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

2,676 papers, page 45 of 54

2201. ICLR 2025What Makes a Maze Look Like a Maze?
2202. ICLR 2025What to align in multimodal contrastive learning?
2203. ICLR 2025When Attention Sink Emerges in Language Models: An Empirical View
2204. ICLR 2025When Prompt Engineering Meets Software Engineering: CNL-P as Natural and Robust "APIs'' for Human-AI Interaction
2205. ICLR 2025Where Am I and What Will I See: An Auto-Regressive Model for Spatial Localization and View Prediction
2206. ICLR 2025Why Does the Effective Context Length of LLMs Fall Short?
2207. ICLR 2025WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild
2208. ICLR 2025WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
2209. ICLR 2025X-Fi: A Modality-Invariant Foundation Model for Multimodal Human Sensing
2210. ICLR 2025xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation
2211. ICLR 2025YOLO-RD: Introducing Relevant and Compact Explicit Knowledge to YOLO by Retriever-Dictionary
2212. ICLR 2025You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning
2213. ICLR 2025Your Mixture-of-Experts LLM Is Secretly an Embedding Model for Free
2214. ICLR 2025Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity
2215. ICLR 2025ZETA: Leveraging $Z$-order Curves for Efficient Top-$k$ Attention
2216. ICLR 2025ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models
2217. ICLR 2025ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs
2218. ICLR 2024#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models
2219. ICLR 2024$\mathbb{D}^2$ Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning
2220. ICLR 20243D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation
2221. ICLR 2024A Benchmark for Learning to Translate a New Language from One Grammar Book
2222. ICLR 2024A Foundation Model for Error Correction Codes
2223. ICLR 2024A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models
2224. ICLR 2024A Semantic Invariant Robust Watermark for Large Language Models
2225. ICLR 2024A Simple and Effective Pruning Approach for Large Language Models
2226. ICLR 2024A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis
2227. ICLR 2024A unique M-pattern for micro-expression spotting in long videos
2228. ICLR 2024Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers
2229. ICLR 2024Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models
2230. ICLR 2024Adaptive Window Pruning for Efficient Local Motion Deblurring
2231. ICLR 2024Adversarial AutoMixup
2232. ICLR 2024AffineQuant: Affine Transformation Quantization for Large Language Models
2233. ICLR 2024AlpaGasus: Training a Better Alpaca with Fewer Data
2234. ICLR 2024Alt-Text with Context: Improving Accessibility for Images on Twitter
2235. ICLR 2024An Extensible Framework for Open Heterogeneous Collaborative Perception
2236. ICLR 2024An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models
2237. ICLR 2024An interpretable error correction method for enhancing code-to-code translation
2238. ICLR 2024An Intuitive Multi-Frequency Feature Representation for SO(3)-Equivariant Networks
2239. ICLR 2024An Unforgeable Publicly Verifiable Watermark for Large Language Models
2240. ICLR 2024Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
2241. ICLR 2024AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
2242. ICLR 2024AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
2243. ICLR 2024ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference
2244. ICLR 2024At Which Training Stage Does Code Data Help LLMs Reasoning?
2245. ICLR 2024BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation
2246. ICLR 2024Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering
2247. ICLR 2024Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning
2248. ICLR 2024Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs
2249. ICLR 2024Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World
2250. ICLR 2024BooookScore: A systematic exploration of book-length summarization in the era of 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.