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

2,676 papers, page 49 of 54

2401. ICLR 2024Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning
2402. ICLR 2024Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models
2403. ICLR 2024MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning
2404. ICLR 2024Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
2405. ICLR 2024ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis
2406. ICLR 2024MOFI: Learning Image Representations from Noisy Entity Annotated Images
2407. ICLR 2024MogaNet: Multi-order Gated Aggregation Network
2408. ICLR 2024MOTOR: A Time-to-Event Foundation Model For Structured Medical Records
2409. ICLR 2024Multi-granularity Correspondence Learning from Long-term Noisy Videos
2410. ICLR 2024Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications
2411. ICLR 2024Multimodal Molecular Pretraining via Modality Blending
2412. ICLR 2024Multimodal Patient Representation Learning with Missing Modalities and Labels
2413. ICLR 2024Multimodal Web Navigation with Instruction-Finetuned Foundation Models
2414. ICLR 2024Negative Label Guided OOD Detection with Pretrained Vision-Language Models
2415. ICLR 2024Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models
2416. ICLR 2024Neural Polynomial Gabor Fields for Macro Motion Analysis
2417. ICLR 2024Neural Rate Control for Learned Video Compression
2418. ICLR 2024Neural-Symbolic Recursive Machine for Systematic Generalization
2419. ICLR 2024Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning
2420. ICLR 2024Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data
2421. ICLR 2024Neurosymbolic Grounding for Compositional World Models
2422. ICLR 2024NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization
2423. ICLR 2024OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
2424. ICLR 2024On the generalization capacity of neural networks during generic multimodal reasoning
2425. ICLR 2024On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs
2426. ICLR 2024On the Reliability of Watermarks for Large Language Models
2427. ICLR 2024On the Variance of Neural Network Training with respect to Test Sets and Distributions
2428. ICLR 2024Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy
2429. ICLR 2024OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views
2430. ICLR 2024Out-of-Variable Generalisation for Discriminative Models
2431. ICLR 2024Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization
2432. ICLR 2024OWL: A Large Language Model for IT Operations
2433. ICLR 2024PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images
2434. ICLR 2024PBADet: A One-Stage Anchor-Free Approach for Part-Body Association
2435. ICLR 2024Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models
2436. ICLR 2024PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts
2437. ICLR 2024PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
2438. ICLR 2024PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning
2439. ICLR 2024PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training
2440. ICLR 2024Pre-training with Random Orthogonal Projection Image Modeling
2441. ICLR 2024Progressive Fourier Neural Representation for Sequential Video Compilation
2442. ICLR 2024Prompt Gradient Projection for Continual Learning
2443. ICLR 2024Prompt Learning with Quaternion Networks
2444. ICLR 2024Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction
2445. ICLR 2024Pseudo-Generalized Dynamic View Synthesis from a Video
2446. ICLR 2024Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision
2447. ICLR 2024QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
2448. ICLR 2024Quasi-Monte Carlo for 3D Sliced Wasserstein
2449. ICLR 2024Raidar: geneRative AI Detection viA Rewriting
2450. ICLR 2024Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning

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.