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

3,319 papers, page 6 of 67

251. NeurIPS 2026Collaborative Reasoning Distillation via Cross-Feedback and Coherent Curation
252. NeurIPS 2026ColorConceptBench: A Benchmark for Probabilistic Color-Concept Understanding in Text-to-Image Models
253. NeurIPS 2026Comp$^2$VLM: A Hybrid Framework Combining Quantization and Lossless Compression for Efficient Vision-Language Models
254. NeurIPS 2026CompJudge: Fine-Grained Comparative Evaluation using Multimodal LLM for Subject-Driven Generation
255. NeurIPS 2026Complementary Cache Guidance with Gradient Disentanglement for Continuous Test-Time Adaptation
256. NeurIPS 2026Complementing DINO Features with Image Structure for Part Discovery
257. NeurIPS 2026Complex Schrödinger Bridges
258. NeurIPS 2026Compressible Representations: Functional Spines in Deep Neural Networks
259. NeurIPS 2026Computational Depth Predicts Quantization Sensitivity in Multimodal Models
260. NeurIPS 2026Compute Efficiency and Serial Runtime Tradeoffs for Stochastic Momentum Methods
261. NeurIPS 2026Concentrated Gradients Amplify Forgetting: Dominant-direction Projection for Continual Multimodal Learning
262. NeurIPS 2026Concepts Worth Having: Refining VLM-Guided Concept Bottleneck Models with Minimal Annotations
263. NeurIPS 2026Concise Reasoning Through the Lens of Lagrangian Optimization
264. NeurIPS 2026CondenseVLA: Learnable History Condensation for Efficient Multi-Frame VLA
265. NeurIPS 2026Conditional misalignment: common interventions can hide emergent misalignment behind contextual triggers
266. NeurIPS 2026Confidence-Calibrated Inference Expansion for Evaluator-Guided Test-Time Reasoning
267. NeurIPS 2026ConforFlux: Particle-Guided Trunk Repulsion for Diverse Protein Conformations
268. NeurIPS 2026Conformal Cache: Reliable Proxy-Discrepancy Caching for Fast Generative Inference
269. NeurIPS 2026ConQuR: Corner Aligned Activation Quantization via Optimized Rotations for LLMs
270. NeurIPS 2026Consolidating Reasoning with Test-Time Learning
271. NeurIPS 2026Constrained Decoding for Diffusion Language Models via Efficient Inference over Finite Automata
272. NeurIPS 2026Context-Aware Autoregressive Image Generation for Emerging Reasoning Properties
273. NeurIPS 2026Continually Evolving Skill Knowledge in Vision Language Action Model
274. NeurIPS 2026Continuous Expert Assembly: Instance-Conditioned Low-Rank Residuals for All-in-One Image Restoration
275. NeurIPS 2026Contractive Restoring Flows: Robust Reasoning Distillation via Orbital Stability
276. NeurIPS 2026Controllable and Content Based Recommendations
277. NeurIPS 2026Controllable Multi-label Video Safety Detection via Adaptive Tversky Policy Optimization
278. NeurIPS 2026Controlling for Omitted Variable Bias in Deep Neural Networks
279. NeurIPS 2026CoPE-VideoLM: Leveraging Codec Primitives For Efficient Video Language Modelling
280. NeurIPS 2026CORAL: A Benchmark for Structure-aware and Brain-wide Neuron Reconstruction in Light Microscopy
281. NeurIPS 2026CoRDS: Coreset-Based Representative and Diverse Selection for Streaming Video Understanding
282. NeurIPS 2026CoRE-RL: Co-evolving Reasoning Trajectories and Evidence Subgraphs with Learned Evidence Projection
283. NeurIPS 2026Coresets for Clustering Using Noisy Comparisons and Few Distance Queries
284. NeurIPS 2026Correpondence Alignment For Improved Virtual Try-On
285. NeurIPS 2026Correspondence Pruning by Iterative Structural Rectification
286. NeurIPS 2026CoScan: Multi-Scale Content-Adaptive Space-Filling Scans for Causal State-Space Image Restoration
287. NeurIPS 2026Counterfactual Instruction Grounding for Vision-Language-Action Models
288. NeurIPS 2026Counting without Scale: Scale-Consistent Error Correction for Crowd Counting
289. NeurIPS 2026Coverage-Based Calibration for Post-Training Quantization via Weighted Maximum Coverage over Outlier Channels
290. NeurIPS 2026CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving
291. NeurIPS 2026Cracks in the Foundation: A Civil Infrastructure Dataset to Challenge Vision Foundation Models
292. NeurIPS 2026CRAFT: Causal Responsibility and Failure Tracing in Medical Vision Language Models
293. NeurIPS 2026CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies
294. NeurIPS 2026CrafterDojo: A Suite of Foundation Models for Building Open-Ended Embodied Agents in Crafter
295. NeurIPS 2026CRANE: Constrained Reasoning Injection for Code Agents via Nullspace Editing
296. NeurIPS 2026Cross-Channel Agreement Beats Consensus: Compositional Verification for Geometry Reasoning
297. NeurIPS 2026Cross-Distribution Generalization in Longitudinal Behavioral Data Through Frozen Coherence Constraints
298. NeurIPS 2026Cross-Layer Evolution Graph Learning for Fine-grained VLM Hallucination Detection
299. NeurIPS 2026Cross-Modal Prior-Guided Training with Visual Foundation Models for Unsupervised LiDAR Point Cloud Registration
300. NeurIPS 2026Cross-Model Transfer Attacks against Large Vision-Language Models via Model Diversity Enrichment and Stochastic Parameter Sampling

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.