Multimodal LLMs papers, 2023–2026

Key findings

• Multimodal LLMs went from 1,226 papers in 2023 to 5,192 in 2026, roughly 4.2x in three years.
• NeurIPS publishes the most Multimodal LLMs work: 3,319 papers from 2023 to 2026, 30% of the four-venue total.
• The fastest-growing overlap is with Applications · computer vision: papers tagged with both rose from 35 in 2023 to 596 in 2026.
• Among the 4 topics under Trending Systems, it ranks #1 by 2026 paper count; the fastest grower in the group, AI Agents, is up 12x versus 4.2x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Multimodal LLMs papers

138 papers, page 1 of 3

1. ICLR 20233D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation
2. ICLR 2023A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification
3. ICLR 2023A General Rank Preserving Framework for Asymmetric Image Retrieval
4. ICLR 2023A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation
5. ICLR 2023A Neural Mean Embedding Approach for Back-door and Front-door Adjustment
6. ICLR 2023A Primal-Dual Framework for Transformers and Neural Networks
7. ICLR 2023Accurate Image Restoration with Attention Retractable Transformer
8. ICLR 2023Achieve the Minimum Width of Neural Networks for Universal Approximation
9. ICLR 2023Active Learning for Object Detection with Evidential Deep Learning and Hierarchical Uncertainty Aggregation
10. ICLR 2023AIM: Adapting Image Models for Efficient Video Action Recognition
11. ICLR 2023Almost Linear Constant-Factor Sketching for $\ell_1$ and Logistic Regression
12. ICLR 2023Ask Me Anything: A simple strategy for prompting language models
13. ICLR 2023Basic Binary Convolution Unit for Binarized Image Restoration Network
14. ICLR 2023Boosting Adversarial Transferability using Dynamic Cues
15. ICLR 2023Budgeted Training for Vision Transformer
16. ICLR 2023Can CNNs Be More Robust Than Transformers?
17. ICLR 2023ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length
18. ICLR 2023CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks
19. ICLR 2023CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Alignment
20. ICLR 2023CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
21. ICLR 2023Complexity-Based Prompting for Multi-step Reasoning
22. ICLR 2023Composing Ensembles of Pre-trained Models via Iterative Consensus
23. ICLR 2023Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection
24. ICLR 2023Conditional Positional Encodings for Vision Transformers
25. ICLR 2023Contextual Convolutional Networks
26. ICLR 2023Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual Pretraining
27. ICLR 2023Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning
28. ICLR 2023Corrupted Image Modeling for Self-Supervised Visual Pre-Training
29. ICLR 2023Cross-Layer Retrospective Retrieving via Layer Attention
30. ICLR 2023Decomposed Prompting: A Modular Approach for Solving Complex Tasks
31. ICLR 2023Diagnosing and Rectifying Vision Models using Language
32. ICLR 2023DINO as a von Mises-Fisher mixture model
33. ICLR 2023Discovering Informative and Robust Positives for Video Domain Adaptation
34. ICLR 2023DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training
35. ICLR 2023Dual Student Networks for Data-Free Model Stealing
36. ICLR 2023Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning
37. ICLR 2023Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis
38. ICLR 2023Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement
39. ICLR 2023Energy-Inspired Self-Supervised Pretraining for Vision Models
40. ICLR 2023Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification
41. ICLR 2023Exploring Temporally Dynamic Data Augmentation for Video Recognition
42. ICLR 2023Faster Gradient-Free Methods for Escaping Saddle Points
43. ICLR 2023Fundamental limits on the robustness of image classifiers
44. ICLR 2023GAMR: A Guided Attention Model for (visual) Reasoning
45. ICLR 2023Generalization and Estimation Error Bounds for Model-based Neural Networks
46. ICLR 2023Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses
47. ICLR 2023GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation
48. ICLR 2023HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention
49. ICLR 2023HiViT: A Simpler and More Efficient Design of Hierarchical Vision Transformer
50. ICLR 2023Human MotionFormer: Transferring Human Motions with Vision Transformers

FAQ

How many Multimodal LLMs papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

11,209 in total: 1,226 in 2023, 1,716 in 2024, 3,075 in 2025, 5,192 in 2026.

How many Multimodal LLMs papers are at NeurIPS 2026?

NeurIPS 2026 has 1,366 Multimodal LLMs papers, versus 1,074 the year before.

How many Multimodal LLMs papers are at ICLR 2026?

ICLR 2026 has 1,401 Multimodal LLMs papers, versus 816 the year before.

How many Multimodal LLMs papers are at ICML 2026?

ICML 2026 has 1,051 Multimodal LLMs papers, versus 390 the year before.

How many Multimodal LLMs papers are at CVPR 2026?

CVPR 2026 has 1,374 Multimodal LLMs papers, versus 795 the year before.

Which conference publishes the most Multimodal LLMs papers?

NeurIPS, with 3,319 papers from 2023 to 2026.