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 19 of 28

901. NeurIPS 2026PixelDense: Dense Prediction as Representation Alignment for Pixel Diffusion
902. NeurIPS 2026PixelPonder: Dynamic Patch Adaptation for Enhanced Multi-Conditional Text-to-Image Generation
903. NeurIPS 2026PixFoundation 2.0: Do Video Multi-Modal LLMs Use Motion in Visual Grounding?
904. NeurIPS 2026PLACE: Patch-Level Agnostic Concept Extraction
905. NeurIPS 2026Plausibility Is Not Prediction: Contrastive Evidence for LLM-Based Cellular Perturbation Reasoning
906. NeurIPS 2026PM1: A Multimodal Foundation Model for Genomes, Phenotypes, and Images at Biobank Scale
907. NeurIPS 2026Poisoning Attacks on LLMs Require a Near-constant Number of Poison Samples
908. NeurIPS 2026Polar Transformers: $SO(2)^K$-Equivariant Angular Attention for Cryo-EM Image-Set Processing
909. NeurIPS 2026PolarScale: A Physics-Grounded Benchmark for Radiometrically Consistent RGB-to-Stokes Estimation
910. NeurIPS 2026Polestar: Drift-Aware Cache Calibration and Token Commitment for Efficient Inference of Diffusion LLMs
911. NeurIPS 2026PolyVision: Conditional Visual Scaling Via Dynamic Expert Routing For Vision-Centric MLLMs
912. NeurIPS 2026Pose6DAug: Physically Plausible Multi-View Object Swapping for Robot Data Augmentation
913. NeurIPS 2026Positional LSH: Binary Block Matrix Approximation for Attention with Linear Biases
914. NeurIPS 2026Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation
915. NeurIPS 2026Post-hoc Selective Classification for Reliable Synthetic Image Detection
916. NeurIPS 2026Post-Training Quantization with Gradient-Projected Fisher Approximation for Vision Transformers
917. NeurIPS 2026POST: Progressive Object-Slot Tokenization for Multimodal Large Language Models
918. NeurIPS 2026Posterior Contraction Rates for sparse Kolmogorov-Arnold Networks in Anisotropic Besov Spaces
919. NeurIPS 2026Predicting Quantization Price for Selecting PTQ Configurations Before Deployment
920. NeurIPS 2026Prefix-Tuning for Arbitrary Output Sequences on Pretrained Transformers
921. NeurIPS 2026Principia: Relational Physics Tests for Video Models
922. NeurIPS 2026Prior Text-Informed Gate Attention Framework for Multimodal Psychiatric Disorder Diagnosis
923. NeurIPS 2026PriorVLA: Prior-Preserving Adaptation for Vision-Language-Action Models
924. NeurIPS 2026Prism Attention: Proposal-Refined Index Sharing Mechanism for Efficient LLMs Inference
925. NeurIPS 2026PRISM: Primitive Routing via In-context Skill Mixing for Lifelong VLA
926. NeurIPS 2026PriSM: Prior-guided Shared-basis Mixture Personalization for LLMs under Sparse User Histories
927. NeurIPS 2026PRISM: Rethinking Atmospheric Scattering Reconstruction as a Unified Understanding and Restoration Model for Real-world Dehazing
928. NeurIPS 2026PRISM: Spectral Pruning and Reconstruction for Parameter-Efficient Model Merging of MLLMs
929. NeurIPS 2026PRO: Enabling Precise and Robust Text Watermark for Open-Source LLMs
930. NeurIPS 2026ProAlign: Progressive Positional and Prototype-Guided Alignment for Aerial-Ground Person Re-Identification
931. NeurIPS 2026ProCLIP: Progressive Vision-Language Alignment via LLM-based Embedder
932. NeurIPS 2026Program-as-Weights: A Programming Paradigm for Fuzzy Functions
933. NeurIPS 2026Progressive Pseudo-label Self-balancing Towards Unsupervised Vision-Language Models Adaptation
934. NeurIPS 2026Progressive Signal Calibration for Medical Image Segmentation: Diagnosing and Correcting Structural Misalignment in Training Signals
935. NeurIPS 2026ProMo3D: Probing Motion Cues in Frozen 3D Foundation Models
936. NeurIPS 2026Prompt-Conditioned Semantic Bottleneck for Cross-Domain Face Attack Detection
937. NeurIPS 2026Proprio: Latent Self-Scoring and Inference-Time Refinement for Physically Plausible Video Generation
938. NeurIPS 2026ProQuant: Progressive Quantization-aware Training for Edge MLLMs
939. NeurIPS 2026Prototype Topology Consistency for Visible-Infrared Lifelong Person Re-Identification
940. NeurIPS 2026Provable Joint Decontamination for Benchmarking Multiple Large Language Models
941. NeurIPS 2026Prysma: Efficient Modality Adaptation for SLO-aware LLM-based Video Question Answering
942. NeurIPS 2026PSD: Pushing the Pareto Frontier of Diffusion LLMs via Parallel Speculative Decoding
943. NeurIPS 2026Q-ViK: Question-Guided Visual KV Cache Eviction for Large Vision-Language Models
944. NeurIPS 2026QB-Highlights: Quality-Guided Budgeted Highlight Detection in Videos with Dense Query-Relevant Moments
945. NeurIPS 2026QuantDemoire: Quantization with Outlier Aware for Image Demoiréing
946. NeurIPS 2026Quantifying Centrality for Complex Data
947. NeurIPS 2026Quasi-Linear ICA for Motor Unit Decomposition during Dynamic Contractions
948. NeurIPS 2026Query Lower Bounds for Approximating the Top Eigenvector of Asymmetric Matrices
949. NeurIPS 2026QUTCC: Quantile Uncertainty Training and Conformal Calibration for Imaging Inverse Problems
950. NeurIPS 2026RADAR: Relative Angular Divergence Across Representations

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.