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

每年论文数

各会议论文数

按年份和会议统计

多模态大模型论文数,按年份和会议
年份NeurIPSICLRICMLCVPR合计
20234331381465091,226
20244463213236261,716
20251,0748163907953,075
20261,3661,4011,0511,3745,192

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

全部多模态大模型论文

共 1,051 篇,第 3 / 22 页

  1. ICML 2026BFCL Audio: An Audio Function Calling Evaluation for Large Language Models
  2. ICML 2026Bimodal masked language modeling for bulk RNA-seq and DNA methylation representation learning
  3. ICML 2026Bioacoustic Geolocation: Species Sounds as Geographic Signals
  4. ICML 2026BioProBench: A Corpus and Benchmark for Biological Protocol Reasoning in Autonomous Science
  5. ICML 2026BiRQA: Bidirectional Robust Quality Assessment for Images
  6. ICML 2026BizFinBench.v2: Towards Reliable LLMs in Finance via Real-User Data and Offline/Online Bilingual Evaluation
  7. ICML 2026Block Rotation is All You Need for MXFP4 Quantization
  8. ICML 2026BrainJanus: A Unified Model for Understanding and Generation across Brain, Vision, and Language
  9. ICML 2026Breaking Dual Bottlenecks: Evolving Unified Multimodal Models into Self-Adaptive Interleaved Visual Reasoners
  10. ICML 2026BRIDGE: Triangular Fixed-Point Refinement for Long-Horizon Persona Consistency
  11. ICML 2026Bridging On-Device and Cloud LLMs for Collaborative Reasoning: A Unified Methodology for Local Routing and Post-Training
  12. ICML 2026Bridging the Grounding Gap in VideoQA via Typed Memory for Language-based Belief-State Reasoning
  13. ICML 2026Bridging the Knowledge-Prediction Gap in LLMs on Multiple-Choice Questions
  14. ICML 2026Bridging the Perceptual Gap: Residual-Enhanced Downscaling and Manifold-Aware Perception Alignment Adaptation for NR-IQA
  15. ICML 2026Bring My Cup! Personalizing Vision-Language-Action Models with Visual Attentive Prompting
  16. ICML 2026BVS: Bayesian Visual Search with Multimodal Large Language Model for Fine-grained Perception
  17. ICML 2026BYORn: Bootstrap Your Own Responses to Defend Large Vision-Language Models Against Backdoor Attacks
  18. ICML 2026CACR: Reinforcing Temporal Answer Grounding in Instructional Video via Candidate-Aware Causal Reasoning
  19. ICML 2026Calibrated Multimodal Representation Learning with Missing Modalities
  20. ICML 2026CAMP: Coherent Alignment of Multimodal Prototypes for Explainable Complementary Learning
  21. ICML 2026Can LLMs Reason Structurally? Benchmarking via the lens of Data Structures
  22. ICML 2026Can VLMs Diagnose and Recover from VLA Manipulation Faults?
  23. ICML 2026Can We Build a Monolithic Model for Fake Image Detection? SICA: Semantic-Induced Constrained Adaptation for Unified-Yet-Discriminative Artifact Feature Space Reconstruction
  24. ICML 2026CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation
  25. ICML 2026Capacity without Access: Reinterpreting the Mid-Depth Spectral Plateau in LLMs
  26. ICML 2026CAPTCHA Solving for Native GUI Agents: Automated Reasoning-Action Data Generation and Self-Corrective Training
  27. ICML 2026Capturing Gaze Shifts for Guidance: Cross-Modal Fusion Enhancement for VLM Hallucination Mitigation
  28. ICML 2026CARE: Class-Adaptive Expert Consensus for Reliable Learning with Long-Tailed Noisy Labels
  29. ICML 2026CAST: Modeling Visual State Transitions for Consistent Video Retrieval
  30. ICML 2026CAT-Q: Cost-efficient and Accurate Ternary Quantization for LLMs
  31. ICML 2026CausalX: A Unified and Causally-Interpretable Plug-and-Play Model for Multi-modal Spatio-Temporal Forecasting
  32. ICML 2026CauSciBench: Can LLMs Automate Causal Inference in Real-World Scientific Research?
  33. ICML 2026CBV: Clean-label Backdoor Attacks on Vision Language Models via Diffusion Models
  34. ICML 2026Cello: A Universal Cell-wise Feature Aggregation framework for Reliable Pathology Images Analysis
  35. ICML 2026Certified Robustness under Heterogeneous Perturbations via Hybrid Randomized Smoothing
  36. ICML 2026CFPO: Counterfactual Policy Optimization for Multimodal Reasoning
  37. ICML 2026CG-MLLM: Captioning and Generating 3D content via Multi-modal Large Language Models
  38. ICML 2026Characterizing Vision-Language-Action Models across XPUs: Constraints and Acceleration for On-Robot Deployment
  39. ICML 2026ChartE$^{3}$: A Comprehensive Benchmark for End-to-End Chart Editing
  40. ICML 2026Circle-RoPE: Cone-like Decoupled Rotary Positional Embedding for Vision-Language Models
  41. ICML 2026CLEAR: Context-Aware Learning with End-to-End Mask-Free Inference for Adaptive Video Subtitle Removal
  42. ICML 2026CLIP Tricks You: Training-free Token Pruning for Efficient Pixel Grounding in Large Vision-Language Models
  43. ICML 2026CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction
  44. ICML 2026cMoLLM at Scale: Horizontal Scaling Laws for Convolutionally-Gated Mixture-of-LLMs
  45. ICML 2026Code2Video: A Code-centric Paradigm for Educational Video Creation
  46. ICML 2026Code2Worlds: Empowering Coding LLMs for 4D World Generation
  47. ICML 2026COFT: Counterfactual–Conformal Decoding for Fair Chain‑of‑Thought Reasoning in Large Language Models
  48. ICML 2026CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection
  49. ICML 2026CoLA: Cross-Modal Low-rank Adaptation for Multimodal Downstream Tasks
  50. ICML 2026Coloring the Noise: Adversarial Sobolev Alignment for Faithful Image Super Resolution

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"}

两分钟接入 Paperlist MCP(Claude Code、Cursor、Codex、ChatGPT)

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。

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