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 2 / 67 页
- NeurIPS 2026AdShot: Benchmarking Multimodal Large Language Models for Video Advertisement Clipping
- NeurIPS 2026Advancing Affordance-Grounded Creative Tool Use in Large Multimodal Models
- NeurIPS 2026Advancing Narrative Long Video Generation via Training-Free Identity-Aware Memory
- NeurIPS 2026AeroMosaic:Transport-Aware Multimodal Evidence Fusion for Atmospheric Pollution Risk Inference
- NeurIPS 2026AesGI-Bench: Benchmarking and Evaluating the Aesthetic Quality of AI-Generated Images via Large Multimodal Models
- NeurIPS 2026Affine-Image Propagation for Tight and Scalable $\ell_{2}$ Neural Network Verification
- NeurIPS 2026AffordSim: A Scalable Data Generator and Benchmark for Affordance-Aware Robotic Manipulation
- NeurIPS 2026Agent Explorative Policy Optimization for Agentic Multimodal Reasoning
- NeurIPS 2026Agentick: A Unified Benchmark for General Sequential Decision-Making Agents
- NeurIPS 2026AgenticVBench: Can AI Agents Complete Real-World Video Production Tasks?
- NeurIPS 2026Agents as Neuro-Symbolic Reasoners: Path Feasibility Reasoning for Precise Static Bug Detection
- NeurIPS 2026AgentVista: Evaluating Multimodal Agent in Ultra-Challenging Realistic Visual Scenarios
- NeurIPS 2026Agree to Disagree: Multimodal Autonomous Negotiation and Calibration for Entity Representation Learning
- NeurIPS 2026AgroOmni: A Large-Scale Multi-view Agricultural Dataset for Cross-Scale Multimodal Reasoning
- NeurIPS 2026AIM: Adaptive Interaction in Multi-Agent Debate for Multimodal LLM Inference
- NeurIPS 2026AIR: Rethinking Image-Text Offset Alignment in Multimodal Contrastive Representation Space
- NeurIPS 2026AirIAD: Agentic Iterative Reasoning for Industrial Anomaly Detection
- NeurIPS 2026ALAM: Algebraically Consistent Latent Transitions for Vision-Language-Action Models
- NeurIPS 2026Algorithm for Contextual Queueing Bandits with Rate-Optimal Queue Length Regret
- NeurIPS 2026Aligning Forest and Trees in Images & Long Captions for Visually Grounded Understanding
- NeurIPS 2026Aligning LLMs Toward Multi-Turn Conversational Outcomes Using Iterative RLHF
- NeurIPS 2026Aligning LLMs with Biomedical Knowledge using Balanced Fine-Tuning
- NeurIPS 2026Allocentric Perceiver: Disentangling Allocentric Reasoning from Egocentric Visual Priors via Frame Instantiation
- NeurIPS 2026ALTER: An Allen's Algebra-Based Evaluation Framework for Temporal Reasoning of LLMs
- NeurIPS 2026AMARIS: Merging Generalist and Specialist LLMs via Adaptive Subspace Inheritance
- NeurIPS 2026AmbientFM: A Foundation Model for Ambient Sensing
- NeurIPS 2026AmbiguousWorld: Benchmarking and Resolving Ambiguous Instructions in Video World Models
- NeurIPS 2026An Efficient Cross-modal Feature Reconstruction Model for Multimodal Multi-class Anomaly Detection
- NeurIPS 2026An Open-Source Training Dataset for Foundation Models for Black-box Optimization
- NeurIPS 2026Anatomy-Activated Mixture-of-Experts for 3D Medical Vision-Language Pre-training
- NeurIPS 2026Anatomy-aware Spatio-Temporal Modeling for Echocardiography Segmentation
- NeurIPS 2026AnchorRep: Defending LLMs Against Cross-Model Adversarial Transfer via Representation Repulsion
- NeurIPS 2026Angular Networks: Low-Bit Learning from Randomized Similarity Estimators
- NeurIPS 2026Animation2Code: Evaluating Temporal Visual Reasoning in Video-to-Code Generation
- NeurIPS 2026Anti-Self-Distillation for Reasoning RL via Pointwise Mutual Information
- NeurIPS 2026APIVOT: Adaptive Planning with Interleaved Vision-Language Thoughts
- NeurIPS 2026Apple-$\pi$: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence
- NeurIPS 2026Approaching Effective Merging in Model Embedding Space
- NeurIPS 2026Approximate Bayesian inference with exchangeable distributions for neurosymbolic AI
- NeurIPS 2026Approximation Algorithms for GPU Pricing under Finite Capacity
- NeurIPS 2026Are Multimodal Benchmarks Really Useful? Item-Level Multimodal Benchmark Diagnosis via Structure-Response Co-Calibration
- NeurIPS 2026Are Text-to-Image Models Inductivist Turkeys? A Counterfactual Benchmark for Causal Reasoning
- NeurIPS 2026Are We Making Progress in Multimodal Domain Generalization? A Comprehensive Benchmark Study
- NeurIPS 2026Arena-T2I Hard: Benchmarking and Improving Faithfulness with Dependency-Aware Checklist Rewards
- NeurIPS 2026Argus: A Cross-Regime Benchmark for the Transferability of Uncertainty Quantification in Computer-Use Agents
- NeurIPS 2026ARK: A Dual-Axis Multimodal Retrieval Benchmark along Reasoning and Knowledge
- NeurIPS 2026As the Story Unfolds: Watching a Film and Identifying Characters as a Human Does
- NeurIPS 2026ASAP: Assembly-Source Aligned Pseudocode Refinement For Binary Decompilation
- NeurIPS 2026ASAP: Attention Sink Anchored Pruning
- NeurIPS 2026ASTRA: ADMM-Accelerated Topology Reconfiguration for Dynamic Satellite Constellations
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。