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 390 篇，第 6 / 8 页
- ICML 2025Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner
- ICML 2025Parrot: Multilingual Visual Instruction Tuning
- ICML 2025PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs
- ICML 2025Perception in Reflection
- ICML 2025Peripheral Memory for LLMs: Integration of Sequential Memory Banks with Adaptive Querying
- ICML 2025Phase transitions for the existence of unregularized M-estimators in single index models
- ICML 2025PoisonedEye: Knowledge Poisoning Attack on Retrieval-Augmented Generation based Large Vision-Language Models
- ICML 2025Position: Beyond Assistance – Reimagining LLMs as Ethical and Adaptive Co-Creators in Mental Health Care
- ICML 2025Position: Enough of Scaling LLMs! Lets Focus on Downscaling
- ICML 2025Position: LLMs Need a Bayesian Meta-Reasoning Framework for More Robust and Generalizable Reasoning
- ICML 2025Position: Not All Explanations for Deep Learning Phenomena Are Equally Valuable
- ICML 2025Position: Rethinking LLM Bias Probing Using Lessons from the Social Sciences
- ICML 2025Primitive Vision: Improving Diagram Understanding in MLLMs
- ICML 2025Privacy-Shielded Image Compression: Defending Against Exploitation from Vision-Language Pretrained Models
- ICML 2025Probing Visual Language Priors in VLMs
- ICML 2025Product of Experts with LLMs: Boosting Performance on ARC Is a Matter of Perspective
- ICML 2025Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models
- ICML 2025Prompt-based Depth Pruning of Large Language Models
- ICML 2025Proposer-Agent-Evaluator (PAE): Autonomous Skill Discovery For Foundation Model Internet Agents
- ICML 2025PROXSPARSE: REGULARIZED LEARNING OF SEMI-STRUCTURED SPARSITY MASKS FOR PRETRAINED LLMS
- ICML 2025Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting
- ICML 2025Putnam-AXIOM: A Functional & Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs
- ICML 2025Puzzle: Distillation-Based NAS for Inference-Optimized LLMs
- ICML 2025PyTDC: A multimodal machine learning training, evaluation, and inference platform for biomedical foundation models
- ICML 2025QMamba: On First Exploration of Vision Mamba for Image Quality Assessment
- ICML 2025QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration
- ICML 2025Quantifying Prediction Consistency Under Fine-tuning Multiplicity in Tabular LLMs
- ICML 2025Quantum Speedup for Hypergraph Sparsification
- ICML 2025QuEST: Stable Training of LLMs with 1-Bit Weights and Activations
- ICML 2025R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts
- ICML 2025Ranked from Within: Ranking Large Multimodal Models Without Labels
- ICML 2025RBench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation
- ICML 2025RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation
- ICML 2025Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger
- ICML 2025Reasoning Limitations of Multimodal Large Language Models. A case study of Bongard Problems
- ICML 2025Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation
- ICML 2025ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding
- ICML 2025ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning
- ICML 2025RepoAudit: An Autonomous LLM-Agent for Repository-Level Code Auditing
- ICML 2025Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning
- ICML 2025Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG
- ICML 2025Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning
- ICML 2025Reward-Guided Speculative Decoding for Efficient LLM Reasoning
- ICML 2025Robust Multimodal Large Language Models Against Modality Conflict
- ICML 2025RollingQ: Reviving the Cooperation Dynamics in Multimodal Transformer
- ICML 2025rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
- ICML 2025RULEBREAKERS: Challenging LLMs at the Crossroads between Formal Logic and Human-like Reasoning
- ICML 2025SAE-V: Interpreting Multimodal Models for Enhanced Alignment
- ICML 2025SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models
- ICML 2025SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes
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。