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

11,207 papers, page 219 of 225

10901. NeurIPS 2023Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning
10902. NeurIPS 2023Evaluating and Inducing Personality in Pre-trained Language Models
10903. NeurIPS 2023Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
10904. NeurIPS 2023Evaluating Open-QA Evaluation
10905. NeurIPS 2023Evaluating the Moral Beliefs Encoded in LLMs
10906. NeurIPS 2023EvoPrompting: Language Models for Code-Level Neural Architecture Search
10907. NeurIPS 2023Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models
10908. NeurIPS 2023Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models
10909. NeurIPS 2023Exploring Diverse In-Context Configurations for Image Captioning
10910. NeurIPS 2023Exploring Geometry of Blind Spots in Vision models
10911. NeurIPS 2023Exploring Question Decomposition for Zero-Shot VQA
10912. NeurIPS 2023Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations
10913. NeurIPS 2023Exposing Attention Glitches with Flip-Flop Language Modeling
10914. NeurIPS 2023Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
10915. NeurIPS 2023Fairness-guided Few-shot Prompting for Large Language Models
10916. NeurIPS 2023Faith and Fate: Limits of Transformers on Compositionality
10917. NeurIPS 2023Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention
10918. NeurIPS 2023Faster Query Times for Fully Dynamic $k$-Center Clustering with Outliers
10919. NeurIPS 2023FGPrompt: Fine-grained Goal Prompting for Image-goal Navigation
10920. NeurIPS 2023FIND: A Function Description Benchmark for Evaluating Interpretability Methods
10921. NeurIPS 2023Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering
10922. NeurIPS 2023Fine-Grained Visual Prompting
10923. NeurIPS 2023Fine-Tuning Language Models with Just Forward Passes
10924. NeurIPS 2023FLAIR : a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery
10925. NeurIPS 2023FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning
10926. NeurIPS 2023FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space
10927. NeurIPS 2023Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation
10928. NeurIPS 2023Focus Your Attention when Few-Shot Classification
10929. NeurIPS 2023FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding
10930. NeurIPS 2023Foundation Model is Efficient Multimodal Multitask Model Selector
10931. NeurIPS 2023Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation
10932. NeurIPS 2023From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader
10933. NeurIPS 2023Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models
10934. NeurIPS 2023Generating Images with Multimodal Language Models
10935. NeurIPS 2023Generator Identification for Linear SDEs with Additive and Multiplicative Noise
10936. NeurIPS 2023GenEval: An object-focused framework for evaluating text-to-image alignment
10937. NeurIPS 2023GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image
10938. NeurIPS 2023GEO-Bench: Toward Foundation Models for Earth Monitoring
10939. NeurIPS 2023GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization
10940. NeurIPS 2023Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design
10941. NeurIPS 2023GEX: A flexible method for approximating influence via Geometric Ensemble
10942. NeurIPS 2023Glance and Focus: Memory Prompting for Multi-Event Video Question Answering
10943. NeurIPS 2023Global Structure-Aware Diffusion Process for Low-light Image Enhancement
10944. NeurIPS 2023Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data
10945. NeurIPS 2023Global-correlated 3D-decoupling Transformer for Clothed Avatar Reconstruction
10946. NeurIPS 2023GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction
10947. NeurIPS 2023Grammar Prompting for Domain-Specific Language Generation with Large Language Models
10948. NeurIPS 2023GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph
10949. NeurIPS 2023Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing
10950. NeurIPS 2023Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents

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.