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 211 of 225

10501. ICLR 2023Almost Linear Constant-Factor Sketching for $\ell_1$ and Logistic Regression
10502. ICLR 2023Ask Me Anything: A simple strategy for prompting language models
10503. ICLR 2023Basic Binary Convolution Unit for Binarized Image Restoration Network
10504. ICLR 2023Boosting Adversarial Transferability using Dynamic Cues
10505. ICLR 2023Budgeted Training for Vision Transformer
10506. ICLR 2023Can CNNs Be More Robust Than Transformers?
10507. ICLR 2023ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length
10508. ICLR 2023CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks
10509. ICLR 2023CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Alignment
10510. ICLR 2023CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
10511. ICLR 2023Complexity-Based Prompting for Multi-step Reasoning
10512. ICLR 2023Composing Ensembles of Pre-trained Models via Iterative Consensus
10513. ICLR 2023Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection
10514. ICLR 2023Conditional Positional Encodings for Vision Transformers
10515. ICLR 2023Contextual Convolutional Networks
10516. ICLR 2023Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual Pretraining
10517. ICLR 2023Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning
10518. ICLR 2023Corrupted Image Modeling for Self-Supervised Visual Pre-Training
10519. ICLR 2023Cross-Layer Retrospective Retrieving via Layer Attention
10520. ICLR 2023Decomposed Prompting: A Modular Approach for Solving Complex Tasks
10521. ICLR 2023Diagnosing and Rectifying Vision Models using Language
10522. ICLR 2023DINO as a von Mises-Fisher mixture model
10523. ICLR 2023Discovering Informative and Robust Positives for Video Domain Adaptation
10524. ICLR 2023DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training
10525. ICLR 2023Dual Student Networks for Data-Free Model Stealing
10526. ICLR 2023Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning
10527. ICLR 2023Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis
10528. ICLR 2023Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement
10529. ICLR 2023Energy-Inspired Self-Supervised Pretraining for Vision Models
10530. ICLR 2023Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification
10531. ICLR 2023Exploring Temporally Dynamic Data Augmentation for Video Recognition
10532. ICLR 2023Faster Gradient-Free Methods for Escaping Saddle Points
10533. ICLR 2023Fundamental limits on the robustness of image classifiers
10534. ICLR 2023GAMR: A Guided Attention Model for (visual) Reasoning
10535. ICLR 2023Generalization and Estimation Error Bounds for Model-based Neural Networks
10536. ICLR 2023Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses
10537. ICLR 2023GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation
10538. ICLR 2023HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention
10539. ICLR 2023HiViT: A Simpler and More Efficient Design of Hierarchical Vision Transformer
10540. ICLR 2023Human MotionFormer: Transferring Human Motions with Vision Transformers
10541. ICLR 2023Identifiability Results for Multimodal Contrastive Learning
10542. ICLR 2023Image as Set of Points
10543. ICLR 2023Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction
10544. ICLR 2023Interactive Portrait Harmonization
10545. ICLR 2023ISAAC Newton: Input-based Approximate Curvature for Newton's Method
10546. ICLR 2023Iterative Patch Selection for High-Resolution Image Recognition
10547. ICLR 2023Knowledge Distillation based Degradation Estimation for Blind Super-Resolution
10548. ICLR 2023Large Language Models are Human-Level Prompt Engineers
10549. ICLR 2023Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations
10550. ICLR 2023Learning Iterative Neural Optimizers for Image Steganography

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.