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 19 of 22

901. ICML 2026Think in Latent, Explain in Language: Self-Explainable Latent Reasoning
902. ICML 2026Think Less, Act Early: Reinforced Latent Reasoning with Early Exit in Vision-Language-Action Models
903. ICML 2026Thinking in Latent Space: Progressive Multimodal Simplification for Visual Reasoning
904. ICML 2026Thinking in Scales: Accelerating Gigapixel Pathology Image Analysis via Adaptive Continuous Reasoning
905. ICML 2026Thinking in Structures: Evaluating Spatial Intelligence in Constraint-Governed Spaces
906. ICML 2026Thinking with Geometry: Active Geometry Integration for Spatial Reasoning
907. ICML 2026TIC-VLA: A Think-in-Control Vision-Language-Action Model for Robot Navigation in Dynamic Environments
908. ICML 2026Time Series Reasoning via Process-Verifiable Thinking Data Synthesis and Scheduling for Tailored LLM Reasoning
909. ICML 2026Time Series, Vision, and Language: Exploring the Limits of Alignment in Contrastive Representation Spaces
910. ICML 2026TIME: Tensor-Factorized Mixture-of-Experts with Intrinsic Routing for Lifelong Multimodal Knowledge Editing
911. ICML 2026TimeOmni-VL: Unified Models for Time Series Understanding and Generation
912. ICML 2026TiMi: Empower Time Series Transformers with Multimodal Mixture of Experts
913. ICML 2026ToaSt: Token Channel Selection and Structured Pruning for Efficient ViT
914. ICML 2026Token-Sparse Medical Multimodal Reasoning via Dual-Stream Reinforcement Learning
915. ICML 2026TokenSwap: Backdoor Attack on the Compositional Understanding of Large Vision-Language Models
916. ICML 2026TopBench: A Benchmark for Implicit Predictive Reasoning in Tabular Question Answering
917. ICML 2026Topological Active Inference for Task Disambiguation
918. ICML 2026Toward Effective Multimodal Graph Foundation Model: A Divide-and-Conquer Based Approach
919. ICML 2026Toward Robust Multilingual Adaptation of LLMs for Low-Resource Languages
920. ICML 2026Toward Structural Multimodal Representations: Specialization, Selection, and Sparsification via Mixture-of-Experts
921. ICML 2026Towards Diffeomorphism-Equivariant Neural Networks via Canonicalization
922. ICML 2026Towards Efficient LLMs Annealing with Principled Sample Selection
923. ICML 2026Towards Fine-Grained Robustness: Attention-Guided Test-Time Prompt Tuning for Vision-Language Models
924. ICML 2026Towards Long-Horizon Interpretability: Efficient and Faithful Multi-Token Attribution for Reasoning LLMs
925. ICML 2026Towards Multimodal Large Language Models with Both Training and Inference Efficiency
926. ICML 2026Towards One-to-Many Temporal Grounding
927. ICML 2026Towards Practical World Model-based Reinforcement Learning for Vision-Language-Action Models
928. ICML 2026Towards Resource-Efficient LLMs: End-to-End Energy Accounting of Distillation Pipelines
929. ICML 2026Towards Solving the Gilbert-Pollak Conjecture via Large Language Models
930. ICML 2026Towards Trustworthy Video Anomaly Understanding: A Class-Guided Chain-of-Evaluation Metric and An Anomaly-focused Meta-Benchmark
931. ICML 2026Towards Understanding Modality Interaction in Multimodal Language Models via Partial Information Decomposition
932. ICML 2026Towards Uniformity and Alignment for Multimodal Representation Learning
933. ICML 2026TRACER: Persistent Regularization for Robust Multimodal Finetuning
934. ICML 2026Training Data Efficiency in Multimodal Process Reward Models
935. ICML 2026Training-Free Multimodal Large Language Model Orchestration
936. ICML 2026Training–Inference Consistent Segmented Execution for Long-Context LLMs
937. ICML 2026Transform Trained Transformer for Accelerating Native 4K Video Generation
938. ICML 2026Transitive Representation Learning Enhances Histopathology Annotation
939. ICML 2026Transport and Merge: Cross-Architecture Merging for Large Language Models
940. ICML 2026TranX-Adapter: Bridging Artifacts and Semantics within MLLMs for Robust AI-generated Image Detection
941. ICML 2026TRAP: Hijacking VLA CoT-Reasoning via Adversarial Patches
942. ICML 2026TreeCUA: Efficiently Scaling GUI Automation with Tree-Structured Verifiable Evolution
943. ICML 2026TriAttention: Efficient Long Reasoning with Trigonometric KV Compression
944. ICML 2026Trifuse: Enhancing Attention-Based GUI Grounding via Multimodal Fusion
945. ICML 2026TrustworthyQENN: A Quantum Evidential Neural Network Based on Complex-Valued Contrastive Learning for Uncertainty Pattern Classification
946. ICML 2026TsLLM: Augmenting LLMs for General Time Series Understanding and Prediction
947. ICML 2026Turning Adaptation into Assets: Cross-Domain Bridging for Online Vision-Language Navigation
948. ICML 2026TVDRNet: Text-driven Viewpoint Optimization via Differentiable Rendering for 3D Reasoning Segmentation
949. ICML 2026TVI-CoT: Text-Visual Interleaved Chain-of-Thought Reasoning for Multimodal Understanding
950. ICML 2026TwinWeaver: An LLM-Based Foundation Model Framework for Pan-Cancer Digital Twins

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.