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 11,207 篇，第 44 / 225 页
- ICLR 2026NC-Bench and NCfold: A Benchmark and Closed-Loop Framework for RNA Non-Canonical Base-Pair Prediction
- ICLR 2026Near-Optimal Online Deployment and Routing for Streaming LLMs
- ICLR 2026Neologism Learning for Controllability and Self-Verbalization
- ICLR 2026NePTune: A Neuro-Pythonic Framework for Tunable Compositional Reasoning on Vision-Language
- ICLR 2026NerVE: Nonlinear Eigenspectrum Dynamics in LLM Feed-Forward Networks
- ICLR 2026Neural Message-Passing on Attention Graphs for Hallucination Detection
- ICLR 2026Neuron-Aware Data Selection in Instruction Tuning for Large Language Models
- ICLR 2026New Hybrid Fine-Tuning Paradigm for LLMs: Algorithm Design and Convergence Analysis Framework
- ICLR 2026NExT-OMNI: Towards Any-to-Any Omnimodal Foundation Models with Discrete Flow Matching
- ICLR 2026Next-ToBE: Probabilistic Next Token-Bag Exploitation for Activating Anticipatory Capacity in LLMs
- ICLR 2026NLI : Non-uniform Linear Interpolation Approximation of Nonlinear Operations for Efficient LLMs Inference
- ICLR 2026No Caption, No Problem: Caption-Free Membership Inference via Model-Fitted Embeddings
- ICLR 2026No Labels, No Problem: Training Visual Reasoners with Multimodal Verifiers
- ICLR 2026No outlier channels but with outlier blocks
- ICLR 2026No Pixel Left Behind: A Detail-Preserving Architecture for Robust High-Resolution AI-Generated Image Detection
- ICLR 2026Noise Stability of Transformer Models
- ICLR 2026Noisy but Valid: Robust Statistical Evaluation of LLMs with Imperfect Judges
- ICLR 2026Nonparametric Teaching of Attention Learners
- ICLR 2026Not All Documents Are What You Need for Extracting Instruction Tuning Data
- ICLR 2026Not Search, But Scan: Benchmarking MLLMs on Scan-Oriented Academic Paper Reasoning
- ICLR 2026Not-a-Bandit: Provably No-Regret Drafter Selection in Speculative Decoding for LLMs
- ICLR 2026Nüwa: Mending the Spatial Integrity Torn by VLM Token Pruning
- ICLR 2026Object-Centric Refinement for Enhanced Zero-Shot Segmentation
- ICLR 2026OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image Reasoning
- ICLR 2026Off-Trajectory Reasoning: Can LLMs Collaborate on Reasoning Trajectory?
- ICLR 2026Omni-Captioner: Data Pipeline, Models, and Benchmark for Omni Detailed Perception
- ICLR 2026Omni-IML: Towards Unified Interpretable Image Manipulation Localization
- ICLR 2026Omni-View: Unlocking How Generation Facilitates Understanding in Unified 3D Model based on Multiview images
- ICLR 2026Omni-Weather: Unified Multimodal Foundation Model for Weather Generation and Understanding
- ICLR 2026OmniActor: A Generalist GUI and Embodied Agent for 2D&3D Worlds
- ICLR 2026OmniCT: Towards a Unified Slice-Volume LVLM for Comprehensive CT Analysis
- ICLR 2026OmniCVR: A Benchmark for Omni-Composed Video Retrieval with Vision, Audio, and Text
- ICLR 2026OmniEVA: Embodied Versatile Planner via Task-Adaptive 3D-Grounded and Embodiment-aware Reasoning
- ICLR 2026OmniField: Conditioned Neural Fields for Robust Multimodal Spatiotemporal Learning
- ICLR 2026OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens
- ICLR 2026OmniSpatial: Towards Comprehensive Spatial Reasoning Benchmark for Vision Language Models
- ICLR 2026OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs
- ICLR 2026OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM
- ICLR 2026On Code-Induced Reasoning in LLMs
- ICLR 2026On Discriminative vs. Generative classifiers: Rethinking MLLMs for Action Understanding
- ICLR 2026On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations
- ICLR 2026On the Eligibility of LLMs for Counterfactual Reasoning: A Decompositional Study
- ICLR 2026On the Generalization Capacities of MLLMs for Spatial Intelligence
- ICLR 2026On the Shelf Life of Finetuned LLM-Judges: Future Proofing, Backward Compatibility, and Question Generalization
- ICLR 2026On the Thinking-Language Modeling Gap in Large Language Models
- ICLR 2026On the Wings of Imagination: Conflicting Script-based Multi-role Framework for Humor Caption Generation
- ICLR 2026On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMs
- ICLR 2026Once-More: Continuous Self-Correction for Large Language Models via Perplexity-Guided Intervention
- ICLR 2026One Demo Is All It Takes: Planning Domain Derivation with LLMs from A Single Demonstration
- ICLR 2026One Patch Doesn’t Fit All: Adaptive Patching for Native-Resolution Multimodal Large Language Models
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。