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 6 of 39

251. ICML 2026DREAM-R: Multimodal Speculative Reasoning with RL-Based Refined Drafting, Precise Verification, and Fully Parallel Execution
252. ICML 2026DRFusion: Drift-Resilient Temporally Consistent Infrared–Visible Video Fusion
253. ICML 2026DSB: Dynamic Sliding Block Scheduling for Diffusion LLMs
254. ICML 2026DTKG: Dual-Track Knowledge Graph-Verified Reasoning Framework for Multi-Hop QA
255. ICML 2026Dual-Latent Memory Routing for Vision-Language Reasoning
256. ICML 2026DuRP: Dual-Stage Physics-Embedded Learning for Joint Radiance and Polarization Restoration
257. ICML 2026DyGRO-VLA: Cross-Task Scaling of Vision–Language–Action Models via Dynamic Grouped Residual Optimization
258. ICML 2026Dyn-VPP: Video Prediction Policy Optimization for Improved Visual Dynamics
259. ICML 2026Dynamic Decision Learning: Test-Time Evolution for Abnormality Grounding in Rare Diseases
260. ICML 2026Dynamic Linear Attention
261. ICML 2026Dynamic Multimodal Evaluation via Knowledge-Enhanced Benchmark Evolution
262. ICML 2026EAGer: Entropy-Aware GEneRation for Adaptive Inference-Time Scaling
263. ICML 2026EAKV: An Entropy-Driven Adaptive KV Compression Framework for Long Video Understanding
264. ICML 2026ECA: Efficient Continual Alignment for Open-Ended Image-to-Text Generation
265. ICML 2026EchoAttention: Exploiting Token-Pair Redundancy and Frame-Block Similarity for Efficient Video Generation
266. ICML 2026EcoVLA: Environment-Aware Adaptive Pruning with Interleaved Inference Orchestration for Vision-Language-Action Models
267. ICML 2026EEG-Based Multimodal Learning via Hyperbolic Mixture-of-Curvature Experts
268. ICML 2026EEmo-Logic: A Unified Dataset and Multi-Stage Framework for Comprehensive Image-Evoked Emotion Assessment
269. ICML 2026Effective Distillation to Hybrid xLSTM Architectures
270. ICML 2026Effective Model Pruning : Measuring the Redundancy of Model Components
271. ICML 2026Efficient Distributed MLLM Training with Cornstarch
272. ICML 2026Efficient DP-SGD for LLMs with Randomized Clipping
273. ICML 2026Efficient Hallucination Detection for LLMs Using Uncertainty-Aware Attention Heads
274. ICML 2026Efficient Reasoning with Hidden Thinking
275. ICML 2026Efficient RL Training for LLMs with Experience Replay
276. ICML 2026Ego3S: Select, Strengthen, and Synchronize for Efficient Egocentric Reasoning
277. ICML 2026Embodied Interpretability: Linking Causal Understanding to Generalization in Vision-Language-Action Models
278. ICML 2026Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality
279. ICML 2026Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation
280. ICML 2026Enhancing Multi-Modal LLMs Reasoning via Difficulty-Aware Group Normalization
281. ICML 2026Enhancing Numerical Prediction in LLMs via Smooth MMD Alignment
282. ICML 2026Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization
283. ICML 2026EnsembleVLA: Ensemble Learning for Vision-Language Action Models
284. ICML 2026EntRAG: Entity-Centric Retrieval-Augmented Generation for Knowledge-based Visual Question Answering
285. ICML 2026Epistemic Uncertainty Quantification for Pre-trained VLMs via Riemannian Flow Matching
286. ICML 2026ERGeoBench: A Comprehensive Benchmark for Embodied Reasoning and Geo-localization in Multimodal Large Language Models
287. ICML 2026Escaping the Likelihood Trap: Geometric Diversity Optimization for Long-Form Image Captioning
288. ICML 2026Evaluating and Explaining Prompt Sensitivity of LLMs Using Interactions
289. ICML 2026Evaluating LLMs When They Do Not Know the Answer: Statistical Evaluation of Mathematical Reasoning via Comparative Signals
290. ICML 2026Evaluating Newtonian Mechanics in Video Generative Models with Real Physical Systems
291. ICML 2026Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights
292. ICML 2026EvoGM: Learning to Merge LLMs via Evolutionary Generative Optimization
293. ICML 2026Evolving Interdependent Operators with Large Language Models for Multi-Objective Combinatorial Optimization
294. ICML 2026ExpAlign: Expectation-Guided Vision–Language Alignment for Open-Vocabulary Grounding
295. ICML 2026ExpertWeaver: Unlocking the Inherent MoE in Dense LLMs with GLU Activation Patterns
296. ICML 2026Extracting alignment data in open models
297. ICML 2026ExVerus: Verus Proof Repair via Counterexample Reasoning
298. ICML 2026Failure is Feedback: History-Aware Backtracking for Agentic Traversal in Multimodal Graphs
299. ICML 2026FairSSL: Fair Multimodal Self-Supervised Learning
300. ICML 2026Faithful Mobile GUI Agents with Guided Advantage Estimator

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.