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

1,910 papers, page 32 of 39

1551. ICML 2024Gambling-Based Confidence Sequences for Bounded Random Vectors
1552. ICML 2024GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer
1553. ICML 2024Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis
1554. ICML 2024Generalized Neural Collapse for a Large Number of Classes
1555. ICML 2024Generalizing Orthogonalization for Models with Non-Linearities
1556. ICML 2024Generating Chain-of-Thoughts with a Pairwise-Comparison Approach to Searching for the Most Promising Intermediate Thought
1557. ICML 2024Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design
1558. ICML 2024GeoReasoner: Geo-localization with Reasoning in Street Views using a Large Vision-Language Model
1559. ICML 2024GPT-4V(ision) is a Generalist Web Agent, if Grounded
1560. ICML 2024Gradient-based Visual Explanation for Transformer-based CLIP
1561. ICML 2024Graph-enhanced Large Language Models in Asynchronous Plan Reasoning
1562. ICML 2024Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation
1563. ICML 2024HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding
1564. ICML 2024Harmonizing Generalization and Personalization in Federated Prompt Learning
1565. ICML 2024Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning
1566. ICML 2024High-Order Contrastive Learning with Fine-grained Comparative Levels for Sparse Ordinal Tensor Completion
1567. ICML 2024How Flawed Is ECE? An Analysis via Logit Smoothing
1568. ICML 2024Image Fusion via Vision-Language Model
1569. ICML 2024Image Hijacks: Adversarial Images can Control Generative Models at Runtime
1570. ICML 2024Implicit meta-learning may lead language models to trust more reliable sources
1571. ICML 2024Implicit Representations for Constrained Image Segmentation
1572. ICML 2024Improving Context Understanding in Multimodal Large Language Models via Multimodal Composition Learning
1573. ICML 2024Improving Factuality and Reasoning in Language Models through Multiagent Debate
1574. ICML 2024Improving fine-grained understanding in image-text pre-training
1575. ICML 2024Improving Interpretation Faithfulness for Vision Transformers
1576. ICML 2024In-Context Principle Learning from Mistakes
1577. ICML 2024Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment
1578. ICML 2024Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics
1579. ICML 2024Interpretable Deep Clustering for Tabular Data
1580. ICML 2024IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics
1581. ICML 2024Junk DNA Hypothesis: Pruning Small Pre-Trained Weights $\textit{Irreversibly}$ and $\textit{Monotonically}$ Impairs ``Difficult" Downstream Tasks in LLMs
1582. ICML 2024KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
1583. ICML 2024KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning
1584. ICML 2024Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models
1585. ICML 2024Language Models Represent Beliefs of Self and Others
1586. ICML 2024Language Models with Conformal Factuality Guarantees
1587. ICML 2024Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition
1588. ICML 2024Large Language Models are Geographically Biased
1589. ICML 2024Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning
1590. ICML 2024Latent Logic Tree Extraction for Event Sequence Explanation from LLMs
1591. ICML 2024Latent variable model for high-dimensional point process with structured missingness
1592. ICML 2024LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions
1593. ICML 2024Learning Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking
1594. ICML 2024Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
1595. ICML 2024Learning Pseudo-Contractive Denoisers for Inverse Problems
1596. ICML 2024Learning to Explore in POMDPs with Informational Rewards
1597. ICML 2024Learning to Scale Logits for Temperature-Conditional GFlowNets
1598. ICML 2024Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency
1599. ICML 2024LESS: Selecting Influential Data for Targeted Instruction Tuning
1600. ICML 2024Let Go of Your Labels with Unsupervised Transfer

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.