多模态大模型论文趋势 2023–2026
视觉语言模型、图像/视频理解与生成式多模态基础模型
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 11,209 篇被归入该主题的论文。
主要结论
- 多模态大模型论文从 2023 年的 1,226 篇增长到 2026 年的 5,192 篇，三年间扩大到约 4.2 倍。
- NeurIPS 是发多模态大模型论文最多的会议，2023–2026 年共 3,319 篇，占四个会议总量的 30%。
- 交叉方向里涨得最快的是应用 · computer vision：同时属于两个主题的论文从 2023 年的 35 篇增至 2026 年的 596 篇。
- 在「前沿系统」的 4 个主题里，它的 2026 年论文数排第 1；同组增长最快的AI 智能体是 12 倍，多模态大模型是 4.2 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 433 | 138 | 146 | 509 | 1,226 |
| 2024 | 446 | 321 | 323 | 626 | 1,716 |
| 2025 | 1,074 | 816 | 390 | 795 | 3,075 |
| 2026 | 1,366 | 1,401 | 1,051 | 1,374 | 5,192 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- NeurIPS 2026$\text{A}^3$-VLA: Automatic Perception-Guided Attention Alignment for Robot Manipulation
- ICML 2026[CLS] is Not Enough: Multi-Label Recognition via Patch-Level Inference and Adaptive Aggregation
- ICLR 2026A Balanced Neuro-Symbolic Approach for Commonsense Abductive Logic
- CVPR 20263D Space as a Scratchpad for Editable Text-to-Image Generation
- NeurIPS 2025$\Delta \mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization
- ICML 2025Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation
- ICLR 2025$\gamma-$MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models
- CVPR 20252DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification
- NeurIPS 2024A Concept-Based Explainability Framework for Large Multimodal Models
- ICML 2024A Multimodal Automated Interpretability Agent
- ICLR 2024Alt-Text with Context: Improving Accessibility for Images on Twitter
- CVPR 2024Data-Efficient Multimodal Fusion on a Single GPU
- NeurIPS 20234M: Massively Multimodal Masked Modeling
- ICML 2023$\pi$-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation
- ICLR 2023A Primal-Dual Framework for Transformers and Neural Networks
- CVPR 20233D Concept Learning and Reasoning From Multi-View Images
- NeurIPS 2026$\texttt{bispectrum}$: Selective $G$-Bispectra Made Practical
- ICML 2026$G^2$-Reader: Dual Evolving Graphs for Multimodal Document QA
- ICLR 2026A Comprehensive Information-Decomposition Analysis of Large Vision-Language Models
- CVPR 20263D-IDE 3D Implicit Depth Emergent
全部多模态大模型论文
共 11,207 篇，第 81 / 225 页
- NeurIPS 2026BitDance: Scaling Autoregressive Generative Models with Binary Tokens
- NeurIPS 2026Black-Box Followers, White-Box Leaders: Partial Zeroth-Order Methods for MPECs
- NeurIPS 2026BLEND: Balancing Personalization vs. Generalization in Federated Vision–Language Models
- NeurIPS 2026BlendCast: Teaching Vision-Language Model to Anticipate Member Skill in Weather Ensembles
- NeurIPS 2026BoardGameArena: A Multi-Dimensional Benchmark for Strategic Reasoning of LLMs in Board Games
- NeurIPS 2026BOOST: Power-Optimal Strong-FWER Testing for Block-Structured Multiplicity
- NeurIPS 2026Boosting Brain-to-Image Decoding with TRIBE v2 Data Augmentation
- NeurIPS 2026Boosting Inference with Guided Reasoning: Stochastic Exploration for Recursive Models
- NeurIPS 2026Bound-Conditioned Latent Inference for Progressive Image Compression
- NeurIPS 2026Bounding Global and Local Compression Error of Signal Parameterizations
- NeurIPS 2026BoxTuning: Object-Aware Visual Prompting for Multimodal Model Fine-Tuning
- NeurIPS 2026Brain-OF: An Omnifunctional Foundation Model for fMRI, EEG and MEG
- NeurIPS 2026BrainEM: A Large-Scale and Diverse Benchmark for EM Neuron Segmentation in Connectomics
- NeurIPS 2026BrainVista: Modeling Naturalistic Brain Dynamics as Multimodal Next-Token Prediction
- NeurIPS 2026BrainWorld: A Structural-Prior-Conditioned Generative Model for Whole-Brain 4D fMRI Dynamics
- NeurIPS 2026Brenier Meets Adversarial Training: Optimal Transport Geometry for Robust Learning
- NeurIPS 2026Bridging 1D, 2D, and 3D with Any-to-Any Multimodal Modeling
- NeurIPS 2026Bridging CLIP with DINO: Cross-Modal Information Maximization for Online Test-Time Adaptation
