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 11 of 54

501. ICLR 2026Histopathology-Genomics Multi-modal Structural Representation Learning for Data-Efficient Precision Oncology
502. ICLR 2026HiTeA: Hierarchical Temporal Alignment for Training-Free Long-Video Temporal Grounding
503. ICLR 2026HiVid: LLM-Guided Video Saliency For Content-Aware VOD And Live Streaming
504. ICLR 2026Holdout-Loss-Based Data Selection for LLM Finetuning via In-Context Learning
505. ICLR 2026Hourglass Persistence for Graphs, Simplices, and Cells
506. ICLR 2026Householder-Diagonalized Linear Attention (HDLA): Utilizing Enhanced Decay Mechanism for Efficient Sequence Modeling
507. ICLR 2026How Base Frequency Shapes RoPE: An Analytical Study of Frequency-Band Formation
508. ICLR 2026How Do Medical MLLMs Fail? A Study on Visual Grounding in Medical Images
509. ICLR 2026How Learning Rate Decay Wastes Your Best Data in Curriculum-Based LLM Pretraining
510. ICLR 2026How Reliable is Language Model Micro-Benchmarking?
511. ICLR 2026How Text Quality Interventions Reshape Neural Scaling Laws for LLMs: Empirical Study
512. ICLR 2026How to train data-efficient LLMs
513. ICLR 2026How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks
514. ICLR 2026HSSBench: Benchmarking Humanities and Social Sciences Ability for Multimodal Large Language Models
515. ICLR 2026Human Behavior Atlas: Benchmarking Unified Psychological And Social Behavior Understanding
516. ICLR 2026Human Uncertainty-Aware Data Selection and Automatic Labeling in Visual Question Answering
517. ICLR 2026Human-MME: A Holistic Evaluation Benchmark for Human-Centric Multimodal Large Language Models
518. ICLR 2026Human-Object Interaction via Automatically Designed VLM-Guided Motion Policy
519. ICLR 2026Hybrid Training for Vision-Language-Action Models
520. ICLR 2026HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs
521. ICLR 2026Ice Cream Doesn’t Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference
522. ICLR 2026IceCache: Memory-Efficient KV-cache Management for Long-Sequence LLMs
523. ICLR 2026ICPO: Provable and Practical In-Context Policy Optimization for Test-Time Scaling
524. ICLR 2026ICYM2I: The illusion of multimodal informativeness under missingness
525. ICLR 2026Identifying and Evaluating Inactive Heads in Pretrained LLMs
526. ICLR 2026Identifying Robust Neural Pathways: Few-Shot Adversarial Mask Tuning for Vision-Language Models
527. ICLR 2026IF-VidCap: Can Video Caption Models Follow Instructions?
528. ICLR 2026iLLaVA: An Image is Worth Fewer Than 1/3 Input Tokens in Large Multimodal Models
529. ICLR 2026Image is All You Need: Towards Efficient and Effective Large Language Model-Based Recommender Systems
530. ICLR 2026Image Quality Assessment for Embodied AI
531. ICLR 2026ImageDoctor: Diagnosing Text-to-Image Generation via Grounded Image Reasoning
532. ICLR 2026ImagenWorld: Stress-Testing Image Generation Models with Explainable Human Evaluation on Open-ended Real-World Tasks
533. ICLR 2026ImageRAG: Dynamic Image Retrieval for Reference-Guided Image Generation
534. ICLR 2026Imagine How To Change: Explicit Procedure Modeling for Change Captioning
535. ICLR 2026Imitating the Truth: Attention-aware Truth-Guided Enhancement for Hallucination Mitigation in Large Vision-Language Models
536. ICLR 2026Importance Sampling for Multi-Negative Multimodal Direct Preference Optimization
537. ICLR 2026Improving Block-Wise LLM Quantization by 4-bit Block-Wise Optimal Float (BOF4): Analysis and Variations
538. ICLR 2026In Good GRACES: Principled Teacher Selection for Knowledge Distillation
539. ICLR 2026In-Context Algorithm Emulation in Fixed-Weight Transformers
540. ICLR 2026In-Context Watermarks for Large Language Models
541. ICLR 2026In-Place Test-Time Training
542. ICLR 2026Incentivizing Consistent, Effective and Scalable Reasoning Capability in Audio LLMs via Reasoning Process Rewards
543. ICLR 2026InclusiveVidPose: Bridging the Pose Estimation Gap for Individuals with Limb Deficiencies in Video-Based Motion
544. ICLR 2026IndicVisionBench: Benchmarking Cultural and Multilingual Understanding in VLMs
545. ICLR 2026Inducing Dyslexia in Vision Language Models
546. ICLR 2026Inductive Reasoning for Temporal Knowledge Graphs with Emerging Entities
547. ICLR 2026Inference-Time Dynamic Modality Selection for Incomplete Multimodal Classification
548. ICLR 2026Inferring the Invisible: Neuro-Symbolic Rule Discovery for Missing Value Imputation
549. ICLR 2026Influence-Preserving Proxies for Gradient-Based Data Selection in LLM FineTuning
550. ICLR 2026InfoDet: A Dataset for Infographic Element Detection

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.