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

446 papers, page 8 of 9

351. NeurIPS 2024StreamFlow: Streamlined Multi-Frame Optical Flow Estimation for Video Sequences
352. NeurIPS 2024Streaming Detection of Queried Event Start
353. NeurIPS 2024Streaming Long Video Understanding with Large Language Models
354. NeurIPS 2024SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations
355. NeurIPS 2024SuperVLAD: Compact and Robust Image Descriptors for Visual Place Recognition
356. NeurIPS 2024SurgicAI: A Fine-grained Platform for Data Collection and Benchmarking in Surgical Policy Learning
357. NeurIPS 2024T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition
358. NeurIPS 2024TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy
359. NeurIPS 2024TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools
360. NeurIPS 2024TAPVid-3D: A Benchmark for Tracking Any Point in 3D
361. NeurIPS 2024Task Me Anything
362. NeurIPS 2024Testing Semantic Importance via Betting
363. NeurIPS 2024Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models
364. NeurIPS 2024Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection
365. NeurIPS 2024The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
366. NeurIPS 2024The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data
367. NeurIPS 2024Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting
368. NeurIPS 2024Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis
369. NeurIPS 2024TOPA: Extending Large Language Models for Video Understanding via Text-Only Pre-Alignment
370. NeurIPS 2024TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
371. NeurIPS 2024Toward a Stable, Fair, and Comprehensive Evaluation of Object Hallucination in Large Vision-Language Models
372. NeurIPS 2024Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
373. NeurIPS 2024Towards Calibrated Robust Fine-Tuning of Vision-Language Models
374. NeurIPS 2024Towards Flexible Visual Relationship Segmentation
375. NeurIPS 2024Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels
376. NeurIPS 2024Towards Robust Multimodal Sentiment Analysis with Incomplete Data
377. NeurIPS 2024Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration
378. NeurIPS 2024TPR: Topology-Preserving Reservoirs for Generalized Zero-Shot Learning
379. NeurIPS 2024Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts
380. NeurIPS 2024TransAgent: Transfer Vision-Language Foundation Models with Heterogeneous Agent Collaboration
381. NeurIPS 2024TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives
382. NeurIPS 2024UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training
383. NeurIPS 2024UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models
384. NeurIPS 2024Understanding Information Storage and Transfer in Multi-Modal Large Language Models
385. NeurIPS 2024UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling
386. NeurIPS 2024Unified Generative and Discriminative Training for Multi-modal Large Language Models
387. NeurIPS 2024UNIT: Unifying Image and Text Recognition in One Vision Encoder
388. NeurIPS 2024Unity by Diversity: Improved Representation Learning for Multimodal VAEs
389. NeurIPS 2024Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation
390. NeurIPS 2024Unraveling Molecular Structure: A Multimodal Spectroscopic Dataset for Chemistry
391. NeurIPS 2024Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization
392. NeurIPS 2024Unveiling Encoder-Free Vision-Language Models
393. NeurIPS 2024Unveiling the Tapestry of Consistency in Large Vision-Language Models
394. NeurIPS 2024UPS: Unified Projection Sharing for Lightweight Single-Image Super-resolution and Beyond
395. NeurIPS 2024UrbanDataLayer: A Unified Data Pipeline for Urban Science
396. NeurIPS 2024USCILab3D: A Large-scale, Long-term, Semantically Annotated Outdoor Dataset
397. NeurIPS 2024Value Imprint: A Technique for Auditing the Human Values Embedded in RLHF Datasets
398. NeurIPS 2024VastTrack: Vast Category Visual Object Tracking
399. NeurIPS 2024VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding
400. NeurIPS 2024VHELM: A Holistic Evaluation of Vision Language Models

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.