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

1,716 papers, page 19 of 35

901. ICLR 2024The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World
902. ICLR 2024The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
903. ICLR 2024The Effectiveness of Random Forgetting for Robust Generalization
904. ICLR 2024The Generative AI Paradox: “What It Can Create, It May Not Understand”
905. ICLR 2024The Need for Speed: Pruning Transformers with One Recipe
906. ICLR 2024The Reversal Curse: LLMs trained on “A is B” fail to learn “B is A”
907. ICLR 2024The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
908. ICLR 2024The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
909. ICLR 2024The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric
910. ICLR 2024Think before you speak: Training Language Models With Pause Tokens
911. ICLR 2024TiC-CLIP: Continual Training of CLIP Models
912. ICLR 2024Time Travel in LLMs: Tracing Data Contamination in Large Language Models
913. ICLR 2024Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
914. ICLR 2024TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning
915. ICLR 2024Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models
916. ICLR 2024Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs
917. ICLR 2024Towards Foundation Models for Knowledge Graph Reasoning
918. ICLR 2024Towards Generative Abstract Reasoning: Completing Raven’s Progressive Matrix via Rule Abstraction and Selection
919. ICLR 2024Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
920. ICLR 2024Training Diffusion Models with Reinforcement Learning
921. ICLR 2024Unbiased Watermark for Large Language Models
922. ICLR 2024Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions
923. ICLR 2024Understanding prompt engineering may not require rethinking generalization
924. ICLR 2024Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP
925. ICLR 2024UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling
926. ICLR 2024Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization
927. ICLR 2024UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science
928. ICLR 2024UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
929. ICLR 2024Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation
930. ICLR 2024Unveiling the Pitfalls of Knowledge Editing for Large Language Models
931. ICLR 2024V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection
932. ICLR 2024VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models
933. ICLR 2024Video Language Planning
934. ICLR 2024ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models
935. ICLR 2024Vision-by-Language for Training-Free Compositional Image Retrieval
936. ICLR 2024Vision-Language Foundation Models as Effective Robot Imitators
937. ICLR 2024Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
938. ICLR 2024Visual Data-Type Understanding does not emerge from scaling Vision-Language Models
939. ICLR 2024Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency
940. ICLR 2024What Algorithms can Transformers Learn? A Study in Length Generalization
941. ICLR 2024What's in a Prior? Learned Proximal Networks for Inverse Problems
942. ICLR 2024When Semantic Segmentation Meets Frequency Aliasing
943. ICLR 2024Win-Win: Training High-Resolution Vision Transformers from Two Windows
944. ICLR 2024Window Attention is Bugged: How not to Interpolate Position Embeddings
945. ICLR 2024WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions
946. ICLR 2024Xformer: Hybrid X-Shaped Transformer for Image Denoising
947. ICLR 2024ZipIt! Merging Models from Different Tasks without Training
948. ICML 2024A Dynamic Algorithm for Weighted Submodular Cover Problem
949. ICML 2024A Multimodal Automated Interpretability Agent
950. ICML 2024A Neural-Preconditioned Poisson Solver for Mixed Dirichlet and Neumann Boundary Conditions

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.