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

1,366 papers, page 12 of 28

551. NeurIPS 2026H2G: Hierarchy-Aware Hyperbolic Grouping for 3D Scenes
552. NeurIPS 2026Hallucination as Commitment Failure: Larger LLMs Misfire Despite Knowing the Answer
553. NeurIPS 2026HalluciText: Mitigating Text Hallucinations in Diffusion-Based Image Restoration
554. NeurIPS 2026HandEdit: A Unified Benchmark for Egocentric Human-to-Robot Dexterous Hand Image Editing
555. NeurIPS 2026HandXFM: Semantic-Structural Distillation for Hand Radiograph Foundation Models
556. NeurIPS 2026HAPACT: A Benchmark For Human-Centric Physical Impact Localization in Movies
557. NeurIPS 2026Harder the Task, Sparser the Representation: Sparsity as a Learning Signature of Capability in LLMs
558. NeurIPS 2026Harmonic Torsional Diffusion for Flexible Protein-Ligand Docking
559. NeurIPS 2026Harnessing Image Diffusion Prior for Photo-Realistic Video Restoration
560. NeurIPS 2026Harnessing Textual Refusal Directions for Multimodal Safety
561. NeurIPS 2026Hear, Localize, and Reason: Spatially Aware Scene Understanding for Audio-visual LLMs
562. NeurIPS 2026HearSayBench: Can LLMs Navigate from Abstract Human Rights to Lived Lives?
563. NeurIPS 2026HEED: Density-Weighted Residual Alignment for Hybrid Vision-Language Model Distillation
564. NeurIPS 2026HelpBench: Assessing the Ability of LLMs to Provide Privacy, Safety, and Security Advice
565. NeurIPS 2026HESTIA: A Hessian-Guided Differentiable Quantization-Aware Training Framework for Extremely Low-Bit LLMs
566. NeurIPS 2026Heterogeneous Parallelism for Multimodal Large Language Model Training
567. NeurIPS 2026Hidden Forgetting in Continual Multimodal Learning: When Accuracy Survives but Grounding Fails
568. NeurIPS 2026Hide to See: Reasoning-prefix Masking for Visual-anchored Thinking in VLM Distillation
569. NeurIPS 2026Hide-and-Seek in Trajectories: Discovering Failure Signals for VLA Runtime Monitoring
570. NeurIPS 2026Hider–Seeker Self-Play: Geometry-Verifiable Process Rewards for Long-Horizon Visual Search
571. NeurIPS 2026Hierarchical Adaptive Frame Sampling For Video Understanding
572. NeurIPS 2026Hierarchical Cross-Class Part Alignment for Prototypical Part Networks via Hyperbolic Entailment
573. NeurIPS 2026Hierarchical Semantic Tree Anchoring for CLIP-Based Class-Incremental Learning
574. NeurIPS 2026HIFC-IQA: Train-Free Cross-Domain Image Quality Assessment via Dual-Process Cognition
575. NeurIPS 2026HiFloat4 Format for Language Model Pre-training on Ascend NPUs
576. NeurIPS 2026HiLoc: A Hierarchical Representation Method for Spatial Localization in Multimodal Large Language Models
577. NeurIPS 2026HIMMEL: Hierarchical Interleaved Multi-stream Motion Encoding for Long Video Understanding
578. NeurIPS 2026HOMIE: Human-object Centric Video Personalization via Multimodal Intelligent Enhancement
579. NeurIPS 2026HopChain: Multi-Hop Data Synthesis for Generalizable Vision-Language Reasoning
580. NeurIPS 2026HOPE: Hand-Object Pressure Estimation from Monocular Videos
581. NeurIPS 2026How Deep Are Deep GPs, Really? A Sharp Threshold and a Non-Gaussian Limit for Compositional GPs
582. NeurIPS 2026How Does Pruning Change Decisions in Large Language Models?
583. NeurIPS 2026How Far Are VLMs from Privacy Awareness in the Physical World? An Empirical Study
584. NeurIPS 2026How Much is Left? LLMs Linearly Encode Their Remaining Output Length
585. NeurIPS 2026How Much of a Model Do We Need? Redundancy and Slimmability in Remote Sensing Foundation Models
586. NeurIPS 2026How Private is Private? A Comparative Study for Face De-Identification
587. NeurIPS 2026How to Instruct Your Robot: Dense Language Annotations Power Robot Policy Learning
588. NeurIPS 2026How You Move Tells What You'll Do: Trajectory-Conditioned Egocentric Prediction
589. NeurIPS 2026HPC-Bench: A Comprehensive Benchmark for High Performance Computing Codes
590. NeurIPS 2026HRIL: Isolating Multimodal Synergy via Higher-Order Dependence
591. NeurIPS 2026Humanoid Horizon: Extending Task Horizon in Whole-Body Loco-Manipulation via Parallel Training, Dynamic Starting, and Reward Gating
592. NeurIPS 2026HybridCache: Enhancing Prefix Caching for Linear–Softmax Language Models
593. NeurIPS 2026Hyper Input Convex Neural Networks for Shape Constrained Learning and Optimal Transport
594. NeurIPS 2026Hyperbolic Displacement-Constrained Adaptation for CLIP-Based Class-Incremental Learning
595. NeurIPS 2026Hypernetworks for Dynamic Feature Selection
596. NeurIPS 2026HyperTransport: Amortized Conditioning of T2I Generative Models
597. NeurIPS 2026HyperVAttention: Efficient Sparse Attention with Spatio-Temporal Clustering for Video Diffusion
598. NeurIPS 2026HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression
599. NeurIPS 2026HyrCap: Hybrid Rank-Calibration of Action Proposals for Temporal Event Understanding
600. NeurIPS 2026i-DEQ: A stable inertial Deep Equilibrium model for image restoration

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.