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

3,075 papers, page 55 of 62

2701. NeurIPS 2025Principled Data Augmentation for Learning to Solve Quadratic Programming Problems
2702. NeurIPS 2025Probabilistic Token Alignment for Large Language Model Fusion
2703. NeurIPS 2025PROFIT: A Specialized Optimizer for Deep Fine Tuning
2704. NeurIPS 2025Projection-Manifold Regularized Latent Diffusion for Robust General Image Fusion
2705. NeurIPS 2025Projective Equivariant Networks via Second-order Fundamental Differential Invariants
2706. NeurIPS 2025Prompt-guided Disentangled Representation for Action Recognition
2707. NeurIPS 2025Prot2Text-V2: Protein Function Prediction with Multimodal Contrastive Alignment
2708. NeurIPS 2025Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied Agents
2709. NeurIPS 2025Proxy-SPEX: Sample-Efficient Interpretability via Sparse Feature Interactions in LLMs
2710. NeurIPS 2025PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks
2711. NeurIPS 2025PSMBench: A Benchmark and Dataset for Evaluating LLMs Extraction of Protocol State Machines from RFC Specifications
2712. NeurIPS 2025PUO-Bench: A Panel Understanding and Operation Benchmark with A Privacy-Preserving Framework
2713. NeurIPS 2025QBasicVSR: Temporal Awareness Adaptation Quantization for Video Super-Resolution
2714. NeurIPS 2025QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training
2715. NeurIPS 2025QSCA: Quantization with Self-Compensating Auxiliary for Monocular Depth Estimation
2716. NeurIPS 2025QSVD: Efficient Low-rank Approximation for Unified Query-Key-Value Weight Compression in Low-Precision Vision-Language Models
2717. NeurIPS 2025Quadratic Coreset Selection: Certifying and Reconciling Sequence and Token Mining for Efficient Instruction Tuning
2718. NeurIPS 2025Quality-Driven Curation of Remote Sensing Vision-Language Data via Learned Scoring Models
2719. NeurIPS 2025Quantifying Cross-Modality Memorization in Vision-Language Models
2720. NeurIPS 2025Quantization Error Propagation: Revisiting Layer-Wise Post-Training Quantization
2721. NeurIPS 2025QuARI: Query Adaptive Retrieval Improvement
2722. NeurIPS 2025QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?
2723. NeurIPS 2025R1-ShareVL: Incentivizing Reasoning Capabilities of Multimodal Large Language Models via Share-GRPO
2724. NeurIPS 2025RAD: Towards Trustworthy Retrieval-Augmented Multi-modal Clinical Diagnosis
2725. NeurIPS 2025RADAR: Benchmarking Language Models on Imperfect Tabular Data
2726. NeurIPS 2025RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts
2727. NeurIPS 2025RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Chest X-ray with Zero-Shot Multi-Task Capability
2728. NeurIPS 2025RAST: Reasoning Activation in LLMs via Small-model Transfer
2729. NeurIPS 2025RaySt3R: Predicting Novel Depth Maps for Zero-Shot Object Completion
2730. NeurIPS 2025RBench-V: A Primary Assessment for Visual Reasoning Models with Multimodal Outputs
2731. NeurIPS 2025RDD: Retrieval-Based Demonstration Decomposer for Planner Alignment in Long-Horizon Tasks
2732. NeurIPS 2025Reading Recognition in the Wild
2733. NeurIPS 2025ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding
2734. NeurIPS 2025Real-Time Execution of Action Chunking Flow Policies
2735. NeurIPS 2025Reason-RFT: Reinforcement Fine-Tuning for Visual Reasoning of Vision Language Models
2736. NeurIPS 2025REASONING COMPILER: LLM-Guided Optimizations for Efficient Model Serving
2737. NeurIPS 2025Reasoning is Periodicity? Improving Large Language Models Through Effective Periodicity Modeling
2738. NeurIPS 2025Reasoning Planning for Language Models
2739. NeurIPS 2025Recognition through Reasoning: Reinforcing Image Geo-localization with Large Vision-Language Models
2740. NeurIPS 2025Recurrent Attention-based Token Selection for Efficient Streaming Video-LLMs
2741. NeurIPS 2025Recursive Inference Scaling: A Winning Path to Scalable Inference in Language and Multimodal Systems
2742. NeurIPS 2025REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing
2743. NeurIPS 2025Reinforcement Learning for Out-of-Distribution Reasoning in LLMs: An Empirical Study on Diagnosis-Related Group Coding
2744. NeurIPS 2025Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing
2745. NeurIPS 2025Reliable Lifelong Multimodal Editing: Conflict-Aware Retrieval Meets Multi-Level Guidance
2746. NeurIPS 2025Remarkable Robustness of LLMs: Stages of Inference?
2747. NeurIPS 2025Rendering-Aware Reinforcement Learning for Vector Graphics Generation
2748. NeurIPS 2025REOBench: Benchmarking Robustness of Earth Observation Foundation Models
2749. NeurIPS 2025REOrdering Patches Improves Vision Models
2750. NeurIPS 2025ReplaceMe: Network Simplification via Depth Pruning and Transformer Block Linearization

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.