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

1,401 papers, page 28 of 29

1351. ICLR 2026VoMP: Predicting Volumetric Mechanical Property Fields
1352. ICLR 2026VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool Use
1353. ICLR 2026VUDG: A Dataset for Video Understanding Domain Generalization
1354. ICLR 2026Vulcan: Crafting Compact Class-Specific Vision Transformers For Edge Intelligence
1355. ICLR 2026WAFT: Warping-Alone Field Transforms for Optical Flow
1356. ICLR 2026WAVE: Learning Unified & Versatile Audio-Visual Embeddings with Multimodal LLM
1357. ICLR 2026WavefrontDiffusion: Dynamic Decoding Schedule for Improved Reasoning
1358. ICLR 2026WebGen-Agent: Enhancing Interactive Website Generation with Multi-Level Feedback and Step-Level Reinforcement Learning
1359. ICLR 2026WebWatcher: Breaking New Frontiers of Vision-Language Deep Research Agent
1360. ICLR 2026Weight Decay may matter more than µP for Learning Rate Transfer in Practice
1361. ICLR 2026WeTok: Powerful Discrete Tokenization for High-Fidelity Visual Reconstruction
1362. ICLR 2026What "Not" to Detect: Negation-Aware VLMs via Structured Reasoning and Token Merging
1363. ICLR 2026What Layers When: Learning to Skip Compute in LLMs with Residual Gates
1364. ICLR 2026What Scales in Cross-Entropy Scaling Law?
1365. ICLR 2026What's the plan? Metrics for implicit planning in LLMs and their application to rhyme generation
1366. ICLR 2026Whatever Remains Must Be True: Filtering Drives Reasoning in LLMs, Shaping Diversity
1367. ICLR 2026When Foundation Models are One-Liners: Limitations and Future Directions for Time Series Anomaly Detection
1368. ICLR 2026When Language Models Lose Their Mind: The Consequences of Brain Misalignment
1369. ICLR 2026When Large Multimodal Models Confront Evolving Knowledge: Challenges and Explorations
1370. ICLR 2026When LLMs get significantly worse: A statistical approach to detect model degradations
1371. ICLR 2026When MLLMs Meets Compression Distortion: A Coding Paradigm Tailored to MLLMs
1372. ICLR 2026When Reasoning Meets Compression: Understanding the Effects of LLMs Compression on Large Reasoning Models
1373. ICLR 2026When to Ensemble: Identifying Token-Level Points for Stable and Fast LLM Ensembling
1374. ICLR 2026When Weak LLMs Speak with Confidence, Preference Alignment Gets Stronger
1375. ICLR 2026When would Vision-Proprioception Policies Fail in Robotic Manipulation?
1376. ICLR 2026Where Did This Sentence Come From? Tracing Provenance in LLM Reasoning Distillation
1377. ICLR 2026WholeBodyVLA: Towards Unified Latent VLA for Whole-body Loco-manipulation Control
1378. ICLR 2026Why Attention Patterns Exist: A Unifying Temporal Perspective Analysis
1379. ICLR 2026Why is Your Language Model a Poor Implicit Reward Model?
1380. ICLR 2026Why Keep Your Doubts to Yourself? Trading Visual Uncertainties in Multi-Agent Bandit Systems
1381. ICLR 2026Why Reinforcement Fine-Tuning Enables MLLMs Preserve Prior Knowledge Better: A Data Perspective
1382. ICLR 2026Wide-In, Narrow-Out: Revokable Decoding for Efficient and Effective DLLMs
1383. ICLR 2026Wiki-R1: Incentivizing Multimodal Reasoning for Knowledge-based VQA via Data and Sampling Curriculum
1384. ICLR 2026WIMFRIS: WIndow Mamba Fusion and Parameter Efficient Tuning for Referring Image Segmentation
1385. ICLR 2026WINA: Weight Informed Neuron Activation for Accelerating Large Language Model Inference
1386. ICLR 2026WMPO: World Model-based Policy Optimization for Vision-Language-Action Models
1387. ICLR 2026World2Minecraft: Occupancy-Driven simulated scenes Construction
1388. ICLR 2026WorldGym: World Model as An Environment for Policy Evaluation
1389. ICLR 2026WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs
1390. ICLR 2026WOW-Seg: A Word-free Open World Segmentation Model
1391. ICLR 2026WRING Out The Bias: A Rotation-Based Alternative To Projection Debiasing
1392. ICLR 2026WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-training
1393. ICLR 2026WSVD: Weighted Low-Rank Approximation for Fast and Efficient Execution of Low-Precision Vision-Language Models
1394. ICLR 2026X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model
1395. ICLR 2026XModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models
1396. ICLR 2026You Point, I Learn: Online Adaptation of Interactive Segmentation Models for Handling Distribution Shifts in Medical Imaging
1397. ICLR 2026YuE: Scaling Open Foundation Models for Long-Form Music Generation
1398. ICLR 2026Zebra-CoT: A Dataset for Interleaved Vision-Language Reasoning
1399. ICLR 2026Zero-shot HOI Detection with MLLM-based Detector-agnostic Interaction Recognition
1400. ICLR 2026Zeros can be Informative: Masked Binary U-Net for Image Segmentation on Tensor Cores

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.