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

5,190 papers, page 104 of 104

5151. NeurIPS 2026What Sketches Tell Us about LVLMs: Conventions, Grounding, and Localisation
5152. NeurIPS 2026What Stops SGD on LLM Pre-Training: The Need for Large Learning Rate and How to Achieve it
5153. NeurIPS 2026What to Perturb, How to Propagate: A Graph-Guided Transferable Attack on VLP Models
5154. NeurIPS 2026What’s Holding Back Latent Visual Reasoning?
5155. NeurIPS 2026When a Zero-Shooter Cheats: Improving Age Estimation via Activation Steering
5156. NeurIPS 2026When and What to Prune? Stage-Aware Visual Token Pruning for Efficient VLA
5157. NeurIPS 2026When Attention Closes: How LLMs Lose the Thread in Multi-Turn Interaction
5158. NeurIPS 2026When Copying Is Hard: Copy-Constrained Decoding for Exact Span Reproduction
5159. NeurIPS 2026When Depth Lies: Benchmarking Vision-Language Models on Mirror-Induced RGB-D Ambiguity
5160. NeurIPS 2026When Do Cosine Prototypes Mislead? A Whitening-Aware Benchmark for Frozen-Feature Image Classification
5161. NeurIPS 2026When Language Overrules: Revealing Text Dominance in Multimodal Large Language Models
5162. NeurIPS 2026When LLMs Know but Fail to Reason: Injecting Memory for Reasoning Enhancement
5163. NeurIPS 2026When Medical VLMs Stop Understanding: MedTEC-Bench for Probing Semantic Specificity
5164. NeurIPS 2026When Metropolis and Hastings Meet Bradley and Terry: Exact MCMC From Preference Voting
5165. NeurIPS 2026When Noise Meets Long-Tail: Feature-Threshold Dual Calibration for Robust Pseudo-Labeling
5166. NeurIPS 2026When Should LLMs Be Less Specific? Selective Abstraction for Reliable Long-Form Text Generation
5167. NeurIPS 2026When Think-with-Image Meets Safety: What Determines Multimodal Jailbreak Robustness?
5168. NeurIPS 2026When to Inject the Target: Stage-Decoupled Guidance for Diffusion-Based Targeted Adversarial Attacks
5169. NeurIPS 2026When Transcriptomic Foundation Models Scale: Domain-Focused Pretraining for Drug Development in Immunology and Inflammation
5170. NeurIPS 2026Where Are MLLMs Looking When They Hallucinate? Mitigating Visual Hallucination via Gaze Steering
5171. NeurIPS 2026Where Reusable Computation Becomes Detectable: Solution-Frame Path Triage for Modular-Arithmetic Grokking
5172. NeurIPS 2026Where to Approximate in Neurosymbolic Inference?
5173. NeurIPS 2026Which Way Did It Move? Diagnosing and Overcoming Directional Motion Blindness in Video LLMs
5174. NeurIPS 2026Who Called? V33DA: A Physically Verified Multimodal Benchmark for Vocal Attribution in Zebra Finch Groups
5175. NeurIPS 2026Who Needs Labels? Adapting Vision Foundation Models With the Metadata You Already Have
5176. NeurIPS 2026Who Says What: Symbolic Trimodal Binding Mechanisms in Audio-Visual LLMs
5177. NeurIPS 2026Why Are LLMs Confidently Wrong? Correcting Overconfident Errors via Causal Head Intervention
5178. NeurIPS 2026Why Do DiT Editors Drift? Plug-and-Play Low Frequency Alignment in VAE Latent Space
5179. NeurIPS 2026Why Heavy-Tailed Weights Predict Model Quality
5180. NeurIPS 2026Why Invariance is Not Enough for Biomedical Domain Generalization and How to Fix It
5181. NeurIPS 2026Winfree Oscillatory Neural Network
5182. NeurIPS 2026Witness Overlap: Directional Provenance Inside Open-Weight Model Families
5183. NeurIPS 2026Words Before Pixels: Selective Modality Routing for Vision-Language Model Unlearning
5184. NeurIPS 2026Words That Make Language Models Perceive
5185. NeurIPS 2026World–Value–Action Model: Implicit Planning for Vision–Language–Action Systems
5186. NeurIPS 2026WorldSR: Harnessing World Knowledge Search for Grounded Image Super-Resolution
5187. NeurIPS 2026WorldVLN: Autoregressive World Action Model for Aerial Vision-Language Navigation
5188. NeurIPS 2026WovenAnchor Matcher: Specialized Intra- and Inter-Image Context Modeling for Feature Matching
5189. NeurIPS 2026XMNoise2Clean: Cross-Modal Denoising Under Sparse Data
5190. NeurIPS 2026Z0-Inf: Zeroth Order Approximation for Data Influence

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.