多模态大模型论文趋势 2023–2026

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。

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 1,051 篇，第 10 / 22 页

451. ICML 2026Large Language Model Teaches Visual Students: Cross-Modality Transfer of Fine-Grained Conceptual Knowledge
452. ICML 2026Large Language Models as Topological Thinkers: A Benchmark on Graph Persistent Homology
453. ICML 2026Large Vision-Language Models Get Lost in Attention
454. ICML 2026LAST: Bridging Vision-Language and Action Manifolds via Gromov-Wasserstein Alignment
455. ICML 2026LaST$_{0}$: Latent Spatio-Temporal Chain-of-Thought for Robotic Vision-Language-Action Model
456. ICML 2026Latent Reasoning VLA: Latent Thinking and Prediction for Vision-Language-Action Models
457. ICML 2026LatentLens: Revealing Highly Interpretable Visual Tokens in LLMs
458. ICML 2026LATMiX: Learnable Affine Transformations for Microscaling Quantization of LLMs
459. ICML 2026LaTtE-Flow: Layerwise Timestep-Expert Flow-based Transformer
460. ICML 2026LAVA: A Unified Framework for Finetuning Language and Vision Models
461. ICML 2026Lavida-R1: Advancing Reasoning for Unified Multimodal Diffusion Language Models
462. ICML 2026Layer-Centric Factors of Variation Disentanglement for Task- and Model-Agnostic Generalization
463. ICML 2026LC-QAT: Data-Efficient 2-Bit QAT for LLMs via Linear-Constrained Vector Quantization
464. ICML 2026Leak@$k$: Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding
465. ICML 2026Learn to Think: Improving Multimodal Reasoning through Vision-Aware Self-Improvement Training
466. ICML 2026Learning a Zeroth-Order Optimizer for Fine-Tuning LLMs
467. ICML 2026Learning from Fine-Grained Visual Discrepancies: Mitigating Multimodal Hallucinations via In-Context Visual Contrastive Optimization
468. ICML 2026Learning GUI Grounding with Spatial Reasoning from Visual Feedback
469. ICML 2026Learning More from Less: Unlocking Internal Representations for Benchmark Compression
470. ICML 2026Learning Rewrite-Invariant Reasoning with Targeted Alternation Training
471. ICML 2026Learning Self-Correction in Vision–Language Models via Rollout Augmentation
472. ICML 2026Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models
473. ICML 2026Learning the Neighborhood: Contrast-Free Multimodal Self-Supervised Molecular Graph Pretraining
474. ICML 2026Learning to Decode Against Compositional Hallucination in Video Multimodal Large Language Models
475. ICML 2026Learning to Memorize with Attributive and Associative Memory for Online Test-Time Adaptation of Vision-Language Models
476. ICML 2026Learning to Move Before Learning to Do: Task-Agnostic pretraining for VLAs
477. ICML 2026Learning When to Attend: Conditional Memory Access for Long-Context LLMs
478. ICML 2026Learning with Admissibility: Robust Fuzzy Hashing for Cross-Modal Retrieval with Noisy Labels
479. ICML 2026Left–Right Symmetry Breaking in CLIP-Style Vision-Language Models Trained on Synthetic Spatial-Relation Data
480. ICML 2026Less Is More in Federated Continual Learning: RieSelect for Conflict-Aware Layer Selection in LLMs
481. ICML 2026Less is More: Geometric Unlearning for LLMs with Minimal Data Disclosure
482. ICML 2026Less Precise Can Be More Reliable: A Systematic Evaluation of Quantization’s Impact on VLMs Beyond Accuracy
483. ICML 2026Let Language Constrain Geometry: Vision–Language Models as Semantic and Spatial Critics for 3D Generation
484. ICML 2026Leveraging Evidence Priors for Robust Prompt Learning under Noisy Supervision in Vision-Language Models
485. ICML 2026LFQ: Logit-aware Final-block Quantization for Boosting the Generation Quality of Low-Bit Quantized LLMs
486. ICML 2026LIFT: A Novel Framework for Enhancing Long-Context Understanding of LLMs via Long Input Fine-Tuning
487. ICML 2026LiME: Lightweight Mixture of Experts for Efficient Multimodal Multi-task Learning
488. ICML 2026LIMSSR: LLM-Driven Sequence-to-Score Reasoning under Training-Time Incomplete Multimodal Observations
489. ICML 2026Linear Ensembles Wash Away Watermarks: On the Fragility of Distributional Perturbations in LLMs
490. ICML 2026Linearizing Vision Transformer with Test-Time Training
491. ICML 2026Linguistic Relative Policy Optimization for Video Anomaly Reasoning
492. ICML 2026LittleBit-2: Maximizing the Spectral Energy Gain in Sub-1-Bit LLMs via Latent Geometry Alignment
493. ICML 2026LiveFigure: Generating Editable Scientific Illustration with VLM Agents
494. ICML 2026LLM-Guided Diagnostic Evidence Alignment for Medical Vision–Language Pretraining under Limited Pairing
495. ICML 2026LLM4Branch: Large Language Model for Discovering Efficient Branching Policies of Integer Programs
496. ICML 2026LLMInertia: Adaptive Counter-Inertial Reasoning to Improve Evidence Faithfulness in Large Language Models
497. ICML 2026LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws
498. ICML 2026LLMs Lean on Priors, Not Programming Language Semantics
499. ICML 2026LMM4-IC4K: A Large Multimodal Model Powered Integrated Circuit Footprint Geometry Understanding
500. ICML 2026Local Linearity of LLMs Enables Activation Steering via Model-Based Linear Optimal Control

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。