- NeurIPS 2026Bridging Image Restoration and Recognition via Causal Mediated Unrolling
- NeurIPS 2026Bridging Modalities, Spanning Time: Structured Memory for Ultra-Long Agentic Video Reasoning
- NeurIPS 2026Bridging Structure and Language: Graph-Based Visual Reasoning for Autonomous Road Understanding
- NeurIPS 2026Bridging the Gap: Position-Independent Cache Reuse for Hybrid SSM-Attention Architectures
- NeurIPS 2026BusterX: MLLM-Powered AI-Generated Video Forgery Detection and Explanation
- NeurIPS 2026C2FT: Enhancing Fine-Grained Perception in MLLMs via Confuse-then-Contrast Fine-Tuning
- NeurIPS 2026C3H: Compression-to-Consensus Criteria Hijacking in Multimodal LLM Recommender Systems
- NeurIPS 2026CA-Judge: Teach Large Models to Judge Anomalies via Comparison for Video Anomaly Detection
- NeurIPS 2026CaC: Advancing Video Reward Models via Hierarchical Spatiotemporal Concentrating
- NeurIPS 2026CAIRN: Cross-Room 3D Scene Understanding with Topology-Aware Large Multimodal Models
- NeurIPS 2026CAM: Question Answering on Entity-Centric Videos with Continuous Extraction and Adaptive Querying
- NeurIPS 2026Can an LLM Reason Like a Lawyer? Benchmarking the ability of LLMs to map the facts of a case to the elements of the applicable legal rule
- NeurIPS 2026Can Linguistic Reasoning Vectors Enhance Multimodal Reasoning Ability?
- NeurIPS 2026Can Pixels Alone Reveal Image Origin? Minimax Limits and Learnable Interfaces for Passive Provenance
- NeurIPS 2026Can the Parts Fool the Test? Counterfactual Pairing Cycles for Relational OOD
- NeurIPS 2026Can VLMs Reason When to Stop for Human Safety?
- NeurIPS 2026Can We Model the Artifacts Explicitly? Disentangle Artifacts via Pairwise Edit Relations for Image Manipulation Localization
- NeurIPS 2026CanViT: Toward Active-Vision Foundation Models
- NeurIPS 2026CARVE: Counterfactual Video Editing for Auditing and Hardening Video Detectors
- NeurIPS 2026Casper: A Projection-Based Neurosymbolic Layer for Scalable & Guaranteed Constraint Satisfaction
- NeurIPS 2026Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization
- NeurIPS 2026CATS: Acceptance-Oriented Critical Token Adaptive Selection for Multimodal Speculative Decoding
- NeurIPS 2026Causal Benchmarks for Multimodal AI Should Measure Categorical Difference, Not Capability Gap
- NeurIPS 2026Causal-VLM: Dense Causal Captioning in Videos
- NeurIPS 2026CausalDriveBench: Evaluating Causal Reasoning in Vision-Language-Action Models for Autonomous Driving
- NeurIPS 2026CAVE: A Structured Credit Assignment Approach for Fragmented Visual Evidence Reasoning
- NeurIPS 2026CCDiff: Inverse Canonical Correlation Analysis for Discovering Visual Differences in Natural Language
- NeurIPS 2026CECAR: Cache & Expert Co-Aware Routing Accelerates On-Device Inference of MoE LLMs
- NeurIPS 2026CellularS2-Bench: A Staged, Evidence-Grounded Benchmark for Cellular Network Security Reasoning
- NeurIPS 2026Certification from Examples is Hard for Circuits and Transformers under Minimal Overparametrization
- NeurIPS 2026Chain-of-Correction: Progress-Aware Policy Steering via Anchor-Grounded Predictive Reasoning
- NeurIPS 2026ChainSpace: A Chained-Reasoning Paradigm for Spatial Intelligence
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查多模态大模型在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "multimodal-llms"}
常见问题
- 2023–2026 年四大会议一共有多少篇多模态大模型论文？
- 共 11,209 篇，按年份分别是 2023 年 1,226 篇、2024 年 1,716 篇、2025 年 3,075 篇、2026 年 5,192 篇。
- NeurIPS 2026 有多少篇多模态大模型论文？
- NeurIPS 2026 有 1,366 篇多模态大模型论文，上一届是 1,074 篇。
- ICLR 2026 有多少篇多模态大模型论文？
- ICLR 2026 有 1,401 篇多模态大模型论文，上一届是 816 篇。
- ICML 2026 有多少篇多模态大模型论文？
- ICML 2026 有 1,051 篇多模态大模型论文，上一届是 390 篇。
- CVPR 2026 有多少篇多模态大模型论文？
- CVPR 2026 有 1,374 篇多模态大模型论文，上一届是 795 篇。
- 哪个会议的多模态大模型论文最多？
- NeurIPS，2023–2026 年共 3,319 篇。