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

1,910 papers, page 35 of 39

1701. ICML 2024RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
1702. ICML 2024RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis
1703. ICML 2024Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
1704. ICML 2024Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination
1705. ICML 2024Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models
1706. ICML 2024SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation
1707. ICML 2024Sample Complexity Bounds for Estimating Probability Divergences under Invariances
1708. ICML 2024Scalable Pre-training of Large Autoregressive Image Models
1709. ICML 2024SceneCraft: An LLM Agent for Synthesizing 3D Scenes as Blender Code
1710. ICML 2024Seesaw: Compensating for Nonlinear Reduction with Linear Computations for Private Inference
1711. ICML 2024SelfIE: Self-Interpretation of Large Language Model Embeddings
1712. ICML 2024SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks
1713. ICML 2024Slot Abstractors: Toward Scalable Abstract Visual Reasoning
1714. ICML 2024Soft Prompt Recovers Compressed LLMs, Transferably
1715. ICML 2024Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications
1716. ICML 2024Sparse-to-dense Multimodal Image Registration via Multi-Task Learning
1717. ICML 2024Spectral Preconditioning for Gradient Methods on Graded Non-convex Functions
1718. ICML 2024SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models
1719. ICML 2024SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN
1720. ICML 2024Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
1721. ICML 2024Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to $K$-Level Stochastic Optimizations
1722. ICML 2024Statistical Test for Attention Maps in Vision Transformers
1723. ICML 2024Stereographic Spherical Sliced Wasserstein Distances
1724. ICML 2024StrokeNUWA—Tokenizing Strokes for Vector Graphic Synthesis
1725. ICML 2024Structured Chemistry Reasoning with Large Language Models
1726. ICML 2024Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation
1727. ICML 2024SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment
1728. ICML 2024Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs
1729. ICML 2024Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains
1730. ICML 2024Tandem Transformers for Inference Efficient LLMs
1731. ICML 2024Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
1732. ICML 2024Thermometer: Towards Universal Calibration for Large Language Models
1733. ICML 2024tinyBenchmarks: evaluating LLMs with fewer examples
1734. ICML 2024tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)
1735. ICML 2024To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO
1736. ICML 2024To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models
1737. ICML 2024Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models
1738. ICML 2024Toward Adaptive Reasoning in Large Language Models with Thought Rollback
1739. ICML 2024Towards Certified Unlearning for Deep Neural Networks
1740. ICML 2024Towards Modular LLMs by Building and Reusing a Library of LoRAs
1741. ICML 2024Triple Changes Estimator for Targeted Policies
1742. ICML 2024TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks
1743. ICML 2024TVE: Learning Meta-attribution for Transferable Vision Explainer
1744. ICML 2024Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation
1745. ICML 2024Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models
1746. ICML 2024Understanding Unimodal Bias in Multimodal Deep Linear Networks
1747. ICML 2024Unifying Image Processing as Visual Prompting Question Answering
1748. ICML 2024Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes
1749. ICML 2024Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training
1750. ICML 2024Unsupervised Evaluation of Code LLMs with Round-Trip Correctness

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.