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

5,190 papers, page 97 of 104

4801. NeurIPS 2026Region-Normalized DPO for Medical Image Segmentation
4802. NeurIPS 2026Reinforcing Multimodal Reasoning Against Visual Degradation
4803. NeurIPS 2026Relaxed On-Policy Distillation: Selective Credit Allocation for Scaling Reasoning Efficiently
4804. NeurIPS 2026Relevance Is Not Necessity: Selecting the Necessary API Set for Tool-Using LLMs
4805. NeurIPS 2026Remember with Confidence: Uncertainty Quantification for Spatio-temporal Memory with Probabilistic Guarantees
4806. NeurIPS 2026Remembering What Matters: From Markovian to Subtask-Causal Memory in VLA Policies
4807. NeurIPS 2026RePO-VLA: Recovery-Driven Policy Optimization for Vision-Language-Action Models
4808. NeurIPS 2026Representation Forcing for Bottleneck-Free Unified Multimodal Models
4809. NeurIPS 2026Repurposing Video Diffusion Transformers for Cross-View Temporal Object Correspondence
4810. NeurIPS 2026ReSMap: Recasting Satellite Priors for Robust and Accurate Online HD Map Construction
4811. NeurIPS 2026Rethinking Causal Action Tokenization with Conditional Annealing in Flow Matching
4812. NeurIPS 2026Rethinking Contrastive Loss in CLIP Post-training: A Complementary Framework with Frozen Text Encoder
4813. NeurIPS 2026Rethinking in Spikes: Mitigating Hallucinations in MDLMs with Step-Aware Decoding
4814. NeurIPS 2026Rethinking Long-Video Efficiency: A Joint Allocation Perspective on Frames, Pixels, and Front-End Latency
4815. NeurIPS 2026Rethinking Post-Training Recipes for Multimodal Time-Series Forecasting
4816. NeurIPS 2026Rethinking Projector Training in Multimodal LLMs
4817. NeurIPS 2026Rethinking Softmax Attention: Polynomial Activations for Transformers
4818. NeurIPS 2026Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection
4819. NeurIPS 2026Retrieval Heads Meet Vision: Uncovering How VLMs Locate and Extract Visual Information
4820. NeurIPS 2026Revealing Epistemic Uncertainty in MLLMs via Causal-Invariant Masking
4821. NeurIPS 2026Revealing the Gap in Human and VLM Scene Perception through Counterfactual Semantic Saliency
4822. NeurIPS 2026Revisiting Autoregressive GCNs for Vehicle Routing Problems
4823. NeurIPS 2026Revisiting Gradient Ascent: Machine Unlearning from a Geometric Perspective for Source-Free Scenarios
4824. NeurIPS 2026RICE-PO: Turning Retrieval Interactions into Credit Signals for Reasoning Agents
4825. NeurIPS 2026RILA: A Radar-Native Structured Interface from Sparse mmWave Point Clouds to Large Language Models
4826. NeurIPS 2026RISE: Red-teaming via Iterative Strategy Evolution for Modern Text-to-Image Models
4827. NeurIPS 2026RiSE: Residual Subspace Expert for Generalizable Text-Centric Image Forgery Localization
4828. NeurIPS 2026RoboAlign-R1: Distilled Multimodal Reward Alignment for Robot Video World Models
4829. NeurIPS 2026RoboExo: Structure-Guided Wrist-to-Exocentric Video Generation for Scalable Robot Learning
4830. NeurIPS 2026Robust and Efficient Finetuning of Vision Foundation Models via Implicit Ensembling
4831. NeurIPS 2026Robust Task-Aware State Estimation from Pre-trained Perception
4832. NeurIPS 2026Robustness of Internal Signals for Hallucination Detection in Vision-Language Models
4833. NeurIPS 2026ROCKET: Residual-Oriented Multi-Layer Alignment for Spatially-Aware Vision-Language-Action Models
4834. NeurIPS 2026RoSeViT: Role-Separated Vision Transformers for ARC Visual Reasoning
4835. NeurIPS 2026RotVLA: Rotational Latent Action for Vision-Language-Action Model
4836. NeurIPS 2026Routeability Before Routing: Routeability Audit Protocol (RAP) and RouteabilityBench for Audited LLM Model Selection
4837. NeurIPS 2026RPFQ-ViT: Rotated Phase-Frame Quantization for Extremely Low-Bit Weights in Vision Transformers
4838. NeurIPS 2026RSPO: Reasoning-Supervised Policy Optimization for Long-Tail Autonomous Driving
4839. NeurIPS 2026RSRCC: A Remote Sensing Regional Change Comprehension Benchmark Constructed via Retrieval-Augmented Best-of-𝑁 Ranking
4840. NeurIPS 2026RxnOptBench: Benchmarking LLMs for Reaction-Condition Optimization in Organic Methodology
4841. NeurIPS 2026S-EDL: Eliciting Self-Evidence from Sequence Likelihoods for Semantic Calibration of LLMs
4842. NeurIPS 2026S2D: Sparse-To-Dense Keymask Distillation for Unsupervised Video Instance Segmentation
4843. NeurIPS 2026s2n-bignum-bench: A practical benchmark for evaluating low-level code reasoning of LLMs
4844. NeurIPS 2026Safe in Its Own Words: Self-Guided Safety Alignment for Multimodal Reasoning Models
4845. NeurIPS 2026SAFE-Hair: Scalp-Anchored Fields for Exportable Single-View Hair Reconstruction
4846. NeurIPS 2026SafeDrug: A Benchmark Dataset for Safety-Critical Pharmacological Reasoning in LLMs
4847. NeurIPS 2026Safeguarding Mutual Correction in Source-Free Domain Adaptation via Cut Statistics
4848. NeurIPS 2026Safety Geometry Collapse in Multimodal LLMs and Adaptive Drift Correction
4849. NeurIPS 2026SAFTAC: Simulation-Augmented Fine-Tuning of Open-Source LLMs for Analog Circuit Design
4850. NeurIPS 2026SAGE: Mitigating Long-Horizon Reasoning Biases via Topological Guidance

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.