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

433 papers, page 7 of 9

301. NeurIPS 2023Parts of Speech–Grounded Subspaces in Vision-Language Models
302. NeurIPS 2023Patch n’ Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution
303. NeurIPS 2023Paxion: Patching Action Knowledge in Video-Language Foundation Models
304. NeurIPS 2023Perception Test: A Diagnostic Benchmark for Multimodal Video Models
305. NeurIPS 2023Personalized Dictionary Learning for Heterogeneous Datasets
306. NeurIPS 2023PIXIU: A Comprehensive Benchmark, Instruction Dataset and Large Language Model for Finance
307. NeurIPS 2023PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change
308. NeurIPS 2023POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images
309. NeurIPS 2023Post Hoc Explanations of Language Models Can Improve Language Models
310. NeurIPS 2023Precise asymptotic generalization for multiclass classification with overparameterized linear models
311. NeurIPS 2023Preference-grounded Token-level Guidance for Language Model Fine-tuning
312. NeurIPS 2023Principled Weight Initialisation for Input-Convex Neural Networks
313. NeurIPS 2023ProBio: A Protocol-guided Multimodal Dataset for Molecular Biology Lab
314. NeurIPS 2023Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition
315. NeurIPS 2023PromptIR: Prompting for All-in-One Image Restoration
316. NeurIPS 2023ProPILE: Probing Privacy Leakage in Large Language Models
317. NeurIPS 2023Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval
318. NeurIPS 2023PTQD: Accurate Post-Training Quantization for Diffusion Models
319. NeurIPS 2023PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising
320. NeurIPS 2023Punctuation-level Attack: Single-shot and Single Punctuation Can Fool Text Models
321. NeurIPS 2023QLoRA: Efficient Finetuning of Quantized LLMs
322. NeurIPS 2023Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework
323. NeurIPS 2023Quilt-1M: One Million Image-Text Pairs for Histopathology
324. NeurIPS 2023QuIP: 2-Bit Quantization of Large Language Models With Guarantees
325. NeurIPS 2023RaLEs: a Benchmark for Radiology Language Evaluations
326. NeurIPS 2023Random-Access Infinite Context Length for Transformers
327. NeurIPS 2023Recaptured Raw Screen Image and Video Demoiréing via Channel and Spatial Modulations
328. NeurIPS 2023RECKONING: Reasoning through Dynamic Knowledge Encoding
329. NeurIPS 2023RegBN: Batch Normalization of Multimodal Data with Regularization
330. NeurIPS 2023Reproducibility Study of ”Label-Free Explainability for Unsupervised Models”
331. NeurIPS 2023Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline
332. NeurIPS 2023Reusing Pretrained Models by Multi-linear Operators for Efficient Training
333. NeurIPS 2023Revisit Weakly-Supervised Audio-Visual Video Parsing from the Language Perspective
334. NeurIPS 2023Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations
335. NeurIPS 2023Rewrite Caption Semantics: Bridging Semantic Gaps for Language-Supervised Semantic Segmentation
336. NeurIPS 2023RH-BrainFS: Regional Heterogeneous Multimodal Brain Networks Fusion Strategy
337. NeurIPS 2023RIO: A Benchmark for Reasoning Intention-Oriented Objects in Open Environments
338. NeurIPS 2023Robust Contrastive Language-Image Pretraining against Data Poisoning and Backdoor Attacks
339. NeurIPS 2023Robust Mean Estimation Without Moments for Symmetric Distributions
340. NeurIPS 2023rPPG-Toolbox: Deep Remote PPG Toolbox
341. NeurIPS 2023Rubik's Cube: High-Order Channel Interactions with a Hierarchical Receptive Field
342. NeurIPS 2023RVD: A Handheld Device-Based Fundus Video Dataset for Retinal Vessel Segmentation
343. NeurIPS 2023S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions
344. NeurIPS 2023SANFlow: Semantic-Aware Normalizing Flow for Anomaly Detection
345. NeurIPS 2023SatLM: Satisfiability-Aided Language Models Using Declarative Prompting
346. NeurIPS 2023Scale-Space Hypernetworks for Efficient Biomedical Image Analysis
347. NeurIPS 2023Scaling laws for language encoding models in fMRI
348. NeurIPS 2023Scaling Open-Vocabulary Object Detection
349. NeurIPS 2023Scattering Vision Transformer: Spectral Mixing Matters
350. NeurIPS 2023SceneScape: Text-Driven Consistent Scene Generation

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.