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 34 of 104

1651. ICLR 2026Distilling to Hybrid Attention Models via KL-Guided Layer Selection
1652. ICLR 2026Distribution-Aware Multi-Granularity Phase Coding: Towards Lower Conversion Error for Spike-Driven Large Language Models
1653. ICLR 2026Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence
1654. ICLR 2026DIVA-GRPO: Enhancing Multimodal Reasoning through Difficulty-Adaptive Variant Advantage
1655. ICLR 2026DiVE-k: DIFFERENTIAL VISUAL REASONING FOR FINE-GRAINED IMAGE RECOGNITION
1656. ICLR 2026Diversity-Incentivized Exploration for Versatile Reasoning
1657. ICLR 2026Divid: Disentangled Spatial-Temporal Modeling within LLMs for Temporally Grounded Video Understanding
1658. ICLR 2026Divide, Harmonize, Then Conquer It: Shooting Multi-Commodity Flow Problems with Multimodal Language Models
1659. ICLR 2026DMAP: A Distribution Map for Text
1660. ICLR 2026DND: Boosting Large Language Models with Dynamic Nested Depth
1661. ICLR 2026Do 3D Large Language Models Really Understand 3D Spatial Relationships?
1662. ICLR 2026Do LLMs Forget What They Should? Evaluating In-Context Forgetting in Large Language Models
1663. ICLR 2026Do Vision-Language Models Respect Contextual Integrity in Location Disclosure?
1664. ICLR 2026Don’t Pass@$k$: A Bayesian Framework for Large Language Model Evaluation
1665. ICLR 2026Don't Throw Away Your Beams: Improving Consistency-based Uncertainties in LLMs via Beam Search
1666. ICLR 2026Don't Throw Away Your Pretrained Model
1667. ICLR 2026DP-Fusion: Token-Level Differentially Private Inference for Large Language Models
1668. ICLR 2026DPad: Efficient Diffusion Language Models with Suffix Dropout
1669. ICLR 2026Dr.LLM: Dynamic Layer Routing in LLMs
1670. ICLR 2026Draft-based Approximate Inference for LLMs
1671. ICLR 2026Draw-In-Mind: Rebalancing Designer-Painter Roles in Unified Multimodal Models Benefits Image Editing
1672. ICLR 2026DRBench: A Realistic Benchmark for Enterprise Deep Research
1673. ICLR 2026DreamOn: Diffusion Language Models For Code Infilling Beyond Fixed-size Canvas
1674. ICLR 2026DreamSwapV: Mask-guided Subject Swapping for Any Customized Video Editing
1675. ICLR 2026DRIFT-Net: A Spectral-Coupled Neural Operator for PDEs Learning
1676. ICLR 2026DriveAgent-R1: Advancing VLM-based Autonomous Driving with Active Perception and Hybrid Thinking
1677. ICLR 2026DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving
1678. ICLR 2026DTP: Delta-Guided Two Stage Pruning for Mamba-based Multimodal Large Language Models
1679. ICLR 2026Dual Language Models: Balancing sample-efficiency and overfitting resilience
1680. ICLR 2026Dual-Kernel Adapter: Expanding Spatial Horizons for Data-Constrained Medical Image Analysis
1681. ICLR 2026DualToken: Towards Unifying Visual Understanding and Generation with Dual Visual Vocabularies
1682. ICLR 2026Dynamic Chunking for End-to-End Hierarchical Sequence Modeling
1683. ICLR 2026Dynamic Multimodal Activation Steering for Hallucination Mitigation in Large Vision-Language Models
1684. ICLR 2026Dynamic-dLLM: Dynamic Cache-Budget and Adaptive Parallel Decoding for Training-Free Acceleration of Diffusion LLM
1685. ICLR 2026DynamicInfer: Runtime-Aware Sparse Offloading for LLMs Inference on a Consumer-Grade GPU
1686. ICLR 2026Dyslexify: A Mechanistic Defense Against Typographic Attacks in CLIP
1687. ICLR 2026EAMET: ROBUST MASSIVE MODEL EDITING VIA EMBEDDING ALIGNMENT OPTIMIZATION
1688. ICLR 2026Early Signs of Steganographic Capabilities in Frontier LLMs
1689. ICLR 2026EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements
1690. ICLR 2026EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing
1691. ICLR 2026EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning
1692. ICLR 2026Efficient Agent Training for Computer Use
1693. ICLR 2026Efficient Degradation-agnostic Image Restoration via Channel-Wise Functional Decomposition and Manifold Regularization
1694. ICLR 2026Efficient Discriminative Joint Encoders for Large Scale Vision-Language Reranking
1695. ICLR 2026Efficient Message-Passing Transformer for Error Correcting Codes
1696. ICLR 2026Efficient Multimodal Spatial Reasoning via Dynamic and Asymmetric Routing
1697. ICLR 2026Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees
1698. ICLR 2026Efficient Test-Time Scaling for Small Vision-Language Models
1699. ICLR 2026EgoBrain: Synergizing Minds and Eyes For Human Action Understanding
1700. ICLR 2026EgoNight: Towards Egocentric Vision Understanding at Night with a Challenging Benchmark

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.