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 47 of 67

2301. NeurIPS 2025Towards Fully FP8 GEMM LLM Training at Scale
2302. NeurIPS 2025Towards General Continuous Memory for Vision-Language Models
2303. NeurIPS 2025Towards Generalizable Detector for Generated Image
2304. NeurIPS 2025Towards Implicit Aggregation: Robust Image Representation for Place Recognition in the Transformer Era
2305. NeurIPS 2025Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration
2306. NeurIPS 2025Towards Physics-informed Spatial Intelligence with Human Priors: An Autonomous Driving Pilot Study
2307. NeurIPS 2025Towards Reliable LLM-based Robots Planning via Combined Uncertainty Estimation
2308. NeurIPS 2025Towards Robust Uncertainty Calibration for Composed Image Retrieval
2309. NeurIPS 2025Towards Self-Refinement of Vision-Language Models with Triangular Consistency
2310. NeurIPS 2025Towards Understanding Camera Motions in Any Video
2311. NeurIPS 2025Towards Unified Multimodal Interleaved Generation via Group Relative Policy Optimization
2312. NeurIPS 2025ToxicTextCLIP: Text-Based Poisoning and Backdoor Attacks on CLIP Pre-training
2313. NeurIPS 2025TP-MDDN: Task-Preferenced Multi-Demand-Driven Navigation with Autonomous Decision-Making
2314. NeurIPS 2025TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval
2315. NeurIPS 2025Track3R: Joint Point Map and Trajectory Prior for Spatiotemporal 3D Understanding
2316. NeurIPS 2025Training-free Online Video Step Grounding
2317. NeurIPS 2025Training-Free Test-Time Adaptation via Shape and Style Guidance for Vision-Language Models
2318. NeurIPS 2025Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties
2319. NeurIPS 2025Transferring Linear Features Across Language Models With Model Stitching
2320. NeurIPS 2025Transforming Generic Coder LLMs to Effective Binary Code Embedding Models for Similarity Detection
2321. NeurIPS 2025Transition Matching: Scalable and Flexible Generative Modeling
2322. NeurIPS 2025TRAP: Targeted Redirecting of Agentic Preferences
2323. NeurIPS 2025Tri-MARF: A Tri-Modal Multi-Agent Responsive Framework for Comprehensive 3D Object Annotation
2324. NeurIPS 2025TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence
2325. NeurIPS 2025Triplets Better Than Pairs: Towards Stable and Effective Self-Play Fine-Tuning for LLMs
2326. NeurIPS 2025TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models
2327. NeurIPS 2025Truthful Aggregation of LLMs with an Application to Online Advertising
2328. NeurIPS 2025Two Causally Related Needles in a Video Haystack
2329. NeurIPS 2025Týr-the-Pruner: Structural Pruning LLMs via Global Sparsity Distribution Optimization
2330. NeurIPS 2025UAV-Flow Colosseo: A Real-World Benchmark for Flying-on-a-Word UAV Imitation Learning
2331. NeurIPS 2025UFO: A Unified Approach to Fine-grained Visual Perception via Open-ended Language Interface
2332. NeurIPS 2025UMU-Bench: Closing the Modality Gap in Multimodal Unlearning Evaluation
2333. NeurIPS 2025un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP
2334. NeurIPS 2025Unbiased Sliced Wasserstein Kernels for High-Quality Audio Captioning
2335. NeurIPS 2025Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Video Temporal Grounding
2336. NeurIPS 2025Understanding and Rectifying Safety Perception Distortion in VLMs
2337. NeurIPS 2025Understanding the Gain from Data Filtering in Multimodal Contrastive Learning
2338. NeurIPS 2025Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression Recognition
2339. NeurIPS 2025UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens
2340. NeurIPS 2025Unified Reinforcement and Imitation Learning for Vision-Language Models
2341. NeurIPS 2025Unified Transferability Metrics for Time Series Foundation Models
2342. NeurIPS 2025UniGen: Enhanced Training & Test-Time Strategies for Unified Multimodal Understanding and Generation
2343. NeurIPS 2025UniLumos: Fast and Unified Image and Video Relighting with Physics-Plausible Feedback
2344. NeurIPS 2025UniPixel: Unified Object Referring and Segmentation for Pixel-Level Visual Reasoning
2345. NeurIPS 2025UniTok: a Unified Tokenizer for Visual Generation and Understanding
2346. NeurIPS 2025UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces
2347. NeurIPS 2025Universal Video Temporal Grounding with Generative Multi-modal Large Language Models
2348. NeurIPS 2025Universal Visuo-Tactile Video Understanding for Embodied Interaction
2349. NeurIPS 2025UniViT: Unifying Image and Video Understanding in One Vision Encoder
2350. NeurIPS 2025Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs

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.