasoner generate and train on diverse visual reasoning tasks, improving reasoning, generalization, and reducing hallucinations across benchmarks.

Yicheng He, Chengsong Huang, Li, Zongxia, Jiaxin Huang and 1 more

Published Nov 19, 2025 · 0 citations · ▲ 45 on Hugging Face · Code ★ 79

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arXivVision-language models

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

MinerU2.5 decouples global layout analysis from local content recognition via coarse-to-fine parsing, achieving state-of-the-art document parsing accuracy with low computational overhead.

Junbo Niu, Zheng Liu, Zhuangcheng Gu, Bin Wang and 36 more

Published Sep 26, 2025 · ▲ 180 on Hugging Face · Code ★ 81,154

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TPAMI 2025Nanyang TechnologicalMicrosoftVision-language models

Otter: A Multi-Modal Model With In-Context Instruction Tuning

Otter is a multi-modal model instruction-tuned with visual and textual in-context examples via the MIMIC-IT dataset, improving convergence and generalization on complex video and multi-image tasks.

Bo Li, Yuanhan Zhang, Liangyu Chen, Jinghao Wang and 5 more

Published May 20, 2025 · 75 citations · Code ★ 3,443

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arXivVision-language models

SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion

SmolDocling is a 256M-parameter vision-language model for end-to-end document conversion using DocTags to capture content, structure, and spatial layout, matching models up to 27 times larger.

Ahmed Nassar, Andres Marafioti, Matteo Omenetti, Maksym Lysak and 9 more

Published Mar 14, 2025 · ▲ 177 on Hugging Face · Code ★ 68,465

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arXivVision-language models

Diffusion Instruction Tuning

Lavender aligns vision-language model attention with Stable Diffusion during supervised fine-tuning, boosting accuracy up to 30% with minimal training data.

Chen Jin, Ryutaro Tanno, Amrutha Saseendran, Tom Diethe and 1 more

Published Feb 4, 2025 · 0 citations · ▲ 2 on Hugging Face

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arXivVision-language models

Personalized Visual Instruction Tuning

PVIT introduces a framework that curates personalized visual instruction data to cure multimodal models' face blindness, significantly boosting personalized dialogue performance.

Renjie Pi, Jianshu Zhang, Tianyang Han, Jipeng Zhang and 2 more

Published Oct 9, 2024 · 0 citations · ▲ 70 on Hugging Face · Code ★ 34

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EMNLP 2022FindingsBaiduZhejiangVision-language models

ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding

ERNIE-Layout enhances document pre-training with layout knowledge for improved visually-rich document understanding.

Qiming Peng, Yinxu Pan, Wenjin Wang, Bin Luo and 11 more

Published 2022 · 65 citations · Code ★ 106

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NeurIPS 2026nanjing universityNanjingVision-language models

Hierarchical Semantic Tree Anchoring for CLIP-Based Class-Incremental Learning

Tao Hu, Lan Li, Zhenhao Wen, Da-Wei Zhou

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

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NeurIPS 2026The Hong Kong PolytechnicHong Kong PolytechnicVision-language models

Revitalizing Medical Time Series with Vision-Informed Retrieval: A Vision-Language Perspective

Guoqi Yu, Juncheng Wang, Shujun Wang

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

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NeurIPS 2026College of Computer Science and Alibaba GroupZhejiang University, TsinghuaBytedance ChinaVision-language models

C2FT: Enhancing Fine-Grained Perception in MLLMs via Confuse-then-Contrast Fine-Tuning

Shaoxuan He, Benlei Cui, Shikai Qiu, Yuwen Zhai 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 2026Northeast University at QinhuangNortheasternHebei University of TechnologySouth China University of TechnoVision-language models

Not Every Image Teaches Vision: Visual-Necessity-Gated Continual Learning for Multimodal Large Language Models

Jiamu Xue, Haidong Kang, Wen Luo, Jubo Chen and 1 more

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

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NeurIPS 2026Alibaba Token Hub, Alibaba GroupAlibaba GroupAlibabaDept. of Computer Sci. & EngU MichiganVision-language models

Despa: Resolving Spatial Collapse in VLMs via Depth-Grounded Geometry

Yujing Lou, Pingyi Chen, Shen Cao, Lubin Fan and 3 more

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

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NeurIPS 2026McGillVision-language models

Pixels over Symbols: Sensory Realism Improves Behavioral Alignment in Models of Cognition

Mark Bai, Xiaoxuan Lei, Zihan Weng, MOTAHAREH POURRAHIMI and 2 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 Hong Kong University of ScieBeijing NormalLi Auto Inc.Vision-language models

GaitLingo: Self-Supervised Gait Representation Learning with Language Priors

Chenye Wang, Zhengxiang Lan, Saihui Hou, Zhikang Liu 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 2026Florida StateVision-language models

LatentRouter: Can We Choose the Right Multimodal Model Before Seeing Its Answer?

