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

1,074 papers, page 6 of 22

251. NeurIPS 2025egoEMOTION: Egocentric Vision and Physiological Signals for Emotion and Personality Recognition in Real-world Tasks
252. NeurIPS 2025EgoExoBench: A Benchmark for First- and Third-person View Video Understanding in MLLMs
253. NeurIPS 2025EgoThinker: Unveiling Egocentric Reasoning with Spatio-Temporal CoT
254. NeurIPS 2025Elastic ViTs from Pretrained Models without Retraining
255. NeurIPS 2025ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism
256. NeurIPS 2025Elevating Visual Perception in Multimodal LLMs with Visual Embedding Distillation
257. NeurIPS 2025EmoNet-Face: An Expert-Annotated Benchmark for Synthetic Emotion Recognition
258. NeurIPS 2025Empower Words: DualGround for Structured Phrase and Sentence-Level Temporal Grounding
259. NeurIPS 2025End-to-End Low-Light Enhancement for Object Detection with Learned Metadata from RAWs
260. NeurIPS 2025End-to-End Vision Tokenizer Tuning
261. NeurIPS 2025Enhanced Expert Merging for Mixture-of-Experts in Graph Foundation Models
262. NeurIPS 2025Enhancing CLIP Robustness via Cross-Modality Alignment
263. NeurIPS 2025Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions
264. NeurIPS 2025Enhancing GUI Agent with Uncertainty-Aware Self-Trained Evaluator
265. NeurIPS 2025Enhancing Infrared Vision: Progressive Prompt Fusion Network and Benchmark
266. NeurIPS 2025Enhancing Privacy in Multimodal Federated Learning with Information Theory
267. NeurIPS 2025Enhancing Temporal Understanding in Video-LLMs through Stacked Temporal Attention in Vision Encoders
268. NeurIPS 2025Enhancing Vision-Language Model Reliability with Uncertainty-Guided Dropout Decoding
269. NeurIPS 2025Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing
270. NeurIPS 2025EOC-Bench: Can MLLMs Identify, Recall, and Forecast Objects in an Egocentric World?
271. NeurIPS 2025EPA: Boosting Event-based Video Frame Interpolation with Perceptually Aligned Learning
272. NeurIPS 2025EPFL-Smart-Kitchen: An Ego-Exo Multi-Modal Dataset for Challenging Action and Motion Understanding in Video-Language Models
273. NeurIPS 2025Epistemic Uncertainty for Generated Image Detection
274. NeurIPS 2025Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models
275. NeurIPS 2025ESCA: Contextualizing Embodied Agents via Scene-Graph Generation
276. NeurIPS 2025Escaping Collapse: The Strength of Weak Data for Large Language Model Training
277. NeurIPS 2025Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations?
278. NeurIPS 2025Evolutionary Reasoning Does Not Arise in Standard Usage of Protein Language Models
279. NeurIPS 2025EvolvedGRPO: Unlocking Reasoning in LVLMs via Progressive Instruction Evolution
280. NeurIPS 2025ExAct: A Video-Language Benchmark for Expert Action Analysis
281. NeurIPS 2025ExGra-Med: Extended Context Graph Alignment for Medical Vision-Language Models
282. NeurIPS 2025Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions
283. NeurIPS 2025Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior
284. NeurIPS 2025Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere
285. NeurIPS 2025Exploring and Leveraging Class Vectors for Classifier Editing
286. NeurIPS 2025Exploring Polyglot Harmony: On Multilingual Data Allocation for Large Language Models Pretraining
287. NeurIPS 2025Exploring the Limits of Vision-Language-Action Manipulation in Cross-task Generalization
288. NeurIPS 2025Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation
289. NeurIPS 2025EyeBench: Predictive Modeling from Eye Movements in Reading
290. NeurIPS 2025Eyes Wide Open: Ego Proactive Video-LLM for Streaming Video
291. NeurIPS 2025FACT: Mitigating Inconsistent Hallucinations in LLMs via Fact-Driven Alternating Code-Text Training
292. NeurIPS 2025Fairshare Data Pricing via Data Valuation for Large Language Models
293. NeurIPS 2025Fast-in-Slow: A Dual-System VLA Model Unifying Fast Manipulation within Slow Reasoning
294. NeurIPS 2025Fast-Slow Thinking GRPO for Large Vision-Language Model Reasoning
295. NeurIPS 2025FastDINOv2: Frequency Based Curriculum Learning Improves Robustness and Training Speed
296. NeurIPS 2025FastJAM: a Fast Joint Alignment Model for Images
297. NeurIPS 2025FastVID: Dynamic Density Pruning for Fast Video Large Language Models
298. NeurIPS 2025FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding
299. NeurIPS 2025Federated Dialogue-Semantic Diffusion for Emotion Recognition under Incomplete Modalities
300. NeurIPS 2025FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts

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.