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 8 of 67

351. NeurIPS 2026Diving-R1: Empowering Multimodal LLMs with Traceable Progressive Reasoning for Interpretable Diving Action Quality Assessment
352. NeurIPS 2026DMax: Aggressive Parallel Decoding for dLLMs
353. NeurIPS 2026Do Composed Image Retrieval Benchmarks Require Multimodal Composition?
354. NeurIPS 2026Do LLMs Bind Episodes? Probing Cross-Episode Parametric Retrieval Through Shared Cues
355. NeurIPS 2026Do LLMs Feel Social Pressure? Locating and Steering Social Desirability Bias in LLMs
356. NeurIPS 2026Do More Modalities Always Help? A Geometric Perspective on Missing-Modality Robustness
357. NeurIPS 2026Do multimodal models imagine electric sheep?
358. NeurIPS 2026Do Reasoning LLMs Refuse What They Infer in Long Contexts?
359. NeurIPS 2026Do Robust LVLMs Hallucinate More? Uncovering Robustness-Induced Hallucination in Large Vision-Language Models
360. NeurIPS 2026Do You CARE to Generalize? Extracting Robust Concept Directions from LLMs
361. NeurIPS 2026DocScope: Benchmarking Verifiable Reasoning for Trustworthy Long-Document Understanding
362. NeurIPS 2026Dodge-It: Learning Collision-Aware VLA Models for Robotic Manipulation
363. NeurIPS 2026Does Mixed Label Imbalance Matter to Minority Collapse in Imbalanced Learning?
364. NeurIPS 2026Does Your Large Language Model Have An Intuitive Sense of The Difficulty of A Question?
365. NeurIPS 2026Dominant-Layer ZO: A Single Layer Dominates Zeroth-Order Fine-Tuning of LLMs
366. NeurIPS 2026Doomed to Re-Annotate, Forever: The ImageNet Story
367. NeurIPS 2026DPA: Decentralized Primal Averaging with Quasi-Global Momentum for Highly Heterogeneous Data
368. NeurIPS 2026DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy
369. NeurIPS 2026Drag as Evidence: Motion-Grounded Latent Recomposition for Drag-Based Editing
370. NeurIPS 2026DRAGON : A Benchmark for Evidence-Grounded Visual Reasoning over Diagrams
371. NeurIPS 2026Drift-Aware Multimodal User Representation Learning via Multi-Scale Temporal Modeling and Sparse Mixture-of-Experts
372. NeurIPS 2026DRILL: Training World Models to Improve Policies, Not Predict Pixels
373. NeurIPS 2026DriveDreamer-Policy: A Geometry-Grounded World-Action Model for Unified Generation and Planning
374. NeurIPS 2026DriveMind: Mind-Evolving Belief Tracking for Closed-Loop Autonomous Driving
375. NeurIPS 2026DriveSpatial: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving
376. NeurIPS 2026DriveStreamBench: Evaluating User-Conditioned Watch-and-Notify in Streaming Driving Video
377. NeurIPS 2026DriveWAM: Video Generative Priors Enable Scalable World-Action Modeling for Autonomous Driving
378. NeurIPS 2026Driving Video Retrieval for Complex Queries with Structured Grounding
379. NeurIPS 2026DropKV: Decoupling Residual-Output Perturbation for Near-Optimal KV-Cache Eviction
380. NeurIPS 2026DRScaffold: Boosting Dense-Scene Reasoning in Lightweight Vision Language Models
381. NeurIPS 2026Dual Dimensionality for Local and Global Attention
382. NeurIPS 2026Dual-Space Preconditioning for Variational Inequalities and Root-Finding Problems
383. NeurIPS 2026DualWorldBench: Can Agents Plan Deliveries across Symbolic and Grounded Worlds?
384. NeurIPS 2026Dynamic Cross-Modal Prompt Generation for Multimodal Continual Instruction Tuning
385. NeurIPS 2026Dynamic Model Merging Made Slim
386. NeurIPS 2026Dynamic Regulatory Graph Learning for Histology-to-Spatial Transcriptomics
387. NeurIPS 2026Dynamic Resolution Routing for Efficient Egocentric Grounding
388. NeurIPS 2026Dynamics-Aware Sparse Attention for Efficient Autoregressive Video Diffusion
389. NeurIPS 2026DynamicVLA: A Vision-Language-Action Model for Dynamic Object Manipulation
390. NeurIPS 2026DynaProto: Dynamic Prototypical Contrast for Temporally Consistent Object-Centric Learning
391. NeurIPS 2026E0: Expressive Fine-Grained Discrete Action Prediction for Vision-Language-Action Models via Tweedie Discrete Diffusion
392. NeurIPS 2026EasyLens: A Training-Free Plug-and-Play Subtle-Lesion Representation Amplifier for Medical Vision-Language Models
393. NeurIPS 2026ECG-Reasoning-Benchmark: A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation
394. NeurIPS 2026EchoXFlow: A Beamspace Echocardiography Dataset for Cardiac Motion, Flow, and Function
395. NeurIPS 2026Edit-R2: Context-Aware Reinforcement Learning for Multi-Turn Image Editing
396. NeurIPS 2026EditJudge-Bench: Auditing VLM Image-Edit Judges with Synthetic Ground Truth
397. NeurIPS 2026EDMA: Entropy-Driven Multimodal Answering
398. NeurIPS 2026EEG-X: Toward Device-Agnostic and Noise-Robust Foundation Models for EEG
399. NeurIPS 2026Efficient and Robust Physical 3DGS-MPM Simulation via Interior Filling and Text-Physics Optimization
400. NeurIPS 2026Efficient Image Synthesis with Sphere Latent Encoder

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.