Xueqi Cheng, Yushun Dong

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

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NeurIPS 2026PrincetonVision-language models

HEED: Density-Weighted Residual Alignment for Hybrid Vision-Language Model Distillation

Yihao Liang, Niraj Jha

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

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NeurIPS 2026National University of SingaporeU Science and Technology of ChinVision-language models

Diffusion Thinking for Fast Long-Form Spatial Reasoning in Vision--Language Models

Zhitao Zeng, weitao Du, Yueming Jin

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 ScieByteDance Inc.ByteDanceByteDance SeedPekingVision-language models

Training Long-Context Vision-Language Models Effectively with Generalization Beyond 128K Context

Zhaowei Wang, Lishu Luo, Haodong Duan, WeiWeiLiu and 8 more

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

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NeurIPS 2026Samsung Advanced Institute of TeSamsung Advanced Institute of TeVision-language models

Codebook-Guided Cross-Modal Knowledge Distillation for Structurally Heterogeneous Features

Dae Ung Jo, Jongin Lim, YoungJoon Yoo, Daeho Um

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

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NeurIPS 2026HarvardStanfordJilinByteDance Inc.Vision-language models

Render Structure Uncertainty for HTML Repair in MLLM-based UI-to-Code Generation

Haoran Ma, Jiechao Gao, Shisong Tang, bing han 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 2026U WashingtonDepartment of Computer Science, Allen Institute for AI, UniversiVision-language models

Toward Multimodal Sheet Music Recognition and Understanding

Guang Yang, Brian Zheng, Victoria Ebert, Noah Smith

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

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NeurIPS 2026SichuanVision-language models

LAMP: Language-Modulated Geometric Preservation for Multi-Modal Object Re-Identification

Shuying Li, Chao Su, Yongxiang Li, Peng Hu and 2 more

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

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NeurIPS 2026KAISTVision-language models

InfCLIP: Unified Data Valuation for CLIP Pretraining via Influence-Inspired Scoring

Nohyun Ki, Hye Won Chung

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

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NeurIPS 2026Beijing University of Posts and Alibaba GroupEberhard-Karls-Universität TübinMeituanU New South WalesVision-language models

Concentrated Gradients Amplify Forgetting: Dominant-direction Projection for Continual Multimodal Learning

Chengxiang Huang, Haopeng Zhang, Yuzhe Han, Rui Dai and 3 more

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

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NeurIPS 2026Chang'anChang‘anNational University of SingaporeChang’anVision-language models

Omni-SpikeDet: A Spiking Open-World Detector with Dynamic Text–Image Alignment

Ziqi Li, Tao Gao, Ting Chen, Xin Zhang and 3 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Tohoku University, Tokyo InstituTohokuVision-language models

VisEditBench: A Benchmark for Vector-Format Diagram Editing with Visual Instructions

Akito Taneguchi, Itsumi Saito, Haruto Yoshida, Jun Suzuki

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

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NeurIPS 2026TsinghuaHarbin Institute of TechnologyShenzhenShenzhen TechnologySIGS, TsinghuaVision-language models

What Drives Test-Time Adaptation for CLIP? A Controlled Empirical Study from an Update Perspective

Jiazhen Huang, Xiao Chen, Zhiming Liu, Yaru Sun and 2 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 Illinois at ChicagoNorthwesternIntelU Illinois, ChicagoVision-language models

VLS: A Vision-Language-Shape Model for Open-Vocabulary Partonomic 3D Reconstruction

Xiaoqian Ruan, Pei Yu, Dian Jia, Hyeonjeong Park and 2 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026SpotlightInformation Support Force EngineCentral SouthXiamenVision-language models

UGGRH: Unsupervised Generative Completion and Graph-attention Refinement for Incomplete Cross-modal Hashing

Yunfei Chen, Yuchen Zhang, Hongyu Lin, Peng Liu and 1 more

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

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NeurIPS 2026Information Support Force EngineCentral SouthVision-language models

Decoupled Prototype Contrastive Alignment Hashing for Cross-Modal Retrieval

Yunfei Chen, Renwei Xia, Shangchong Gao, Zhan Yang

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

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NeurIPS 2026ZhejiangNanjingAlibaba GroupBeijing University of Chemical TZhejiang LabVision-language models

ALAM: Algebraically Consistent Latent Transitions for Vision-Language-Action Models

Zuojin Tang, Haoyun Liu, Xinyuan Chang, Changjie Wu and 10 more

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

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NeurIPS 2026FudanU Hong KongShanghai JiaotongXi'an JiaotongNankaiVision-language models

MedVTok: A General-Purpose Medical Visual Tokenizer

Chenglong Ma, Yuanfeng Ji, Junzhi Ning, Jiyao Liu and 17 more

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

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NeurIPS 2026Exoptica LabsSpace Systems CommandUSSFVision-language models

Sophon: A Procedural Diagnostic for Spatial Reasoning in Vision-Language Models

Zach Gazak, Ryan Swindle, Justin Fletcher

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

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NeurIPS 2026ZhejiangSimon FraserVision-language models

Spectral Rank Calibration for Continual LoRA Merging in Multimodal Large Language Models

Chenrui Wu, Haishuai Wang, Jiajun Bu, Jiangchuan Liu

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

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NeurIPS 2026XiamenTsinghua University, TsinghuaVision-language models

Cross-Modal Prior-Guided Training with Visual Foundation Models for Unsupervised LiDAR Point Cloud Registration

KeZheng Xiong, Shiyun Xu, Sheng Ao, Mingming Wang 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 2026Nanjing AgricuturalEast China NormalPekingU WollongongU Central FloridaVision-language models

Beyond Global Alignment: Structured Compositional Reasoning for Vision-Language Models

Zhoujun Ye, Yiwei Fu, Qiyun Huang, Jie 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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