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 53 of 104

2601. ICLR 2026Tracing and Reversing Edits in LLMs
2602. ICLR 2026Train Once, Answer All: Many Pretraining Experiments for the Cost of One
2603. ICLR 2026Train-before-Test Harmonizes Language Model Rankings
2604. ICLR 2026Trained on Tokens, Calibrated on Concepts: The Emergence of Semantic Calibration in LLMs
2605. ICLR 2026Training-Free Loosely Speculative Decoding: Accepting Semantically Correct Drafts Beyond Exact Match
2606. ICLR 2026Trajectory-aware Shifted State Space Models for Online Video Super-Resolution
2607. ICLR 2026Transducing Language Models
2608. ICLR 2026Transductive Visual Programming: Evolving Tool Libraries from Experience for Spatial Reasoning
2609. ICLR 2026Transferable and Stealthy Adversarial Attacks on Large Vision-Language Models
2610. ICLR 2026Translation Heads: Unveiling Attention's Role in LLM Multilingual Translation
2611. ICLR 2026Trapped by simplicity: When Transformers fail to learn from noisy features
2612. ICLR 2026TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction
2613. ICLR 2026Tricks or Traps? A Deep Dive into RL for LLM Reasoning
2614. ICLR 2026TripleSumm: Adaptive Triple-Modality Fusion for Video Summarization
2615. ICLR 2026TrustGen: A Platform of Dynamic Benchmarking on the Trustworthiness of Generative Foundation Models
2616. ICLR 2026Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction
2617. ICLR 2026TS$^2$: Training with Sparsemax+, Testing with Softmax for Accurate and Diverse LLM Fine-Tuning
2618. ICLR 2026TSLM: Tree-Structured Language Modeling for Divergent Thinking
2619. ICLR 2026TSPulse: Tiny Pre-Trained Models with Disentangled Representations for Rapid Time-Series Analysis
2620. ICLR 2026TTOM: Test-Time Optimization and Memorization for Compositional Video Generation
2621. ICLR 2026Tug-of-War No More: Harmonizing Accuracy and Robustness in Vision-Language Models via Stability-Aware Task Vector Merging
2622. ICLR 2026TumorChain: Interleaved Multimodal Chain-of-Thought Reasoning for Traceable Clinical Tumor Analysis
2623. ICLR 2026TurboBoA: Faster and Exact Attention-aware Quantization without Backpropagation
2624. ICLR 2026Turning Internal Gap into Self-Improvement: Promoting the Generation-Understanding Unification in MLLMs
2625. ICLR 2026TwinVLA: Data-Efficient Bimanual Manipulation with Twin Single-Arm Vision-Language-Action Models
2626. ICLR 2026Type-Compliant Adaptation Cascades
2627. ICLR 2026U-MARVEL: Unveiling Key Factors for Universal Multimodal Retrieval via Embedding Learning with MLLMs
2628. ICLR 2026U2-BENCH: Benchmarking Large Vision-Language Models on Ultrasound Understanding
2629. ICLR 2026UI-Ins: Enhancing GUI Grounding with Multi-Perspective Instruction as Reasoning
2630. ICLR 2026UltraLLaDA: Scaling the Context Length to 128K for Diffusion Large Language Models
2631. ICLR 2026UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings
2632. ICLR 2026Uncertainty-Aware Gaussian Map for Vision-Language Navigation
2633. ICLR 2026Uncertainty-driven Embedding Convolution
2634. ICLR 2026Uncovering Robot Vulnerabilities through Semantic Potential Fields
2635. ICLR 2026Understanding Language Prior of LVLMs by Contrasting Chain-of-Embedding
2636. ICLR 2026Understanding Task Vectors in In-Context Learning: Emergence, Functionality, and Limitations
2637. ICLR 2026Understanding the Implicit Biases of Design Choices for Time Series Foundation Models
2638. ICLR 2026Understanding Transformers for Time Series: Rank Structure, Flow-of-ranks, and Compressibility
2639. ICLR 2026Understanding VLMs Spatial Mental Modeling Capability from Limited Views
2640. ICLR 2026Understanding vs. Generation: Navigating Optimization Dilemma in Multimodal Models
2641. ICLR 2026Unfolding Spatial Cognition: Evaluating Multimodal Models on Visual Simulations
2642. ICLR 2026Uni-CoT: Towards Unified Chain-of-Thought Reasoning Across Text and Vision
2643. ICLR 2026Uni-X: Mitigating Modality Conflict with a Two-End-Separated Architecture for Unified Multimodal Models
2644. ICLR 2026UniCA: Unified Covariate Adaptation for Time Series Foundation Model
2645. ICLR 2026UniCon: Unified Framework for Efficient Contrastive Alignment via Kernels
2646. ICLR 2026Unified Diffusion VLA: Vision-Language-Action Model via Joint Discrete Diffusion Diffusion Process
2647. ICLR 2026Unified Vision-Language-Action Model
2648. ICLR 2026Unified Vision–Language Modeling via Concept Space Alignment
2649. ICLR 2026Unifying Diffusion and Autoregression for Generalizable Vision-Language-Action Model
2650. ICLR 2026UniHM: Unified Dexterous Hand Manipulation with Vision Language Model

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.