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 27 of 28

1301. NeurIPS 2026VistaQA: Benchmarking Joint Visual Question Answering and Pixel-Level Evidence
1302. NeurIPS 2026Visual Enhanced Depth Scaling for Multimodal Latent Reasoning
1303. NeurIPS 2026Visual Reinforcement Fine-Tuning via Bootstrapped Medical Reasoning
1304. NeurIPS 2026Visual Text Compression as Measure Transport
1305. NeurIPS 2026Visual-Redundancy-Controlled Parallel Decoding for Diffusion-Based Multimodal Large Language Models
1306. NeurIPS 2026ViT-AdaLA: Adapting Vision Transformers with Linear Attention
1307. NeurIPS 2026VL-DocIR: A Benchmark for Vision-Based Long Document Retrieval
1308. NeurIPS 2026VLA-REPLICA: A Low-Cost, Reproducible Benchmark for Real-World Evaluation of Vision-Language-Action Models
1309. NeurIPS 2026VLM$^3$: Vision Language Models Are Native 3D Learners
1310. NeurIPS 2026VLMs Trace Without Tracking: Diagnosing Failures in Visual Path Following
1311. NeurIPS 2026VLRS-Bench: A Vision-Language Reasoning Benchmark for Remote Sensing
1312. NeurIPS 2026VLSplat: Vision-Language Guided Object-Centric 3D Gaussian Splatting via Scene Graph
1313. NeurIPS 2026Voronoi-Markov chain and spatial entropy for point pattern analysis
1314. NeurIPS 2026Voxel as Token: A New Perspective for Zero-shot Cross-subject Vision Decoding
1315. NeurIPS 2026VSearcher: Long-Horizon Multimodal Search Agent via Reinforcement Learning
1316. NeurIPS 2026VSRo-200: A Romanian Visual Speech Recognition Dataset for Studying Supervision and Multimodal Robustness
1317. NeurIPS 2026VTBench: Disentangled and Human-Aligned Evaluation for Image-Based Virtual Try-on
1318. NeurIPS 2026VVTRec: Radio Interferometric Reconstruction through Visual and Textual Modality Enrichment
1319. NeurIPS 2026Wasserstein Gradient Flows and Forward-Only Diffusion Are Not Enough for Multimodal Sampling
1320. NeurIPS 2026Watching Itself Watch: Self-Auditing Visual Reliance for Video Reasoning
1321. NeurIPS 2026Weakly Supervised Concept Learning for Interpreting and Attributing LVLM Predictions
1322. NeurIPS 2026WebSpatial: A Benchmarking Framework of Spatial Intelligence via Web-based Runtime Environments
1323. NeurIPS 2026What DNA Foundation Models Learn Beyond Sequence Composition
1324. NeurIPS 2026What Drives Test-Time Adaptation for CLIP? A Controlled Empirical Study from an Update Perspective
1325. NeurIPS 2026What MLLMs Learn about When they Learn about Multimodal Reasoning
1326. NeurIPS 2026What Should a Streaming Video Model Remember?
1327. NeurIPS 2026What Sketches Tell Us about LVLMs: Conventions, Grounding, and Localisation
1328. NeurIPS 2026What Stops SGD on LLM Pre-Training: The Need for Large Learning Rate and How to Achieve it
1329. NeurIPS 2026What to Perturb, How to Propagate: A Graph-Guided Transferable Attack on VLP Models
1330. NeurIPS 2026What’s Holding Back Latent Visual Reasoning?
1331. NeurIPS 2026When a Zero-Shooter Cheats: Improving Age Estimation via Activation Steering
1332. NeurIPS 2026When and What to Prune? Stage-Aware Visual Token Pruning for Efficient VLA
1333. NeurIPS 2026When Attention Closes: How LLMs Lose the Thread in Multi-Turn Interaction
1334. NeurIPS 2026When Copying Is Hard: Copy-Constrained Decoding for Exact Span Reproduction
1335. NeurIPS 2026When Depth Lies: Benchmarking Vision-Language Models on Mirror-Induced RGB-D Ambiguity
1336. NeurIPS 2026When Do Cosine Prototypes Mislead? A Whitening-Aware Benchmark for Frozen-Feature Image Classification
1337. NeurIPS 2026When Language Overrules: Revealing Text Dominance in Multimodal Large Language Models
1338. NeurIPS 2026When LLMs Know but Fail to Reason: Injecting Memory for Reasoning Enhancement
1339. NeurIPS 2026When Medical VLMs Stop Understanding: MedTEC-Bench for Probing Semantic Specificity
1340. NeurIPS 2026When Metropolis and Hastings Meet Bradley and Terry: Exact MCMC From Preference Voting
1341. NeurIPS 2026When Noise Meets Long-Tail: Feature-Threshold Dual Calibration for Robust Pseudo-Labeling
1342. NeurIPS 2026When Should LLMs Be Less Specific? Selective Abstraction for Reliable Long-Form Text Generation
1343. NeurIPS 2026When Think-with-Image Meets Safety: What Determines Multimodal Jailbreak Robustness?
1344. NeurIPS 2026When to Inject the Target: Stage-Decoupled Guidance for Diffusion-Based Targeted Adversarial Attacks
1345. NeurIPS 2026When Transcriptomic Foundation Models Scale: Domain-Focused Pretraining for Drug Development in Immunology and Inflammation
1346. NeurIPS 2026Where Are MLLMs Looking When They Hallucinate? Mitigating Visual Hallucination via Gaze Steering
1347. NeurIPS 2026Where Reusable Computation Becomes Detectable: Solution-Frame Path Triage for Modular-Arithmetic Grokking
1348. NeurIPS 2026Where to Approximate in Neurosymbolic Inference?
1349. NeurIPS 2026Which Way Did It Move? Diagnosing and Overcoming Directional Motion Blindness in Video LLMs
1350. NeurIPS 2026Who Called? V33DA: A Physically Verified Multimodal Benchmark for Vocal Attribution in Zebra Finch Groups

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.