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 3,319 篇，第 50 / 67 页
- NeurIPS 2024A Practitioner's Guide to Real-World Continual Multimodal Pretraining
- NeurIPS 2024A StrongREJECT for Empty Jailbreaks
- NeurIPS 2024A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks
- NeurIPS 2024A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation
- NeurIPS 2024Accelerating Pre-training of Multimodal LLMs via Chain-of-Sight
- NeurIPS 2024AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models
- NeurIPS 2024Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare
- NeurIPS 2024Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models
- NeurIPS 2024Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP
- NeurIPS 2024Aligning Audio-Visual Joint Representations with an Agentic Workflow
- NeurIPS 2024Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms
- NeurIPS 2024All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation
- NeurIPS 2024Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization
- NeurIPS 2024AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries
- NeurIPS 2024An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching
- NeurIPS 2024Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions
- NeurIPS 2024Animal-Bench: Benchmarking Multimodal Video Models for Animal-centric Video Understanding
- NeurIPS 2024Are Large Language Models Good Statisticians?
- NeurIPS 2024Are We on the Right Way for Evaluating Large Vision-Language Models?
- NeurIPS 2024ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users
- NeurIPS 2024Artemis: Towards Referential Understanding in Complex Videos
- NeurIPS 2024Ask, Attend, Attack: An Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models
- NeurIPS 2024Automated Multi-level Preference for MLLMs
- NeurIPS 2024Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models
- NeurIPS 2024AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation
- NeurIPS 2024Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs
- NeurIPS 2024Bayesian-guided Label Mapping for Visual Reprogramming
- NeurIPS 2024Benchmarking LLMs via Uncertainty Quantification
- NeurIPS 2024Benchmarking Trustworthiness of Multimodal Large Language Models: A Comprehensive Study
- NeurIPS 2024BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays
- NeurIPS 2024BendVLM: Test-Time Debiasing of Vision-Language Embeddings
- NeurIPS 2024Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales
- NeurIPS 2024Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
- NeurIPS 2024Biologically Inspired Learning Model for Instructed Vision
- NeurIPS 2024Biomedical Visual Instruction Tuning with Clinician Preference Alignment
- NeurIPS 2024BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity
- NeurIPS 2024BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity
- NeurIPS 2024BiVLC: Extending Vision-Language Compositionality Evaluation with Text-to-Image Retrieval
- NeurIPS 2024Black-Box Forgetting
- NeurIPS 2024BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages
- NeurIPS 2024BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping
- NeurIPS 2024Boosting Vision-Language Models with Transduction
- NeurIPS 2024Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli
- NeurIPS 2024Bridge the Modality and Capability Gaps in Vision-Language Model Selection
- NeurIPS 2024CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset
- NeurIPS 2024Calibrated Self-Rewarding Vision Language Models
- NeurIPS 2024CALVIN: Improved Contextual Video Captioning via Instruction Tuning
- NeurIPS 2024Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
- NeurIPS 2024Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
- NeurIPS 2024Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation
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。