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 190 of 225

9451. ICML 2024Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses
9452. ICML 2024Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models
9453. ICML 2024Prompt-based Visual Alignment for Zero-shot Policy Transfer
9454. ICML 2024Q-Probe: A Lightweight Approach to Reward Maximization for Language Models
9455. ICML 2024QuRating: Selecting High-Quality Data for Training Language Models
9456. ICML 2024Random features models: a way to study the success of naive imputation
9457. ICML 2024Randomized Confidence Bounds for Stochastic Partial Monitoring
9458. ICML 2024Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization
9459. ICML 2024Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion
9460. ICML 2024ReGAL: Refactoring Programs to Discover Generalizable Abstractions
9461. ICML 2024Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering
9462. ICML 2024ReLU Network with Width $d+\mathcal{O}(1)$ Can Achieve Optimal Approximation Rate
9463. ICML 2024ReLUs Are Sufficient for Learning Implicit Neural Representations
9464. ICML 2024REMEDI: Corrective Transformations for Improved Neural Entropy Estimation
9465. ICML 2024Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image Restoration
9466. ICML 2024Rethinking Optimization and Architecture for Tiny Language Models
9467. ICML 2024Retrieval Across Any Domains via Large-scale Pre-trained Model
9468. ICML 2024Revealing Vision-Language Integration in the Brain with Multimodal Networks
9469. ICML 2024Revisiting Context Aggregation for Image Matting
9470. ICML 2024Revisiting the Role of Language Priors in Vision-Language Models
9471. ICML 2024RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content
9472. ICML 2024RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
9473. ICML 2024RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis
9474. ICML 2024Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
9475. ICML 2024Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination
9476. ICML 2024Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models
9477. ICML 2024SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation
9478. ICML 2024Sample Complexity Bounds for Estimating Probability Divergences under Invariances
9479. ICML 2024Scalable Pre-training of Large Autoregressive Image Models
9480. ICML 2024SceneCraft: An LLM Agent for Synthesizing 3D Scenes as Blender Code
9481. ICML 2024Seesaw: Compensating for Nonlinear Reduction with Linear Computations for Private Inference
9482. ICML 2024SelfIE: Self-Interpretation of Large Language Model Embeddings
9483. ICML 2024SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks
9484. ICML 2024Slot Abstractors: Toward Scalable Abstract Visual Reasoning
9485. ICML 2024Soft Prompt Recovers Compressed LLMs, Transferably
9486. ICML 2024Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications
9487. ICML 2024Sparse-to-dense Multimodal Image Registration via Multi-Task Learning
9488. ICML 2024Spectral Preconditioning for Gradient Methods on Graded Non-convex Functions
9489. ICML 2024SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models
9490. ICML 2024SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN
9491. ICML 2024Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
9492. ICML 2024Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to $K$-Level Stochastic Optimizations
9493. ICML 2024Statistical Test for Attention Maps in Vision Transformers
9494. ICML 2024Stereographic Spherical Sliced Wasserstein Distances
9495. ICML 2024StrokeNUWA—Tokenizing Strokes for Vector Graphic Synthesis
9496. ICML 2024Structured Chemistry Reasoning with Large Language Models
9497. ICML 2024Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation
9498. ICML 2024SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment
9499. ICML 2024Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs
9500. ICML 2024Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains

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.