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

1,051 papers, page 15 of 22

701. ICML 2026Reflex: Real-Time Vision-Language-Action Control through Streaming Inference
702. ICML 2026Regression Language Models for Code
703. ICML 2026Regulating Anatomy-Aware Rewards via Trajectory-Integral Feedback for Volumetric Computed Tomography Analysis
704. ICML 2026Remove the Ambiguity: Few-shot Multimodal Anomaly Detection Using Crossmodal Feature Replacers
705. ICML 2026RepetitionCurse: Measuring and Understanding Router Imbalance in Mixture-of-Experts LLMs under DoS Stress
706. ICML 2026Respecting Modality Gap in Post-hoc Out-of-distribution Detection with Pre-trained Vision-Language Models
707. ICML 2026Resting Neurons, Active Insights: Robustifying Activation Sparsity in LLMs via Spontaneity
708. ICML 2026Restoring Exploration after Post-Training: Latent Exploration Decoding for Large Reasoning Models
709. ICML 2026Rethinking Calibration for Early-Exit Neural Networks
710. ICML 2026Rethinking Federated Prompt Learning for Medical Images: From Textual Tuning to Visual Manifold Anchoring
711. ICML 2026Rethinking Gating Mechanism in Sparse MoE: Handling Arbitrary Modality Inputs with Confidence-Guided Gate
712. ICML 2026Rethinking Genomic Modeling Through Optical Character Recognition
713. ICML 2026Rethinking Instruction Drift as a Sampling Error: SNR-Aware Power Distributions for Long-Horizon Robotic Planning
714. ICML 2026Rethinking Low-Confidence Pseudo Labels: Influence-Aware Semi-Supervised Fine-Tuning for Hyperspectral Change Detection
715. ICML 2026Rethinking Multimodal Time-Series Forecasting Evaluation
716. ICML 2026Rethinking Pretraining Data Detection for LLMs: From Local to Global
717. ICML 2026Rethinking Video Generation Model for the Embodied World
718. ICML 2026REVIS: Sparse Latent Steering to Mitigate Object Hallucination in Large Vision-Language Models
719. ICML 2026Revisiting the Role of Pretrained Weights in Model Merging: On Near-Optimality within the Core Subspace
720. ICML 2026Revisiting Uncertainty: On Evidential Learning for Partially Relevant Video Retrieval
721. ICML 2026REViT: Roto-reflection Equivariant Convolutional Vision Transformer
722. ICML 2026ReVSI: Rebuilding Visual Spatial Intelligence Evaluation for Accurate Assessment of VLM 3D Reasoning
723. ICML 2026Risk Awareness Injection: Calibrating Vision-Language Models for Safety without Compromising Utility
724. ICML 2026RLSF-V: Mitigating Hallucinations in MLLMs via Fuzzy Semantic Self-Feedback
725. ICML 2026ROAMM: A Benchmark Dataset for Multimodal Human Attention Decoding and EEG-to-Text Modeling During Naturalistic Reading
726. ICML 2026RoboFlow4D: A Lightweight Flow World Model Toward Real-Time Flow-Guided Robotic Manipulation
727. ICML 2026RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies
728. ICML 2026RoboOmni: Actions Are Just Another Modality for Vision-Language Models
729. ICML 2026RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
730. ICML 2026Robust Cross-Modal Retrieval via Generative Semantic Refinement and Exclusion-Guided Adaptation
731. ICML 2026Robust Multi-View Fusion via Prototype-Anchored Unbalanced Optimal Transport
732. ICML 2026Robust Vision-Language Models via Manifold-Adversarial Adapters
733. ICML 2026Robustifying Vision-Language Models via Test-Time Prompt Adaptation
734. ICML 2026Rotary Position Encodings for Graphs
735. ICML 2026RuCL: Stratified Rubric-Based Curriculum Learning for Multimodal Large Language Model Reasoning
736. ICML 2026RVAS: Referring Video Active Exploration and Segmentation
737. ICML 2026S2M-Net: Spectral-Spatial Mixing with Morphology-Aware Adaptive Loss for Medical Image Segmentation
738. ICML 2026Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks
739. ICML 2026SAGE: A Dataflow-Native Framework for Modular, Controllable, and Transparent LLM-Augmented Reasoning
740. ICML 2026SAGE: Shaping Anchors for Guided Exploration in RLVR of LLMs
741. ICML 2026SALSA-V: Shortcut-Augmented Long-form Synchronized Audio from Videos
742. ICML 2026SAME: Stabilized Mixture-of-Experts for Multimodal Continual Instruction Tuning
743. ICML 2026Sampling and Identity-Testing Without Approximate Tensorization of Entropy
744. ICML 2026SARSteer: Safeguarding Large Audio Language Models via Safe-Ablated Refusal Steering
745. ICML 2026SAW-Bench: Learning Situated Awareness in the Real World
746. ICML 2026Scalable Kronecker-Factored Fisher Approximation for Neural Network Parameter Sensitivity
747. ICML 2026Scalable Medical Multimodal Fusion via Symmetric Consistency Modeling
748. ICML 2026Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening
749. ICML 2026SCALE: Self-uncertainty Conditioned Adaptive Looking and Execution for Vision-Language-Action Models
750. ICML 2026ScaleErasure: Inference-Time Minimal Intervention for Precise Concept Erasure in Next-Scale Autoregressive Image Generation

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.