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

1,401 papers, page 6 of 29

251. ICLR 2026DeepEyesV2: Toward Agentic Multimodal Model
252. ICLR 2026DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively
253. ICLR 2026DeLeaker: Dynamic Inference-Time Reweighting For Semantic Leakage Mitigation in Text-to-Image Models
254. ICLR 2026DeLiVR: Differential Spatiotemporal Lie Bias for Efficient Video Deraining
255. ICLR 2026Delving into Spectral Clustering with Vision-Language Representations
256. ICLR 2026Demystifying Robot Diffusion Policies: Action Memorization and a Simple Lookup Table Alternative
257. ICLR 2026Demystifying Supervision Data Generalization in Multimodal LMs
258. ICLR 2026Densemarks: Learning Canonical Embeddings for Human Heads Images via Point Tracks
259. ICLR 2026DepthLM: Metric Depth from Vision Language Models
260. ICLR 2026DES-LOC: Desynced Low Communication Adaptive Optimizers for Foundation Models
261. ICLR 2026DESIGNER: Design-Logic-Guided Multidisciplinary Data Synthesis for LLM Reasoning
262. ICLR 2026Designing Affine-Invariant Neural Networks for Photometric Corruption Robustness and Generalization
263. ICLR 2026Detecting Data Contamination in LLMs via In-Context Learning
264. ICLR 2026Detecting Misbehaviors of Large Vision-Language Models by Evidential Uncertainty Quantification
265. ICLR 2026Detecting Temporal Misalignment Attacks in Multimodal Fusion for Autonomous Driving
266. ICLR 2026DiaBlo: Diagonal Blocks Are Sufficient For Finetuning
267. ICLR 2026Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning
268. ICLR 2026DiffAdapt: Difficulty-Adaptive Reasoning for Token-Efficient LLM Inference
269. ICLR 2026Differential Fine-Tuning Large Language Models Towards Better Diverse Reasoning Abilities
270. ICLR 2026Difficulty–Diversity Collaborative Filtering for Data-Efficient LLM Fine-Tuning
271. ICLR 2026Discern Truth from Falsehood: Reducing Over-Refusal via Contrastive Refinement
272. ICLR 2026Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving
273. ICLR 2026Discrete Latent Features Ablate Adversarial Attack: A Robust Prompt Tuning Framework for VLMs
274. ICLR 2026Disentangled Robot Learning via Separate Forward and Inverse Dynamics Pretraining
275. ICLR 2026Disentanglement of Variations with Multimodal Generative Modeling
276. ICLR 2026Disentangling Knowledge Representations for Large Language Model Editing
277. ICLR 2026Disrupting Hierarchical Reasoning: Adversarial Protection for Geographic Privacy in Multimodal Reasoning Models
278. ICLR 2026Distilling the Thought, Watermarking the Answer: A Principle Semantic Guided Watermark for Reasoning Large Language Models
279. ICLR 2026Distilling to Hybrid Attention Models via KL-Guided Layer Selection
280. ICLR 2026Distribution-Aware Multi-Granularity Phase Coding: Towards Lower Conversion Error for Spike-Driven Large Language Models
281. ICLR 2026Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence
282. ICLR 2026DIVA-GRPO: Enhancing Multimodal Reasoning through Difficulty-Adaptive Variant Advantage
283. ICLR 2026DiVE-k: DIFFERENTIAL VISUAL REASONING FOR FINE-GRAINED IMAGE RECOGNITION
284. ICLR 2026Diversity-Incentivized Exploration for Versatile Reasoning
285. ICLR 2026Divid: Disentangled Spatial-Temporal Modeling within LLMs for Temporally Grounded Video Understanding
286. ICLR 2026Divide, Harmonize, Then Conquer It: Shooting Multi-Commodity Flow Problems with Multimodal Language Models
287. ICLR 2026DMAP: A Distribution Map for Text
288. ICLR 2026DND: Boosting Large Language Models with Dynamic Nested Depth
289. ICLR 2026Do 3D Large Language Models Really Understand 3D Spatial Relationships?
290. ICLR 2026Do LLMs Forget What They Should? Evaluating In-Context Forgetting in Large Language Models
291. ICLR 2026Do Vision-Language Models Respect Contextual Integrity in Location Disclosure?
292. ICLR 2026Don’t Pass@$k$: A Bayesian Framework for Large Language Model Evaluation
293. ICLR 2026Don't Throw Away Your Beams: Improving Consistency-based Uncertainties in LLMs via Beam Search
294. ICLR 2026Don't Throw Away Your Pretrained Model
295. ICLR 2026DP-Fusion: Token-Level Differentially Private Inference for Large Language Models
296. ICLR 2026DPad: Efficient Diffusion Language Models with Suffix Dropout
297. ICLR 2026Dr.LLM: Dynamic Layer Routing in LLMs
298. ICLR 2026Draft-based Approximate Inference for LLMs
299. ICLR 2026Draw-In-Mind: Rebalancing Designer-Painter Roles in Unified Multimodal Models Benefits Image Editing
300. ICLR 2026DRBench: A Realistic Benchmark for Enterprise Deep Research

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.