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 30 / 225 页
- ICLR 2026BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Behavioural Change
- ICLR 2026BaseReward: A Strong Baseline for Multimodal Reward Model
- ICLR 2026Batch Pruning by Activation Stability
- ICLR 2026Bayesian Attention Mechanism: A Probabilistic Framework for Positional Encoding and Context Length Extrapolation
- ICLR 2026BBQ: Boosting Quantization Entropy with Bell Box Quantization
- ICLR 2026Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen!
- ICLR 2026BEAT: Visual Backdoor Attacks on VLM-based Embodied Agents via Contrastive Trigger Learning
- ICLR 2026BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design
- ICLR 2026Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMs
- ICLR 2026Benchmarking ECG Foundational Models: A Reality Check Across Clinical Tasks
- ICLR 2026Benchmarking Large Vision-Language Models on Fine-Grained Image Tasks: A Comprehensive Evaluation
- ICLR 2026Benchmarking Overton Pluralism in LLMs
- ICLR 2026Better Together: Leveraging Unpaired Multimodal Data for Stronger Unimodal Models
- ICLR 2026Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated?
- ICLR 2026Beyond Classification Accuracy: Neural-MedBench and the Need for Deeper Reasoning Benchmarks
- ICLR 2026Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning
- ICLR 2026Beyond English-Centric Training: How Reinforcement Learning Improves Cross-Lingual Reasoning in LLMs
- ICLR 2026Beyond Fixed: Training-Free Variable-Length Denoising for Diffusion Large Language Models
- ICLR 2026Beyond Length: Quantifying Long-Range Information for Long-Context LLM Pretraining Data
- ICLR 2026Beyond Linear Processing: Dendritic Bilinear Integration in Spiking Neural Networks
- ICLR 2026Beyond Multi-Token Prediction: Pretraining LLMs with Future Summaries
- ICLR 2026Beyond Outliers: A Study of Optimizers Under Quantization
- ICLR 2026Beyond Raw Detection Scores: Markov-Informed Calibration for Boosting Machine-Generated Text Detection
- ICLR 2026Beyond Real: Imaginary Extension of Rotary Position Embeddings for Long-Context LLMs
- ICLR 2026Beyond Scattered Acceptance: Fast and Coherent Inference for DLMs via Longest Stable Prefixes
- ICLR 2026Beyond Speedup - Utilizing KV Cache for Sampling and Reasoning
- ICLR 2026Beyond Static Vision: Scene Dynamic Field Unlocks Intuitive Physics Understanding in Multi-modal Large Language Models
- ICLR 2026Beyond Student: An Asymmetric Network for Neural Network Inheritance
- ICLR 2026Beyond Text-Only: Towards Multimodal Table Retrieval in Open-World
- ICLR 2026Beyond URLs: Metadata Diversity and Position for Efficient LLM Pretraining
- ICLR 2026Bias Similarity Measurement: A Black-Box Audit of Fairness Across LLMs
- ICLR 2026BideDPO: Conditional Image Generation with Simultaneous Text and Condition Alignment
- ICLR 2026Bilateral Information-aware Test-time Adaptation for Vision-Language Models
- ICLR 2026BioCAP: Exploiting Synthetic Captions Beyond Labels in Biological Foundation Models
- ICLR 2026Bird's-eye-view Informed Reasoning Driver
- ICLR 2026Block Recurrent Dynamics in Vision Transformers
- ICLR 2026Block-wise Adaptive Caching for Accelerating Diffusion Policy
- ICLR 2026BOLT: Decision‑Aligned Distillation and Budget-Aware Routing for Constrained Multimodal QA on Robots
- ICLR 2026Bongard-RWR+: Real-World Representations of Fine-Grained Concepts in Bongard Problems
- ICLR 2026Boosting Medical Visual Understanding From Multi-Granular Language Learning
- ICLR 2026Boosting Multi-Domain Reasoning of LLMs via Curvature-Guided Policy Optimization
- ICLR 2026Bootstrapping MLLM for Weakly‑Supervised Class‑Agnostic Object Counting
- ICLR 2026BOTS: A Unified Framework for Bayesian Online Task Selection in LLM Reinforcement Finetuning
- ICLR 2026Bottlenecked Transformers: Periodic KV Cache Consolidation for Generalised Reasoning
- ICLR 2026Branch and Bound Search for Exact MAP Inference in Credal Networks
- ICLR 2026Branched Schrödinger Bridge Matching
- ICLR 2026Breaking Agent Backbones: Evaluating the Security of Backbone LLMs in AI Agents
- ICLR 2026Breaking the SFT Plateau: Multimodal Structured Reinforcement Learning for Chart-to-Code Generation
- ICLR 2026Bridging Draft Policy Misalignment: Group Tree Optimization for Speculative Decoding
- ICLR 2026Bridging Radiology and Pathology Foundation Models via Concept-Based Multimodal Co-Adaptation
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。