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 8 of 9

351. NeurIPS 2023Scientific Document Retrieval using Multi-level Aspect-based Queries
352. NeurIPS 2023Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
353. NeurIPS 2023Segment Everything Everywhere All at Once
354. NeurIPS 2023Self-Chained Image-Language Model for Video Localization and Question Answering
355. NeurIPS 2023Self-Evaluation Guided Beam Search for Reasoning
356. NeurIPS 2023Self-Refine: Iterative Refinement with Self-Feedback
357. NeurIPS 2023Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots
358. NeurIPS 2023Skill-it! A data-driven skills framework for understanding and training language models
359. NeurIPS 2023SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs
360. NeurIPS 2023Spatio-Angular Convolutions for Super-resolution in Diffusion MRI
361. NeurIPS 2023SQ Lower Bounds for Learning Mixtures of Linear Classifiers
362. NeurIPS 2023Stability Guarantees for Feature Attributions with Multiplicative Smoothing
363. NeurIPS 2023Stable and low-precision training for large-scale vision-language models
364. NeurIPS 2023StoryBench: A Multifaceted Benchmark for Continuous Story Visualization
365. NeurIPS 2023StressID: a Multimodal Dataset for Stress Identification
366. NeurIPS 2023Structured Semidefinite Programming for Recovering Structured Preconditioners
367. NeurIPS 2023SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality
368. NeurIPS 2023SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models
369. NeurIPS 2023SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
370. NeurIPS 2023Symbol-LLM: Leverage Language Models for Symbolic System in Visual Human Activity Reasoning
371. NeurIPS 2023Symbolic Discovery of Optimization Algorithms
372. NeurIPS 2023Systematic Visual Reasoning through Object-Centric Relational Abstraction
373. NeurIPS 2023T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation
374. NeurIPS 2023TART: A plug-and-play Transformer module for task-agnostic reasoning
375. NeurIPS 2023Test-Time Distribution Normalization for Contrastively Learned Visual-language Models
376. NeurIPS 2023Test-time Training for Matching-based Video Object Segmentation
377. NeurIPS 2023Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples
378. NeurIPS 2023Text Promptable Surgical Instrument Segmentation with Vision-Language Models
379. NeurIPS 2023Text-to-Image Diffusion Models are Zero Shot Classifiers
380. NeurIPS 2023Textually Pretrained Speech Language Models
381. NeurIPS 2023The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs
382. NeurIPS 2023The Learnability of In-Context Learning
383. NeurIPS 2023The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification
384. NeurIPS 2023The ToMCAT Dataset
385. NeurIPS 2023Three Towers: Flexible Contrastive Learning with Pretrained Image Models
386. NeurIPS 2023Time Series as Images: Vision Transformer for Irregularly Sampled Time Series
387. NeurIPS 2023Token-Scaled Logit Distillation for Ternary Weight Generative Language Models
388. NeurIPS 2023Toolbox for Multimodal Learn (scikit-multimodallearn)
389. NeurIPS 2023ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings
390. NeurIPS 2023ToolQA: A Dataset for LLM Question Answering with External Tools
391. NeurIPS 2023Topology-Aware Uncertainty for Image Segmentation
392. NeurIPS 2023Towards Efficient Image Compression Without Autoregressive Models
393. NeurIPS 2023Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning
394. NeurIPS 2023Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior
395. NeurIPS 2023Towards Label-free Scene Understanding by Vision Foundation Models
396. NeurIPS 2023Towards Optimal Caching and Model Selection for Large Model Inference
397. NeurIPS 2023Training Transitive and Commutative Multimodal Transformers with LoReTTa
398. NeurIPS 2023TransHP: Image Classification with Hierarchical Prompting
399. NeurIPS 2023Transition-constant Normalization for Image Enhancement
400. NeurIPS 2023Tree of Thoughts: Deliberate Problem Solving with Large Language Models

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.