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

3,319 papers, page 60 of 67

2951. NeurIPS 2023Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models
2952. NeurIPS 2023Cheaply Estimating Inference Efficiency Metrics for Autoregressive Transformer Models
2953. NeurIPS 2023CLadder: Assessing Causal Reasoning in Language Models
2954. NeurIPS 2023CLIP4HOI: Towards Adapting CLIP for Practical Zero-Shot HOI Detection
2955. NeurIPS 2023COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs
2956. NeurIPS 2023Cola: A Benchmark for Compositional Text-to-image Retrieval
2957. NeurIPS 2023Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
2958. NeurIPS 2023Compact Neural Volumetric Video Representations with Dynamic Codebooks
2959. NeurIPS 2023Composable Coresets for Determinant Maximization: Greedy is Almost Optimal
2960. NeurIPS 2023Compositional Foundation Models for Hierarchical Planning
2961. NeurIPS 2023Computational Guarantees for Doubly Entropic Wasserstein Barycenters
2962. NeurIPS 2023Computing a human-like reaction time metric from stable recurrent vision models
2963. NeurIPS 2023Consensus and Subjectivity of Skin Tone Annotation for ML Fairness
2964. NeurIPS 2023Context-PIPs: Persistent Independent Particles Demands Spatial Context Features
2965. NeurIPS 2023Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels
2966. NeurIPS 2023Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems
2967. NeurIPS 2023Convolutional State Space Models for Long-Range Spatiotemporal Modeling
2968. NeurIPS 2023Counterfactual Memorization in Neural Language Models
2969. NeurIPS 2023CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders
2970. NeurIPS 2023CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganography
2971. NeurIPS 2023CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss
2972. NeurIPS 2023D4: Improving LLM Pretraining via Document De-Duplication and Diversification
2973. NeurIPS 2023DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation
2974. NeurIPS 2023Data Portraits: Recording Foundation Model Training Data
2975. NeurIPS 2023Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness
2976. NeurIPS 2023DataComp: In search of the next generation of multimodal datasets
2977. NeurIPS 2023DataPerf: Benchmarks for Data-Centric AI Development
2978. NeurIPS 2023DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models
2979. NeurIPS 2023Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model
2980. NeurIPS 2023DELIFFAS: Deformable Light Fields for Fast Avatar Synthesis
2981. NeurIPS 2023Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
2982. NeurIPS 2023DesCo: Learning Object Recognition with Rich Language Descriptions
2983. NeurIPS 2023Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents
2984. NeurIPS 2023Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models
2985. NeurIPS 2023DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics
2986. NeurIPS 2023DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
2987. NeurIPS 2023Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of Tropical Cyclones
2988. NeurIPS 2023Diplomat: A Dialogue Dataset for Situated PragMATic Reasoning
2989. NeurIPS 2023DISCOVER: Making Vision Networks Interpretable via Competition and Dissection
2990. NeurIPS 2023Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning
2991. NeurIPS 2023Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering
2992. NeurIPS 2023Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
2993. NeurIPS 2023Diverse Shape Completion via Style Modulated Generative Adversarial Networks
2994. NeurIPS 2023Diversify Your Vision Datasets with Automatic Diffusion-based Augmentation
2995. NeurIPS 2023Diversifying Spatial-Temporal Perception for Video Domain Generalization
2996. NeurIPS 2023Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models
2997. NeurIPS 2023Dual Mean-Teacher: An Unbiased Semi-Supervised Framework for Audio-Visual Source Localization
2998. NeurIPS 2023DVSOD: RGB-D Video Salient Object Detection
2999. NeurIPS 2023Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers
3000. NeurIPS 2023DynPoint: Dynamic Neural Point For View Synthesis

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.