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 1,401 篇，第 22 / 29 页
- ICLR 2026Seeing but Not Believing: Probing the Disconnect Between Visual Attention and Answer Correctness in VLMs
- ICLR 2026Seeing Through Deception: Uncovering Misleading Creator Intent in Multimodal News with Vision-Language Models
- ICLR 2026Seeing Through Words: Controlling Visual Retrieval Quality with Language
- ICLR 2026Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory
- ICLR 2026Seek-CAD: A Self-refined Generative Modeling for 3D Parametric CAD Using Local Inference via DeepSeek
- ICLR 2026Selection, Reflection and Self-Refinement: Revisit Reasoning Tasks via a Causal Lens
- ICLR 2026Self-Augmented Visual Contrastive Decoding
- ICLR 2026Self-Evolving Vision-Language Models for Image Quality Assessment via Voting and Ranking
- ICLR 2026Self-Improving Vision-Language-Action Models with Data Generation via Residual RL
- ICLR 2026Self-Refining Vision Language Model for Robotic Failure Detection and Reasoning
- ICLR 2026Self-Rewarding Vision-Language Model via Reasoning Decomposition and Multi-Reward Policy Optimization
- ICLR 2026SelfReflect: Can LLMs Communicate Their Internal Answer Distribution?
- ICLR 2026Semantic Uncertainty Quantification of Hallucinations in LLMs: A Quantum Tensor Network Based Method
- ICLR 2026Semantic Visual Anomaly Detection and Reasoning in AI-Generated Images
- ICLR 2026SemHiTok: A Unified Image Tokenizer via Semantic-Guided Hierarchical Codebook for Multimodal Understanding and Generation
- ICLR 2026Seq vs Seq: An Open Suite of Paired Encoders and Decoders
- ICLR 2026Sequential Parallel Duality in Prefix Scannable Models
- ICLR 2026SesaHand: Enhancing 3D Hand Reconstruction via Controllable Generation with Semantic and Structural Alignment
- ICLR 2026SFT Doesn’t Always Hurt General Capabilities: Revisiting Domain-Specific Fine-Tuning in LLMs
- ICLR 2026SHE-LoRA: Selective Homomorphic Encryption for Federated Tuning with Heterogeneous LoRA
- ICLR 2026SHIELD: Suppressing Hallucinations In LVLM Encoders via Bias and Vulnerability Defense
- ICLR 2026ShieldedCode: Learning Robust Representations for Virtual Machine Protected Code
- ICLR 2026Shift-and-Sum Quantization for Visual Autoregressive Models
- ICLR 2026Shuffle-R1: Efficient RL framework for Multimodal Large Language Models via Data-centric Dynamic Shuffle
- ICLR 2026SigLIP-HD by Fine-to-Coarse Supervision
- ICLR 2026SIGMA-GEN: STRUCTURE AND IDENTITY GUIDED MULTI-SUBJECT ASSEMBLY FOR IMAGE GENERATION
- ICLR 2026Sim2Real VLA: Zero-Shot Generalization of Synthesized Skills to Realistic Manipulation
- ICLR 2026SiMO: Single-Modality-Operable Multimodal Collaborative Perception
- ICLR 2026SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs
- ICLR 2026SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning
- ICLR 2026Simulation to Rules: A Dual-VLM Framework for Formal Visual Planning
- ICLR 2026SiNGER: A Clearer Voice Distills Vision Transformers Further
- ICLR 2026SinkTrack: Attention Sink based Context Anchoring for Large Language Models
- ICLR 2026SIPDO: Closed-Loop Prompt Optimization via Synthetic Data Feedback
- ICLR 2026SketchThinker-R1: Towards Efficient Sketch-Style Reasoning in Large Multimodal Models
- ICLR 2026sleep2vec: Unified Cross-Modal Alignment for Heterogeneous Nocturnal Biosignals
- ICLR 2026SliderQuant: Accurate Post-Training Quantization for LLMs
- ICLR 2026SLM-MUX: Orchestrating Small Language Models for Reasoning
- ICLR 2026SlotGCG: Exploiting the Positional Vulnerability in LLMs for Jailbreak Attacks
- ICLR 2026Small Drafts, Big Verdict: Information-Intensive Visual Reasoning via Speculation
- ICLR 2026SMAN-Bench: A Cross-System Benchmark for Mobile Agents under Single- and Multi-path, Ambiguous, and Noisy Tasks
- ICLR 2026SmellNet: A Large-scale Dataset for Real-world Smell Recognition
- ICLR 2026Soft Equivariance Regularization for Invariant Self-Supervised Learning
- ICLR 2026SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization
- ICLR 2026SophiaVL-R1: Reinforcing MLLMs Reasoning with Thinking Reward
- ICLR 2026SP-VLA: A Joint Model Scheduling and Token Pruning Approach for VLA Model Acceleration
- ICLR 2026SpaCE-10: A Comprehensive Benchmark for Multimodal Large Language Models in Compositional Spatial Intelligence
- ICLR 2026Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs
- ICLR 2026Sparse CLIP: Co-Optimizing Interpretability and Performance in Contrastive Learning
- ICLR 2026Sparsity Forcing: Reinforcing Token Sparsity of MLLMs
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。