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

1,910 papers, page 4 of 39

151. ICML 2026Comp-Attn: Present-and-Align Attention for Compositional Video Generation
152. ICML 2026Compass-RoPE: Isotropic Rotary Position Embeddings for Vision Transformers
153. ICML 2026Compressed Sensing for Capability Localization in Large Language Models
154. ICML 2026Concept Concentration for Faithful Representation Intervention
155. ICML 2026Concept-Guided Tokenization: Closing the Gap Between Reconstruction and Generation
156. ICML 2026ConceptMoE: Adaptive Token-to-Concept Compression for Implicit Compute Allocation
157. ICML 2026Condition Number Based Low-Bit Quantization for Image Super-Resolution
158. ICML 2026Confidence is Not Universal: Task-Dependent Calibration and Emergent Behavior in LLMs
159. ICML 2026Conformal Thinking: Risk Control for Reasoning on a Compute Budget
160. ICML 2026ConsMSA: Semantic Distribution Consistency Learning for Multimodal Sentiment Analysis
161. ICML 2026Context-Aware Reasoner: Enhancing Contextual Reasoning in Multimodal Large Language Models
162. ICML 2026Contextualized Visual Personalization in Vision-Language Models
163. ICML 2026Contrastive Representation Regularization for Vision-Language-Action Models
164. ICML 2026Contrastive Spectral Rectification: Test-Time Defense towards Zero-shot Adversarial Robustness of CLIP
165. ICML 2026Controllable and Explainable Personality Sliders for LLMs at Inference Time
166. ICML 2026Controlling the Risk of Corrupted Contexts for Language Models via Early-Exiting
167. ICML 2026CoPE: Continual Probe-guided Expansion for Large Vision-Language Models
168. ICML 2026CoRe: Combined Rewards with Vision-Language Model Feedback for Preference-Aligned Reinforcement Learning
169. ICML 2026CORE: Conflict-Oriented Reasoning for General Multimodal Manipulation Detection
170. ICML 2026Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory
171. ICML 2026Correspondence Cognitive Learning for Multi-Modal Object Re-Identification
172. ICML 2026CoT is Not the Chain of Truth: An Empirical Internal Analysis of Reasoning LLMs for Fake News Generation
173. ICML 2026Counterfactual Residual Data Augmentation for Regression
174. ICML 2026Coverage ≠ Exposure: Auditable Control of Same-Support Tail Failures under Multimodal Missingness
175. ICML 2026Criterion-Conditional In-Context Learning: Evaluating Criterion-Shift Adaptation in Vision-Language Models
176. ICML 2026Cross-Modal Semantic Decoupling and Transfer for Text-to-Visible-Infrared Person Re-Identification
177. ICML 2026CryoACE: An Atom-centric Framework for Accurate and Automated Model Building in Cryo-EM
178. ICML 2026CSD: Content-aware Speculative Decoding for Efficient Image Generation
179. ICML 2026CUARewardBench: A Benchmark for Evaluating Reward Models for Computer-Using Agents
180. ICML 2026CurvZO: Adaptive Curvature-Guided Sparse Zeroth-Order Optimization for Efficient LLM Fine-Tuning
181. ICML 2026CVSearch: Empowering Multimodal LLMs with Cognitive Visual Search for High-Resolution Image Perception
182. ICML 2026D$^2$O: A Dual Debiasing Operator for Training-Free Test-Time Adaptation of Vision–Language Models
183. ICML 2026DAPD: Dependency-Aware Parallel Decoding via Attention for Diffusion LLMs
184. ICML 2026Data Selection for Fine-tuning Vision Language Models via Cross Modal Alignment Trajectories
185. ICML 2026DDGA: Dirichlet Distributional Gradient Aggregation for Transferable Vision-Language Adversarial Attacks
186. ICML 2026Decentralized Instruction Tuning: Conflict-Aware Splitting and Weight Merging
187. ICML 2026DecepChain: Inducing Deceptive Reasoning in Large Language Models
188. ICML 2026DECO: Decoupled Multimodal Diffusion Transformer for Bimanual Dexterous Manipulation with a Plugin Tactile Adapter
189. ICML 2026Decompose and Recompose: Reasoning New Skills from Existing Abilities for Cross-Task Robotic Manipulation
190. ICML 2026Decompose, Structure, and Repair: A Neuro-Symbolic Framework for Autoformalization via Operator Trees
191. ICML 2026Decomposed On-Policy Distillation for Vision-Language Reasoning: Steering Gradients for Visual Grounding
192. ICML 2026Decouple and Cache: KV Cache Construction for Streaming Video Understanding
193. ICML 2026Decoupled Training with Local Reinforcement Fine-Tuning in Federated Learning
194. ICML 2026Decoupling Skeleton and Flesh: Efficient Multimodal Table Reasoning with Disentangled Alignment and Structure-aware Guidance
195. ICML 2026Deep Ensemble Clustering for Visual Representation Learning
196. ICML 2026Deep Learning for BioImaging: What Are We Really Learning?
197. ICML 2026Deep Pre-Alignment for VLMs
198. ICML 2026Deep Residual Injection for Full-Spectrum Forensic Signal Perception in Multimodal Large Language Models
199. ICML 2026DeepHA: Scaling Action Chains Elicits Deep Hierarchical Agents
200. ICML 2026DeepImageSearch: Benchmarking Multimodal Agents for Context-Aware Image Retrieval in Visual Histories

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.