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 5,190 篇，第 58 / 104 页
- ICML 2026Bad Seeing or Bad Thinking? Rewarding Perception for Multimodal Reasoning
- ICML 2026BEAR: Dissecting Embodied Abilities in Multimodal Language Models through Skill-level Evaluation and Diagnosis
- ICML 2026BEDTime: A Unified Benchmark for Automatically Describing Time Series
- ICML 2026Benchmarking and Enhancing VLM for Compressed Image Understanding
- ICML 2026Benchmarking and Evolving Reason-Reflect-Rectify for Reflective Visual Generation
- ICML 2026Benchmarking Dense and Indiscernible Object Counting with Blueberries
- ICML 2026Benchmarking LLM-Assisted Blue Teaming via Standardized Threat Hunting
- ICML 2026Benchmarking the Scientific Mind: A Pathology-Derived Biomedical VQA Benchmark for Complex Scientific Reasoning
- ICML 2026Bend the Basics: Degradation-Aware Deformable Tokenization for All-in-One Image Restoration
- ICML 2026Best of Both Worlds: Multimodal Reasoning and Generation via Unified Discrete Flow Matching
- ICML 2026Beyond Attention Imbalance: Mitigating Hallucinations via Spectral Surgery
- ICML 2026Beyond Blind Noising: Disentangled Visual Rectification for Hallucination Mitigation in MLLMs
- ICML 2026Beyond Description: Federated Adaptation via Semantic-Visual Prototype Alignment
- ICML 2026Beyond Fixed Biases: Decoding the Role of Reasoning Uncertainty in MLLM Modality Conflicts
- ICML 2026Beyond Language Modeling: An Exploration of Multimodal Pretraining
- ICML 2026Beyond Logits: Coherent Hallucination Mitigation via Attention Contrastive Decoding
- ICML 2026Beyond Logits: Metastable Latent Dynamics for Sample-Efficient Best-of-N Selection in LLMs
- ICML 2026Beyond Next-Token Alignment: Distilling Multimodal Large Language Models via Token Interactions
- ICML 2026Beyond Sample-Level Forgetting: Improving Reliability in Multimodal Unlearning
- ICML 2026Beyond Single-View Indexing: Structure-Aware Multi-View Retrieval for Knowledge-Based VQA
- ICML 2026Beyond Text-to-SQL: Can LLMs Really Debug Enterprise ETL SQL?
- ICML 2026Beyond Unidirectional Bias: Reciprocal Perspective Calibration in Scene Graph Generation
- ICML 2026Beyond VLM-Based Rewards: Diffusion-Native Latent Reward Modeling
- ICML 2026BFCL Audio: An Audio Function Calling Evaluation for Large Language Models
- ICML 2026Bimodal masked language modeling for bulk RNA-seq and DNA methylation representation learning
- ICML 2026Bioacoustic Geolocation: Species Sounds as Geographic Signals
- ICML 2026BioProBench: A Corpus and Benchmark for Biological Protocol Reasoning in Autonomous Science
- ICML 2026BiRQA: Bidirectional Robust Quality Assessment for Images
- ICML 2026BizFinBench.v2: Towards Reliable LLMs in Finance via Real-User Data and Offline/Online Bilingual Evaluation
- ICML 2026Block Rotation is All You Need for MXFP4 Quantization
- ICML 2026BrainJanus: A Unified Model for Understanding and Generation across Brain, Vision, and Language
- ICML 2026Breaking Dual Bottlenecks: Evolving Unified Multimodal Models into Self-Adaptive Interleaved Visual Reasoners
- ICML 2026BRIDGE: Triangular Fixed-Point Refinement for Long-Horizon Persona Consistency
- ICML 2026Bridging On-Device and Cloud LLMs for Collaborative Reasoning: A Unified Methodology for Local Routing and Post-Training
- ICML 2026Bridging the Grounding Gap in VideoQA via Typed Memory for Language-based Belief-State Reasoning
- ICML 2026Bridging the Knowledge-Prediction Gap in LLMs on Multiple-Choice Questions
- ICML 2026Bridging the Perceptual Gap: Residual-Enhanced Downscaling and Manifold-Aware Perception Alignment Adaptation for NR-IQA
- ICML 2026Bring My Cup! Personalizing Vision-Language-Action Models with Visual Attentive Prompting
- ICML 2026BVS: Bayesian Visual Search with Multimodal Large Language Model for Fine-grained Perception
- ICML 2026BYORn: Bootstrap Your Own Responses to Defend Large Vision-Language Models Against Backdoor Attacks
- ICML 2026CACR: Reinforcing Temporal Answer Grounding in Instructional Video via Candidate-Aware Causal Reasoning
- ICML 2026Calibrated Multimodal Representation Learning with Missing Modalities
- ICML 2026CAMP: Coherent Alignment of Multimodal Prototypes for Explainable Complementary Learning
- ICML 2026Can LLMs Reason Structurally? Benchmarking via the lens of Data Structures
- ICML 2026Can VLMs Diagnose and Recover from VLA Manipulation Faults?
- ICML 2026Can We Build a Monolithic Model for Fake Image Detection? SICA: Semantic-Induced Constrained Adaptation for Unified-Yet-Discriminative Artifact Feature Space Reconstruction
- ICML 2026CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation
- ICML 2026Capacity without Access: Reinterpreting the Mid-Depth Spectral Plateau in LLMs
- ICML 2026CAPTCHA Solving for Native GUI Agents: Automated Reasoning-Action Data Generation and Self-Corrective Training
- ICML 2026Capturing Gaze Shifts for Guidance: Cross-Modal Fusion Enhancement for VLM Hallucination Mitigation
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。