Multimodal LLMs papers, 2023–2026
Vision-language models and multimodal foundation models for image and video
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 11,209 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 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 |
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
816 papers, page 15 of 17
- ICLR 2025The Labyrinth of Links: Navigating the Associative Maze of Multi-modal LLMs
- ICLR 2025The Rise and Down of Babel Tower: Investigating the Evolution Process of Multilingual Code Large Language Model
- ICLR 2025The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities
- ICLR 2025The Unreasonable Ineffectiveness of the Deeper Layers
- ICLR 2025Theory, Analysis, and Best Practices for Sigmoid Self-Attention
- ICLR 2025ThinK: Thinner Key Cache by Query-Driven Pruning
- ICLR 2025TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention
- ICLR 2025TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models
- ICLR 2025Tight Clusters Make Specialized Experts
- ICLR 2025Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
- ICLR 2025Time-to-Event Pretraining for 3D Medical Imaging
- ICLR 2025TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning
- ICLR 2025TIPS: Text-Image Pretraining with Spatial awareness
- ICLR 2025TLDR: Token-Level Detective Reward Model for Large Vision Language Models
- ICLR 2025To Code or Not To Code? Exploring Impact of Code in Pre-training
- ICLR 2025TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
- ICLR 2025TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models
- ICLR 2025Topograph: An Efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation
- ICLR 2025ToVE: Efficient Vision-Language Learning via Knowledge Transfer from Vision Experts
- ICLR 2025Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment
- ICLR 2025Towards Effective Evaluations and Comparisons for LLM Unlearning Methods
- ICLR 2025Towards Interpreting Visual Information Processing in Vision-Language Models
- ICLR 2025Towards Neural Scaling Laws for Time Series Foundation Models
- ICLR 2025Towards Realistic UAV Vision-Language Navigation: Platform, Benchmark, and Methodology
- ICLR 2025Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs
- ICLR 2025Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization
- ICLR 2025Towards Semantic Equivalence of Tokenization in Multimodal LLM
- ICLR 2025TRACE: Temporal Grounding Video LLM via Causal Event Modeling
- ICLR 2025TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies
- ICLR 2025Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images
- ICLR 2025Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models
- ICLR 2025Training Language Models on Synthetic Edit Sequences Improves Code Synthesis
- ICLR 2025Training on the Test Task Confounds Evaluation and Emergence
- ICLR 2025Training-Free Activation Sparsity in Large Language Models
- ICLR 2025Training-Free Diffusion Model Alignment with Sampling Demons
- ICLR 2025Transformer Block Coupling and its Correlation with Generalization in LLMs
- ICLR 2025Transformer Meets Twicing: Harnessing Unattended Residual Information
- ICLR 2025Transformer-Squared: Self-adaptive LLMs
- ICLR 2025Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
- ICLR 2025Tree of Attributes Prompt Learning for Vision-Language Models
- ICLR 2025TULIP: Token-length Upgraded CLIP
- ICLR 2025Turning Up the Heat: Min-p Sampling for Creative and Coherent LLM Outputs
- ICLR 2025Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models
- ICLR 2025TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking
- ICLR 2025u-$\mu$P: The Unit-Scaled Maximal Update Parametrization
- ICLR 2025U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models
- ICLR 2025Ultra-Sparse Memory Network
- ICLR 2025Uncertainty-Aware Decoding with Minimum Bayes Risk
- ICLR 2025Uncovering Latent Memories in Large Language Models
- ICLR 2025Uncovering Overfitting in Large Language Model Editing
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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.