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 61 / 225 页
- ICML 2026Distilling Neuro-Symbolic Programs into 3D Multi-modal LLMs
- ICML 2026Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning
- ICML 2026DIVA: Harnessing the Representation Divergence in Unified Multimodal Models for Mutual Reinforcement
- ICML 2026Dive into the Scene: Breaking the Perceptual Bottleneck in Vision-Language Decision Making via Focus Plan Generation
- ICML 2026Diversity Matters: Revisiting Test-Time Compute in Vision-Language Models
- ICML 2026Divide and Conquer: Reliable Multi-View Evidential Learning for Deepfake Detection
- ICML 2026DIYHealth Suite: Dataset, Model, and Benchmark for Health Management at Home
- ICML 2026DLEBench: Evaluating Small-scale Object Editing Ability for Instruction-based Image Editing Model
- ICML 2026dnaHNet: A Scalable and Hierarchical Foundation Model for Genomic Sequence Learning
- ICML 2026Do Audio LLMs Listen or Read? Analyzing and Mitigating Paralinguistic Failures with VoxParadox
- ICML 2026Do Vision and Text Cues Exhibit Evidential Coupling? UFO: A Benchmark for Compositional Multimodal Reasoning in Unified Models
- ICML 2026Do-Prompt: Causal Interventions Meet Variational Prompt Bottlenecks
- ICML 2026DocHop: Benchmarking Out-of-domain Multi-hop Reasoning in Information-Dense Documents
- ICML 2026DocVAL: Validated Chain-of-Thought Distillation for Grounded Document VQA
- ICML 2026Does AI Reviewer See the Full Picture? Attacking and Defending Multimodal Peer Review
- ICML 2026Does Reasoning Improve Seeing? Understanding When Vision-Language Models Benefit from Thinking
- ICML 2026Don't Force the Fit: Bounded Log-Likelihood Loss for Enhanced Reasoning in Large Language Models
- ICML 2026Don't Forget Why You Started: Tackling Dual Forgetting in Vision-Language Continual Learning
- ICML 2026Don't Overthink with Pixels: Efficient Reasoning for Segmentation
- ICML 2026DOUBT: Decoupled Object-level Understanding and Bridging via vMF-based Trustworthiness for Hallucination Detection in MLLMs
- ICML 2026DPsurv: Dual-Prototype Evidential Fusion for Uncertainty-Aware and Interpretable Whole Slide Image Survival Prediction
- ICML 2026DR-MMSearchAgent: Deepening Reasoning in Multimodal Search Agents
- ICML 2026DR$^2$Seg: Decomposed Two-Stage Rollouts for Efficient Reasoning Segmentation in Multimodal Large Language Models
- ICML 2026DREAM-R: Multimodal Speculative Reasoning with RL-Based Refined Drafting, Precise Verification, and Fully Parallel Execution
- ICML 2026DRFusion: Drift-Resilient Temporally Consistent Infrared–Visible Video Fusion
- ICML 2026DSB: Dynamic Sliding Block Scheduling for Diffusion LLMs
- ICML 2026DTKG: Dual-Track Knowledge Graph-Verified Reasoning Framework for Multi-Hop QA
- ICML 2026Dual-Latent Memory Routing for Vision-Language Reasoning
- ICML 2026DuRP: Dual-Stage Physics-Embedded Learning for Joint Radiance and Polarization Restoration
- ICML 2026DyGRO-VLA: Cross-Task Scaling of Vision–Language–Action Models via Dynamic Grouped Residual Optimization
- ICML 2026Dyn-VPP: Video Prediction Policy Optimization for Improved Visual Dynamics
- ICML 2026Dynamic Decision Learning: Test-Time Evolution for Abnormality Grounding in Rare Diseases
- ICML 2026Dynamic Linear Attention
- ICML 2026Dynamic Multimodal Evaluation via Knowledge-Enhanced Benchmark Evolution
- ICML 2026EAGer: Entropy-Aware GEneRation for Adaptive Inference-Time Scaling
- ICML 2026EAKV: An Entropy-Driven Adaptive KV Compression Framework for Long Video Understanding
- ICML 2026ECA: Efficient Continual Alignment for Open-Ended Image-to-Text Generation
- ICML 2026EchoAttention: Exploiting Token-Pair Redundancy and Frame-Block Similarity for Efficient Video Generation
- ICML 2026EcoVLA: Environment-Aware Adaptive Pruning with Interleaved Inference Orchestration for Vision-Language-Action Models
- ICML 2026EEG-Based Multimodal Learning via Hyperbolic Mixture-of-Curvature Experts
- ICML 2026EEmo-Logic: A Unified Dataset and Multi-Stage Framework for Comprehensive Image-Evoked Emotion Assessment
- ICML 2026Effective Distillation to Hybrid xLSTM Architectures
- ICML 2026Effective Model Pruning : Measuring the Redundancy of Model Components
- ICML 2026Efficient Distributed MLLM Training with Cornstarch
- ICML 2026Efficient DP-SGD for LLMs with Randomized Clipping
- ICML 2026Efficient Hallucination Detection for LLMs Using Uncertainty-Aware Attention Heads
- ICML 2026Efficient Reasoning with Hidden Thinking
- ICML 2026Efficient RL Training for LLMs with Experience Replay
- ICML 2026Ego3S: Select, Strengthen, and Synchronize for Efficient Egocentric Reasoning
- ICML 2026Embodied Interpretability: Linking Causal Understanding to Generalization in Vision-Language-Action Models
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。