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

11,207 papers, page 213 of 225

10601. ICLR 2023SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations
10602. ICLR 2023Sequential Learning of Neural Networks for Prequential MDL
10603. ICLR 2023Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
10604. ICLR 2023Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus
10605. ICLR 2023StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training
10606. ICLR 2023Temporal Coherent Test Time Optimization for Robust Video Classification
10607. ICLR 2023That Label's got Style: Handling Label Style Bias for Uncertain Image Segmentation
10608. ICLR 2023The Lie Derivative for Measuring Learned Equivariance
10609. ICLR 2023The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation
10610. ICLR 2023This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers
10611. ICLR 2023TranSpeech: Speech-to-Speech Translation With Bilateral Perturbation
10612. ICLR 2023Understanding Zero-shot Adversarial Robustness for Large-Scale Models
10613. ICLR 2023Unicom: Universal and Compact Representation Learning for Image Retrieval
10614. ICLR 2023Unified Discrete Diffusion for Simultaneous Vision-Language Generation
10615. ICLR 2023UNIFIED-IO: A Unified Model for Vision, Language, and Multi-modal Tasks
10616. ICLR 2023Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval
10617. ICLR 2023Using Language to Extend to Unseen Domains
10618. ICLR 2023Valid P-Value for Deep Learning-driven Salient Region
10619. ICLR 2023Verifying the Union of Manifolds Hypothesis for Image Data
10620. ICLR 2023ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency
10621. ICLR 2023Vision Transformer Adapter for Dense Predictions
10622. ICLR 2023Visual Classification via Description from Large Language Models
10623. ICLR 2023Visual Recognition with Deep Nearest Centroids
10624. ICLR 2023Visually-Augmented Language Modeling
10625. ICLR 2023VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis
10626. ICLR 2023What Do Self-Supervised Vision Transformers Learn?
10627. ICLR 2023When and Why Vision-Language Models Behave like Bags-Of-Words, and What to Do About It?
10628. ICLR 2023Write and Paint: Generative Vision-Language Models are Unified Modal Learners
10629. ICML 2023$\pi$-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation
10630. ICML 2023$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates
10631. ICML 2023A Closer Look at Self-Supervised Lightweight Vision Transformers
10632. ICML 2023A Watermark for Large Language Models
10633. ICML 2023Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems
10634. ICML 2023Approximate Stein Classes for Truncated Density Estimation
10635. ICML 2023Approximately Optimal Core Shapes for Tensor Decompositions
10636. ICML 2023Approximation Algorithms for Fair Range Clustering
10637. ICML 2023Are Large Kernels Better Teachers than Transformers for ConvNets?
10638. ICML 2023Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models
10639. ICML 2023Bag of Tricks for Training Data Extraction from Language Models
10640. ICML 2023BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning
10641. ICML 2023BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
10642. ICML 2023BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models
10643. ICML 2023Calibrating Multimodal Learning
10644. ICML 2023Can Forward Gradient Match Backpropagation?
10645. ICML 2023ClimaX: A foundation model for weather and climate
10646. ICML 2023CLUSTSEG: Clustering for Universal Segmentation
10647. ICML 2023CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks
10648. ICML 2023COLA: Orchestrating Error Coding and Learning for Robust Neural Network Inference Against Hardware Defects
10649. ICML 2023Concept-based Explanations for Out-of-Distribution Detectors
10650. ICML 2023Cones: Concept Neurons in Diffusion Models for Customized Generation

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.