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

1,366 papers, page 7 of 28

301. NeurIPS 2026CrossID: Cross-Supervised Spatio-Temporal Gated Fusion for Personalized Portrait Generation
302. NeurIPS 2026CryptanalysisBench: Can LLMs do cryptanalysis?
303. NeurIPS 2026CSBench: A Comprehensive Benchmark for Evaluating Project-Level System Construction in Computer Science
304. NeurIPS 2026CSI-TextBench: A Dataset and Benchmark for Language-Grounded Ambient Sensing Perception
305. NeurIPS 2026CTM-AI: A Blueprint for General AI Inspired by a Model of Consciousness
306. NeurIPS 2026CURE: Visual Reprogramming of Vision-Language Models under Limited Supervision
307. NeurIPS 2026Curvature Beyond Positivity: Greedy Guarantees for Arbitrary Submodular Functions
308. NeurIPS 2026CurveBench: A Benchmark for Exact Topological Reasoning over Nested Jordan Curves
309. NeurIPS 2026D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models
310. NeurIPS 2026D-VLA: A High-Concurrency Distributed Asynchronous RL Framework for Vision-Language-Action Models
311. NeurIPS 2026D$^2$Quant: Accurate Low-bit Post-Training Weight Quantization for LLMs
312. NeurIPS 2026DAG-Biased Graph Learning for Multimodal Survival on EHR
313. NeurIPS 2026DAGA: Dynamic Attention-Guided Adaptation for Self-Supervised Vision Transformers
314. NeurIPS 2026DARE: Dual-Level Adversarial Learning with Domain-Aware Regularization for Whole Slide Image Classification
315. NeurIPS 2026DataComp-VLM: Improved open datasets for Vision-Language Models
316. NeurIPS 2026DataFlex: A Unified Benchmark and Evaluation Platform for Data-Centric Training of Large Language Models
317. NeurIPS 2026DAWN: Dependency-Aware Fast Inference for Diffusion LLMs
318. NeurIPS 2026Debiased DPO for Diffusion Models
319. NeurIPS 2026Decoupled Mode Connectivity for Base-to-Novel Generalization in Vision-Language Models
320. NeurIPS 2026Decoupled Prototype Contrastive Alignment Hashing for Cross-Modal Retrieval
321. NeurIPS 2026Deep Barycentric Regression for Optimal Transport Map Estimation and its Statistical Optimality
322. NeurIPS 2026DEFT: Disentanglement-Enhanced Fine-Tuning for EEG Foundation Models
323. NeurIPS 2026DegBins: Degradation-Driven Binning for Depth Super-Resolution
324. NeurIPS 2026Delta-Adapter: Scalable Exemplar-Based Image Editing with Single-Pair Supervision
325. NeurIPS 2026DeltaPrompts: Escaping the Zero-Delta Trap in Multimodal Distillation
326. NeurIPS 2026DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences
327. NeurIPS 2026Despa: Resolving Spatial Collapse in VLMs via Depth-Grounded Geometry
328. NeurIPS 2026Detect Anything in Graphic Design: Element-Level Rewards for Autoregressive Detection
329. NeurIPS 2026Detect What You Need: Chain-of-Causal Reasoning for 3D Intent Grounding
330. NeurIPS 2026DetectViT: Test-time Backdoor Detection for Vision Transformers via Inter-Head Attention Discrepancy
331. NeurIPS 2026Diagnosing and Correcting Bias in MLLM for Long Video Understanding
332. NeurIPS 2026Diagnosing and Repairing Visual Collapse in Compact Medical Multimodal LLMs
333. NeurIPS 2026Diff-Kalman: Difference-Driven Learning for Structure-Preserving Kalman Filtering
334. NeurIPS 2026DifFRACT: Diffusion Feature Reconstruction and Attribution for Circuit Tracing
335. NeurIPS 2026Diffusion Fine-Tuning: Iterative Refinement for Advanced Grounding with Diffusion Large Language Models
336. NeurIPS 2026Diffusion Meta-Prompting and Steering for Generalizable Foundation Model Adaptation
337. NeurIPS 2026Diffusion Thinking for Fast Long-Form Spatial Reasoning in Vision--Language Models
338. NeurIPS 2026Diffusion-DRF: Free, Rich, and Differentiable Reward for Video Diffusion Fine-Tuning
339. NeurIPS 2026DiM$^3$: Bridging Multilingual and Multimodal Models via Direction- and Magnitude-Aware Merging
340. NeurIPS 2026Direct Product Flow Matching: Decoupling Radial and Angular Dynamics for Few-Shot Adaptation
341. NeurIPS 2026Directional Confusions Reveal Divergent Inductive Biases Through Rate-Distortion Geometry in Human and Machine Vision
342. NeurIPS 2026DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers
343. NeurIPS 2026DISCOVER: Online Variance-Guided Data Discovery for Budgeted Multimodal GRPO
344. NeurIPS 2026Discovering Unseen Degradations to Adapt Open-World Image Restoration
345. NeurIPS 2026Disentangled Multimodal Learning for Scalable Dynamic IR-Drop Analysis
346. NeurIPS 2026Disentangling Homophilic and Heterophilic Patterns for Multi-Domain Graph Foundation Models
347. NeurIPS 2026Disentangling Where and When: Factored Spatio-Temporal Explanations for Video Action Recognition
348. NeurIPS 2026Distill to Think, Foresee to Act: Cognitive-Physical Reinforcement Learning for Autonomous Driving
349. NeurIPS 2026Distilling What Matters: Confidence-Aware Selective Distillation for Large Language Models
350. NeurIPS 2026Diverse Representative Rashomon Sets for Sparse Generalized Additive Models

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.