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 321 篇，第 6 / 7 页
- ICLR 2024Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
- ICLR 2024Sign2GPT: Leveraging Large Language Models for Gloss-Free Sign Language Translation
- ICLR 2024Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation
- ICLR 2024Skip-Attention: Improving Vision Transformers by Paying Less Attention
- ICLR 2024SLiMe: Segment Like Me
- ICLR 2024Soft Contrastive Learning for Time Series
- ICLR 2024SPDER: Semiperiodic Damping-Enabled Object Representation
- ICLR 2024SpeechTokenizer: Unified Speech Tokenizer for Speech Language Models
- ICLR 2024SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning
- ICLR 2024Stable Anisotropic Regularization
- ICLR 2024Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds
- ICLR 2024Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects
- ICLR 2024STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models
- ICLR 2024Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding
- ICLR 2024SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs
- ICLR 2024SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS
- ICLR 2024Synergistic Patch Pruning for Vision Transformer: Unifying Intra- & Inter-Layer Patch Importance
- ICLR 2024T-MARS: Improving Visual Representations by Circumventing Text Feature Learning
- ICLR 2024Tag2Text: Guiding Vision-Language Model via Image Tagging
- ICLR 2024Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
- ICLR 2024Talk like a Graph: Encoding Graphs for Large Language Models
- ICLR 2024Teach LLMs to Phish: Stealing Private Information from Language Models
- ICLR 2024Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs
- ICLR 2024Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models
- ICLR 2024The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World
- ICLR 2024The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
- ICLR 2024The Effectiveness of Random Forgetting for Robust Generalization
- ICLR 2024The Generative AI Paradox: “What It Can Create, It May Not Understand”
- ICLR 2024The Need for Speed: Pruning Transformers with One Recipe
- ICLR 2024The Reversal Curse: LLMs trained on “A is B” fail to learn “B is A”
- ICLR 2024The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
- ICLR 2024The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
- ICLR 2024The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric
- ICLR 2024Think before you speak: Training Language Models With Pause Tokens
- ICLR 2024TiC-CLIP: Continual Training of CLIP Models
- ICLR 2024Time Travel in LLMs: Tracing Data Contamination in Large Language Models
- ICLR 2024Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
- ICLR 2024TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning
- ICLR 2024Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models
- ICLR 2024Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs
- ICLR 2024Towards Foundation Models for Knowledge Graph Reasoning
- ICLR 2024Towards Generative Abstract Reasoning: Completing Raven’s Progressive Matrix via Rule Abstraction and Selection
- ICLR 2024Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
- ICLR 2024Training Diffusion Models with Reinforcement Learning
- ICLR 2024Unbiased Watermark for Large Language Models
- ICLR 2024Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions
- ICLR 2024Understanding prompt engineering may not require rethinking generalization
- ICLR 2024Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP
- ICLR 2024UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling
- ICLR 2024Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization
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。