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

1,366 papers, page 16 of 28

751. NeurIPS 2026Mirror, Mirror on the Wall: Can VLM Agents Tell Who They Are at All?
752. NeurIPS 2026MIRROR: Manifold Ideal Reference ReconstructOR for AI-Generated Image Detection
753. NeurIPS 2026Mission Impossible: Diagnosing and Fixing Non-Operative Instruction Following in Image Editing
754. NeurIPS 2026Mitigating Asymmetric Boundary Encroachment in Continual Learning of Vision-Language Models
755. NeurIPS 2026MITO: A Millimeter-Wave Dataset and Simulator for Non-Line-of-Sight Perception
756. NeurIPS 2026MixForensics: Blend Before You Encode for Generalizable AI-Generated Video Detection
757. NeurIPS 2026MixRoute: Rethinking Single-Distribution Training for Generalizable Neural Routing
758. NeurIPS 2026Mixture of Layers: Dynamic Layer Routing for Visual Reasoning
759. NeurIPS 2026Mixture of Probes: Learning with Privileged Modalities in Multimodal LLMs Through Probing
760. NeurIPS 2026Mixture-of-Hierarchical Experts: Optimized Mamba Architecture for Vision Diffusion
761. NeurIPS 2026ML-assisted Randomization Tests for A/B Experiments
762. NeurIPS 2026MLLMEraser: Achieving Test-Time Unlearning in Multimodal Large Language Models through Activation Steering
763. NeurIPS 2026MM-DyGraph: A Dataset, Benchmark, and Model for Multimodal Dynamic Graphs
764. NeurIPS 2026MM-OptBench: A Solver-Grounded Benchmark for Multimodal Optimization Modeling
765. NeurIPS 2026MM-SCALE: Evaluating Evidence-Grounded Moral Judgment in Vision-Language Models
766. NeurIPS 2026MMA-SafetyBench: A Benchmark for Multimodal Agent Safety Evaluation
767. NeurIPS 2026MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods
768. NeurIPS 2026mmLIP: mmWave Radar-Language Interactive Pretraining via Point Confidence
769. NeurIPS 2026MMTA: Benchmarking Multimodal Temporal Analysis with Time Series, Text, and Vision
770. NeurIPS 2026Modality-Aware Expert Pruning for MoE-Based Multimodal Large Language Models
771. NeurIPS 2026Model Distribution-Aware Multimodal Dataset Distillation
772. NeurIPS 2026ModelLens: Finding the Best for Your Task from Myriads of Models
773. NeurIPS 2026MoEZip: Routing-Aware KV Cache Compression for Sparse Mixture-of-Experts LLMs
774. NeurIPS 2026MONET: A Massive, Open, Non-redundant and Enriched Text-to-image dataset
775. NeurIPS 2026More Than Meets the Eye? Uncovering the Reasoning-Planning Disconnect in Training Vision-Language Driving Models
776. NeurIPS 2026MoRe-DVC: Motion Retrieval-Augmented Generation for Detailed Video Captioning
777. NeurIPS 2026MorphoHELM: A Comprehensive Benchmark for Evaluating Representations for Microscopy-Based Morphology Assays
778. NeurIPS 2026MOSAIC: Concept Bottlenecks via Text-Anchored Optimal Transport
779. NeurIPS 2026Motion Cues from Image-based Point Tracking for LiDAR Scene Flow Estimation
780. NeurIPS 2026MotionCFG: Boosting Motion Dynamics via Semantic Motion Sharpening
781. NeurIPS 2026MotionHalluc: Diagnosing Kinematic Hallucinations in Fine-Grained Motion Reasoning
782. NeurIPS 2026MSAlign: Aligning Molecular and Mass Spectra Foundation Models for Metabolite Identification
783. NeurIPS 2026MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image
784. NeurIPS 2026Multidimensional Observer Model and Perceptual Dimensions of Human Image Quality Assessment
785. NeurIPS 2026Multimodal Context-Aware Human Motion Generation with Language, Vision, and Object
786. NeurIPS 2026Multimodal Foundation Agents Should Use Brain Data as Privileged Supervision
787. NeurIPS 2026Multimodal LLMs Outperform Pathology Foundation Models in Cross-Domain Histological Similarity
788. NeurIPS 2026MultiSTEVE-1s: A Model Zoo and Interpretability Suite for Instruction-Following Vision Agents
789. NeurIPS 2026MUNI: Multimodal Unified Latent Diffusion for Coherent Any-to-Any Generation
790. NeurIPS 2026Muon Does Not Converge on Convex Lipschitz Functions
791. NeurIPS 2026MUST: Stage-Adaptive Stability Control for Test-Time Scaling in Multimodal Reasoning
792. NeurIPS 2026MUX: Continuous Reasoning via Multiplexed Tokens
793. NeurIPS 2026NavOCR: A Dataset Generator for Navigation-Relevant Text Detection in Mobile Robots
794. NeurIPS 2026Nearly Optimal Attention Coresets
795. NeurIPS 2026Nearly Optimal Bounds for Orthogonal Trace-Sum Maximization
796. NeurIPS 2026Necessary but Not Sufficient: Spectral Tests for Value-Linear Attention Surrogates
797. NeurIPS 2026NestedVLA: Learning to Consolidate and Generate Skills for Vision-Language-Action Model
798. NeurIPS 2026Neural Bayesian Filtering
799. NeurIPS 2026Neural Dual Bounds: Valid-by-Construction JGLP Warm-Starts for MAP and Constrained MAP
800. NeurIPS 2026Neural Expansion: A Unified Mechanism for How Deep Neural Network Generalize

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.