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

11,207 papers, page 189 of 225

9401. ICML 2024Multicalibration for Confidence Scoring in LLMs
9402. ICML 2024Multimodal Prototyping for cancer survival prediction
9403. ICML 2024Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity
9404. ICML 2024Neural Networks Learn Statistics of Increasing Complexity
9405. ICML 2024New Bounds on the Cohesion of Complete-link and Other Linkage Methods for Agglomerative Clustering
9406. ICML 2024NExT-Chat: An LMM for Chat, Detection and Segmentation
9407. ICML 2024NExT-GPT: Any-to-Any Multimodal LLM
9408. ICML 2024Non-Vacuous Generalization Bounds for Large Language Models
9409. ICML 2024Novel Spectral Algorithms for the Partial Credit Model
9410. ICML 2024On Prompt-Driven Safeguarding for Large Language Models
9411. ICML 2024On Stronger Computational Separations Between Multimodal and Unimodal Machine Learning
9412. ICML 2024On the Error-Propagation of Inexact Hotelling's Deflation for Principal Component Analysis
9413. ICML 2024On the Independence Assumption in Neurosymbolic Learning
9414. ICML 2024On Universally Optimal Algorithms for A/B Testing
9415. ICML 2024Open-Vocabulary Calibration for Fine-tuned CLIP
9416. ICML 2024Optimizing Watermarks for Large Language Models
9417. ICML 2024Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity
9418. ICML 2024Outlier-aware Slicing for Post-Training Quantization in Vision Transformer
9419. ICML 2024Parallelized Spatiotemporal Slot Binding for Videos
9420. ICML 2024Parameter-Dependent Competitive Analysis for Online Capacitated Coverage Maximization through Boostings and Attenuations
9421. ICML 2024PARDEN, Can You Repeat That? Defending against Jailbreaks via Repetition
9422. ICML 2024Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models
9423. ICML 2024PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming
9424. ICML 2024PerceptAnon: Exploring the Human Perception of Image Anonymization Beyond Pseudonymization for GDPR
9425. ICML 2024PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
9426. ICML 2024Position: A Call for Embodied AI
9427. ICML 2024Position: Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?
9428. ICML 2024Position: Do pretrained Transformers Learn In-Context by Gradient Descent?
9429. ICML 2024Position: Embracing Negative Results in Machine Learning
9430. ICML 2024Position: Foundation Agents as the Paradigm Shift for Decision Making
9431. ICML 2024Position: Levels of AGI for Operationalizing Progress on the Path to AGI
9432. ICML 2024Position: LLMs Can’t Plan, But Can Help Planning in LLM-Modulo Frameworks
9433. ICML 2024Position: Standardization of Behavioral Use Clauses is Necessary for the Adoption of Responsible Licensing of AI
9434. ICML 2024Position: Stop Making Unscientific AGI Performance Claims
9435. ICML 2024Position: Technical Research and Talent is Needed for Effective AI Governance
9436. ICML 2024Position: Tensor Networks are a Valuable Asset for Green AI
9437. ICML 2024Position: The Reasonable Person Standard for AI
9438. ICML 2024Position: Towards Implicit Prompt For Text-To-Image Models
9439. ICML 2024Position: TrustLLM: Trustworthiness in Large Language Models
9440. ICML 2024Position: Understanding LLMs Requires More Than Statistical Generalization
9441. ICML 2024Position: What makes an image realistic?
9442. ICML 2024Positive Concave Deep Equilibrium Models
9443. ICML 2024Post-hoc Part-Prototype Networks
9444. ICML 2024Practical Performance Guarantees for Pipelined DNN Inference
9445. ICML 2024PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
9446. ICML 2024Predicting Lagrangian Multipliers for Mixed Integer Linear Programs
9447. ICML 2024Predictive Dynamic Fusion
9448. ICML 2024Premise Order Matters in Reasoning with Large Language Models
9449. ICML 2024Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
9450. ICML 2024Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation

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.