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 33 of 104

1601. ICLR 2026Culture In a Frame: C$^3$B as a Comic-Based Benchmark for Multimodal Culturally Awareness
1602. ICLR 2026CurES: From Gradient Analysis to Efficient Curriculum Learning for Reasoning LLMs
1603. ICLR 2026Customizing Visual Emotion Evaluation for MLLMs: An Open-vocabulary, Multifaceted, and Scalable Approach
1604. ICLR 2026d$^2$Cache: Accelerating Diffusion-Based LLMs via Dual Adaptive Caching
1605. ICLR 2026D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI
1606. ICLR 2026DAG-Math: Graph-Guided Mathematical Reasoning in LLMs
1607. ICLR 2026Data Provenance for Image Auto-Regressive Generation
1608. ICLR 2026Data-Centric Lessons To Improve Speech-Language Pretraining
1609. ICLR 2026DAVE: A VLM Vision Encoder for Document Understanding and Web Agents
1610. ICLR 2026DaVinci: Reinforcing Visual-Structural Syntax in MLLMs for Generalized Scientific Diagram Parsing
1611. ICLR 2026DeAltHDR: Learning HDR Video Reconstruction from Degraded Alternating Exposure Sequences
1612. ICLR 2026DEAS: DEtached value learning with Action Sequence for Scalable Offline RL
1613. ICLR 2026Death of the Novel(ty): Beyond N-Gram Novelty as a Metric for Textual Creativity
1614. ICLR 2026DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning
1615. ICLR 2026Decoding Inner Speech with an End-to-End Brain-to-Text Neural Interface
1616. ICLR 2026Decoding Open-Ended Information Seeking Goals from Eye Movements in Reading
1617. ICLR 2026Decomposed Attention Fusion in MLLMs for Training-free Video Reasoning Segmentation
1618. ICLR 2026Decomposition of Concept-Level Rules in Visual Scenes
1619. ICLR 2026Decoupling Positional and Symbolic Attention in Transformers
1620. ICLR 2026Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs
1621. ICLR 2026Deep Think with Confidence
1622. ICLR 2026DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning
1623. ICLR 2026DeepEyesV2: Toward Agentic Multimodal Model
1624. ICLR 2026DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively
1625. ICLR 2026DeLeaker: Dynamic Inference-Time Reweighting For Semantic Leakage Mitigation in Text-to-Image Models
1626. ICLR 2026DeLiVR: Differential Spatiotemporal Lie Bias for Efficient Video Deraining
1627. ICLR 2026Delving into Spectral Clustering with Vision-Language Representations
1628. ICLR 2026Demystifying Robot Diffusion Policies: Action Memorization and a Simple Lookup Table Alternative
1629. ICLR 2026Demystifying Supervision Data Generalization in Multimodal LMs
1630. ICLR 2026Densemarks: Learning Canonical Embeddings for Human Heads Images via Point Tracks
1631. ICLR 2026DepthLM: Metric Depth from Vision Language Models
1632. ICLR 2026DES-LOC: Desynced Low Communication Adaptive Optimizers for Foundation Models
1633. ICLR 2026DESIGNER: Design-Logic-Guided Multidisciplinary Data Synthesis for LLM Reasoning
1634. ICLR 2026Designing Affine-Invariant Neural Networks for Photometric Corruption Robustness and Generalization
1635. ICLR 2026Detecting Data Contamination in LLMs via In-Context Learning
1636. ICLR 2026Detecting Misbehaviors of Large Vision-Language Models by Evidential Uncertainty Quantification
1637. ICLR 2026Detecting Temporal Misalignment Attacks in Multimodal Fusion for Autonomous Driving
1638. ICLR 2026DiaBlo: Diagonal Blocks Are Sufficient For Finetuning
1639. ICLR 2026Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning
1640. ICLR 2026DiffAdapt: Difficulty-Adaptive Reasoning for Token-Efficient LLM Inference
1641. ICLR 2026Differential Fine-Tuning Large Language Models Towards Better Diverse Reasoning Abilities
1642. ICLR 2026Difficulty–Diversity Collaborative Filtering for Data-Efficient LLM Fine-Tuning
1643. ICLR 2026Discern Truth from Falsehood: Reducing Over-Refusal via Contrastive Refinement
1644. ICLR 2026Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving
1645. ICLR 2026Discrete Latent Features Ablate Adversarial Attack: A Robust Prompt Tuning Framework for VLMs
1646. ICLR 2026Disentangled Robot Learning via Separate Forward and Inverse Dynamics Pretraining
1647. ICLR 2026Disentanglement of Variations with Multimodal Generative Modeling
1648. ICLR 2026Disentangling Knowledge Representations for Large Language Model Editing
1649. ICLR 2026Disrupting Hierarchical Reasoning: Adversarial Protection for Geographic Privacy in Multimodal Reasoning Models
1650. ICLR 2026Distilling the Thought, Watermarking the Answer: A Principle Semantic Guided Watermark for Reasoning Large Language Models

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.