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 30 / 67 页
- NeurIPS 2025Beyond Greedy Exits: Improved Early Exit Decisions for Risk Control and Reliability
- NeurIPS 2025Beyond Modality Collapse: Representation Blending for Multimodal Dataset Distillation
- NeurIPS 2025Beyond Oracle: Verifier-Supervision for Instruction Hierarchy in Reasoning and Instruction-Tuned LLMs
- NeurIPS 2025Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs
- NeurIPS 2025Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents
- NeurIPS 2025Bio-Inspired Image Restoration
- NeurIPS 2025BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning
- NeurIPS 2025BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model
- NeurIPS 2025Bisecle: Binding and Separation in Continual Learning for Video Language Understanding
- NeurIPS 2025Bits Leaked per Query: Information-Theoretic Bounds for Adversarial Attacks on LLMs
- NeurIPS 2025Black-Box Membership Inference Attack for LVLMs via Prior Knowledge-Calibrated Memory Probing
- NeurIPS 2025BLINK-Twice: You see, but do you observe? A Reasoning Benchmark on Visual Perception
- NeurIPS 2025Block-Biased Mamba for Long-Range Sequence Processing
- NeurIPS 2025BlockScan: Detecting Anomalies in Blockchain Transactions
- NeurIPS 2025BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing
- NeurIPS 2025BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset
- NeurIPS 2025Boosting Knowledge Utilization in Multimodal Large Language Models via Adaptive Logits Fusion and Attention Reallocation
- NeurIPS 2025Brain Harmony: A Multimodal Foundation Model Unifying Morphology and Function into 1D Tokens
- NeurIPS 2025Brain network science modelling of sparse neural networks enables Transformers and LLMs to perform as fully connected
- NeurIPS 2025Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining
- NeurIPS 2025Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification
- NeurIPS 2025BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models
- NeurIPS 2025Bridging the gap to real-world language-grounded visual concept learning
- NeurIPS 2025Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation
- NeurIPS 2025BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent
- NeurIPS 2025Building 3D Representations and Generating Motions From a Single Image via Video-Generation
- NeurIPS 2025BurstDeflicker: A Benchmark Dataset for Flicker Removal in Dynamic Scenes
- NeurIPS 2025C3Po: Cross-View Cross-Modality Correspondence by Pointmap Prediction
- NeurIPS 2025C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning
- NeurIPS 2025Calibrating Translation Decoding with Quality Estimation on LLMs
- NeurIPS 2025CAMILA: Context-Aware Masking for Image Editing with Language Alignment
- NeurIPS 2025Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark
- NeurIPS 2025Can Large Multimodal Models Understand Agricultural Scenes? Benchmarking with AgroMind
- NeurIPS 2025Can LLMs Reason Over Non-Text Modalities in a Training-Free Manner? A Case Study with In-Context Representation Learning
- NeurIPS 2025Can Multi-Modal LLMs Provide Live Step-by-Step Task Guidance?
- NeurIPS 2025Can We Infer Confidential Properties of Training Data from LLMs?
- NeurIPS 2025CAPability: A Comprehensive Visual Caption Benchmark for Evaluating Both Correctness and Thoroughness
- NeurIPS 2025Caption This, Reason That: VLMs Caught in the Middle
- NeurIPS 2025CAS-Spec: Cascade Adaptive Self-Speculative Decoding for On-the-Fly Lossless Inference Acceleration of LLMs
- NeurIPS 2025Cascaded Language Models for Cost-Effective Human–AI Decision-Making
- NeurIPS 2025CAT: Circular-Convolutional Attention for Sub-Quadratic Transformers
- NeurIPS 2025CAT: Content-Adaptive Image Tokenization
- NeurIPS 2025Causal Head Gating: A Framework for Interpreting Roles of Attention Heads in Transformers
- NeurIPS 2025Causal-R: A Causal-Reasoning Geometry Problem Solver for Optimized Solution Exploration
- NeurIPS 2025Causality Meets the Table: Debiasing LLMs for Faithful TableQA via Front-Door Intervention
- NeurIPS 2025CausalVTG: Towards Robust Video Temporal Grounding via Causal Inference
- NeurIPS 2025CellVerse: Do Large Language Models Really Understand Cell Biology?
- NeurIPS 2025CF-VLM：CounterFactual Vision-Language Fine-tuning
- NeurIPS 2025CG-SSL: Concept-Guided Self-Supervised Learning
- NeurIPS 2025ChA-MAEViT: Unifying Channel-Aware Masked Autoencoders and Multi-Channel Vision Transformers for Improved Cross-Channel Learning
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。