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

5,190 papers, page 89 of 104

4401. NeurIPS 2026HIMMEL: Hierarchical Interleaved Multi-stream Motion Encoding for Long Video Understanding
4402. NeurIPS 2026HOMIE: Human-object Centric Video Personalization via Multimodal Intelligent Enhancement
4403. NeurIPS 2026HopChain: Multi-Hop Data Synthesis for Generalizable Vision-Language Reasoning
4404. NeurIPS 2026HOPE: Hand-Object Pressure Estimation from Monocular Videos
4405. NeurIPS 2026How Deep Are Deep GPs, Really? A Sharp Threshold and a Non-Gaussian Limit for Compositional GPs
4406. NeurIPS 2026How Does Pruning Change Decisions in Large Language Models?
4407. NeurIPS 2026How Far Are VLMs from Privacy Awareness in the Physical World? An Empirical Study
4408. NeurIPS 2026How Much is Left? LLMs Linearly Encode Their Remaining Output Length
4409. NeurIPS 2026How Much of a Model Do We Need? Redundancy and Slimmability in Remote Sensing Foundation Models
4410. NeurIPS 2026How Private is Private? A Comparative Study for Face De-Identification
4411. NeurIPS 2026How to Instruct Your Robot: Dense Language Annotations Power Robot Policy Learning
4412. NeurIPS 2026How You Move Tells What You'll Do: Trajectory-Conditioned Egocentric Prediction
4413. NeurIPS 2026HPC-Bench: A Comprehensive Benchmark for High Performance Computing Codes
4414. NeurIPS 2026HRIL: Isolating Multimodal Synergy via Higher-Order Dependence
4415. NeurIPS 2026Humanoid Horizon: Extending Task Horizon in Whole-Body Loco-Manipulation via Parallel Training, Dynamic Starting, and Reward Gating
4416. NeurIPS 2026HybridCache: Enhancing Prefix Caching for Linear–Softmax Language Models
4417. NeurIPS 2026Hyper Input Convex Neural Networks for Shape Constrained Learning and Optimal Transport
4418. NeurIPS 2026Hyperbolic Displacement-Constrained Adaptation for CLIP-Based Class-Incremental Learning
4419. NeurIPS 2026Hypernetworks for Dynamic Feature Selection
4420. NeurIPS 2026HyperTransport: Amortized Conditioning of T2I Generative Models
4421. NeurIPS 2026HyperVAttention: Efficient Sparse Attention with Spatio-Temporal Clustering for Video Diffusion
4422. NeurIPS 2026HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression
4423. NeurIPS 2026HyrCap: Hybrid Rank-Calibration of Action Proposals for Temporal Event Understanding
4424. NeurIPS 2026i-DEQ: A stable inertial Deep Equilibrium model for image restoration
4425. NeurIPS 2026I-Perceive: A Foundation Model for Vision-Language Active Perception
4426. NeurIPS 2026IDEAFix: Evaluation Framework for Creative Defixation Prompting in LLMs
4427. NeurIPS 2026IGGT4D: Streaming 4D Instance-Grounded Geometry Transformer
4428. NeurIPS 2026Illusory Pattern Perception Drives Spurious Inference in Large Language Models
4429. NeurIPS 2026ImmuVis: Hyperconvolutional Foundation Models for Imaging Mass Cytometry
4430. NeurIPS 2026Improving Diffusion Posterior Samplers with Lagged Temporal Corrections for Image Restoration
4431. NeurIPS 2026Improving Guidance-Free Visual Generation via Self-Contrastive Alignment for Likelihood Estimation
4432. NeurIPS 2026Improving Self-Supervised Vision Transformers with Cross Distillation
4433. NeurIPS 2026In STeP: Speculative Tensor Parallelism for Concurrent Heterogeneous Inference of LLMs
4434. NeurIPS 2026In-Context Learning Can Help Vision Language Models Overcome Training Prior
4435. NeurIPS 2026Incentivizing Medical Vision Capabilities from Large-Scale Multimodal Pre-training
4436. NeurIPS 2026InduceKV: Fixed-Footprint Continual Adaptation of Multimodal LLMs via Inducing KV Memories
4437. NeurIPS 2026InfiniteVL: A Systematic Approach to Highly-Efficient, Ultra-Long Multimodal Understanding
4438. NeurIPS 2026InfoNav: A Unified Value Framework Integrating Semantic Relevance and Information Gain for Zero-Shot Object Goal Navigation
4439. NeurIPS 2026INFUSER: Influence-Guided Self-Evolution Improves Reasoning
4440. NeurIPS 2026Inline Critic Steers Image Editing
4441. NeurIPS 2026Innocuous-Seeming Data, Latent Ideology: Ideological Generalisation in Finetuned LLMs
4442. NeurIPS 2026Instruct-Particulate: Scaling Feed-Forward 3D Object Articulation with Kinematic Control
4443. NeurIPS 2026InstructVVT: Instruction-Driven Video Virtual Try-On without Auxiliary Spatial Priors
4444. NeurIPS 2026Integrating digital twins with randomized experiments
4445. NeurIPS 2026Integrating Local and Global Entropy for Uncertainty Quantification in LLMs
4446. NeurIPS 2026IntegrityBench: Can LLMs Be Trusted as Co-Scientists? A Research Integrity Benchmark
4447. NeurIPS 2026Intend, Reflect, Refine: An Adaptive Multimodal Reflection Framework for Autonomous Driving
4448. NeurIPS 2026IntentLens: Grounding Underspecified Multimodal Queries for Recommendation via Tool-Augmented Reasoning
4449. NeurIPS 2026Interleaved Latent Thinking and Adaptive Termination for Efficient Reasoning LLMs
4450. NeurIPS 2026Internalize External Competence for Visual Instruction Editing

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.