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

390 papers, page 7 of 8

301. ICML 2025Sample Efficient Demonstration Selection for In-Context Learning
302. ICML 2025SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model's Parameter-Efficient Fine-Tuning
303. ICML 2025Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More
304. ICML 2025Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation
305. ICML 2025SECOND: Mitigating Perceptual Hallucination in Vision-Language Models via Selective and Contrastive Decoding
306. ICML 2025SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning
307. ICML 2025Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation
308. ICML 2025Selective Prompt Anchoring for Code Generation
309. ICML 2025Self-Organizing Visual Prototypes for Non-Parametric Representation Learning
310. ICML 2025Self-Supervised Learning of Intertwined Content and Positional Features for Object Detection
311. ICML 2025Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning
312. ICML 2025SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models
313. ICML 2025SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
314. ICML 2025ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference
315. ICML 2025SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs
316. ICML 2025SlimLLM: Accurate Structured Pruning for Large Language Models
317. ICML 2025Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration
318. ICML 2025Softmax is not Enough (for Sharp Size Generalisation)
319. ICML 2025SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
320. ICML 2025SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs
321. ICML 2025SPEX: Scaling Feature Interaction Explanations for LLMs
322. ICML 2025Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection
323. ICML 2025Stochastic Layer-Wise Shuffle for Improving Vision Mamba Training
324. ICML 2025Streamline Without Sacrifice - Squeeze out Computation Redundancy in LMM
325. ICML 2025Subobject-level Image Tokenization
326. ICML 2025Surrogate Prompt Learning: Towards Efficient and Diverse Prompt Learning for Vision-Language Models
327. ICML 2025SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?
328. ICML 2025Synonymous Variational Inference for Perceptual Image Compression
329. ICML 2025TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems
330. ICML 2025Taming Rectified Flow for Inversion and Editing
331. ICML 2025Targeted Unlearning with Single Layer Unlearning Gradient
332. ICML 2025Teaching Physical Awareness to LLMs through Sounds
333. ICML 2025Test-Time Adaptation for Online Vision-Language Navigation with Feedback-based Reinforcement Learning
334. ICML 2025Test-Time Canonicalization by Foundation Models for Robust Perception
335. ICML 2025Test-Time Multimodal Backdoor Detection by Contrastive Prompting
336. ICML 2025Testing the Limits of Fine-Tuning for Improving Visual Cognition in Vision Language Models
337. ICML 2025TextCenGen: Attention-Guided Text-Centric Background Adaptation for Text-to-Image Generation
338. ICML 2025Textural or Textual: How Vision-Language Models Read Text in Images
339. ICML 2025The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models
340. ICML 2025The Hidden Joules: Evaluating the Energy Consumption of Vision Backbones for Progress Towards More Efficient Model Inference
341. ICML 2025The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models Via Visual Information Steering
342. ICML 2025The Role of Sparsity for Length Generalization in LLMs
343. ICML 2025Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
344. ICML 2025TinyMIG: Transferring Generalization from Vision Foundation Models to Single-Domain Medical Imaging
345. ICML 2025Tool Unlearning for Tool-Augmented LLMs
346. ICML 2025Topological Signatures of Adversaries in Multimodal Alignments
347. ICML 2025Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage
348. ICML 2025Towards Better-than-2 Approximation for Constrained Correlation Clustering
349. ICML 2025Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning
350. ICML 2025Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration

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.