Multimodal LLMs papers, 2023–2026
Vision-language models and multimodal foundation models for image and video
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 11,209 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 433 | 138 | 146 | 509 | 1,226 |
| 2024 | 446 | 321 | 323 | 626 | 1,716 |
| 2025 | 1,074 | 816 | 390 | 795 | 3,075 |
| 2026 | 1,366 | 1,401 | 1,051 | 1,374 | 5,192 |
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 46 of 225
- ICLR 2026PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs
- ICLR 2026PoliCon: Evaluating LLMs on Achieving Diverse Political Consensus Objectives
- ICLR 2026Policy Contrastive Decoding for Robotic Foundation Models
- ICLR 2026PonderLM: Pretraining Language Models to Ponder in Continuous Space
- ICLR 2026Pose-RFT: Aligning MLLMs for 3D Pose Generation via Hybrid Action Reinforcement Fine-Tuning
- ICLR 2026PoSh: Using Scene Graphs to Guide LLMs-as-a-Judge for Detailed Image Descriptions
- ICLR 2026Post-hoc Probabilistic Vision-Language Models
- ICLR 2026Post-Training Quantization for Video Matting
- ICLR 2026PostAlign: Multimodal Grounding as a Corrective Lens for MLLMs
- ICLR 2026PPE: Positional Preservation Embedding for Token Compression in Multimodal Large Language Models
- ICLR 2026PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance
- ICLR 2026Pragma-VL: Towards a Pragmatic Arbitration of Safety and Helpfulness in MLLMs
- ICLR 2026Pre-training LLM without Learning Rate Decay Enhances Supervised Fine-Tuning
- ICLR 2026Pre-training under infinite compute
- ICLR 2026Predicting LLM Reasoning Performance with Small Proxy Model
- ICLR 2026Predicting Training Re-evaluation Curves Enables Effective Data Curriculums for LLMs
- ICLR 2026PreferThinker: Reasoning-based Personalized Image Preference Assessment
- ICLR 2026PrefixMemory-Tuning: Modernizing Prefix-Tuning by Decoupling the Prefix from Attention
- ICLR 2026Preserve and Sculpt: Manifold-Aligned Fine-tuning of Vision-Language Models for Few-Shot Learning
- ICLR 2026Pretraining Scaling Laws for Generative Evaluations of Language Models
- ICLR 2026Pretraining with hierarchical memories: separating long-tail and common knowledge
- ICLR 2026Prior-based Noisy Text Data Filtering: Fast and Strong Alternative For Perplexity
- ICLR 2026PRISM: Controllable Diffusion for Compound Image Restoration with Scientific Fidelity
- ICLR 2026PRISM: Enhancing PRotein Inverse Folding through Fine- Grained Retrieval on Structure-Sequence Multimodal Representations
- ICLR 2026PRISM: Festina Lente Proactivity—Risk-Sensitive, Uncertainty-Aware Deliberation for Proactive Agents
- ICLR 2026PRISMM-Bench: A Benchmark of Peer-Review Grounded Multimodal Inconsistencies
- ICLR 2026Probing Rotary Position Embeddings through Frequency Entropy
- ICLR 2026Product of Experts for Visual Generation
- ICLR 2026Programming with Pixels: Can Computer-Use Agents do Software Engineering?
- ICLR 2026Progressive Online Video Understanding with Evidence-Aligned Timing and Transparent Decisions
- ICLR 2026Prompt and Parameter Co-Optimization for Large Language Models
- ICLR 2026Prompt-Robust Vision-Language Models via Meta-Finetuning
- ICLR 2026Propaganda AI: An Analysis of Semantic Divergence in Large Language Models
- ICLR 2026Proper Velocity Neural Networks
- ICLR 2026ProSafePrune: Projected Safety Pruning for Mitigating Over-Refusal in LLMs
- ICLR 2026ProtoKV: Long-context Knowledges Are Already Well-Organized Before Your Query
- ICLR 2026Proximal Supervised Fine-Tuning
- ICLR 2026ProxyThinker: Test-Time Guidance through Small Visual Reasoners
- ICLR 2026Prune Redundancy, Preserve Essence: Vision Token Compression in VLMs via Synergistic Importance-Diversity
- ICLR 2026PSP: Prompt-Guided Self-Training Sampling Policy for Active Prompt Learning
- ICLR 2026PT$^2$-LLM: Post-Training Ternarization for Large Language Models
- ICLR 2026Pulp Motion: Framing-aware multimodal camera and human motion generation
- ICLR 2026Purifying Generative LLMs from Backdoors without Prior Knowledge or Clean Reference
- ICLR 2026Pursuing Minimal Sufficiency in Spatial Reasoning
- ICLR 2026PuzzleWorld: A Benchmark for Multimodal, Open-Ended Reasoning in Puzzlehunts
- ICLR 2026pySpatial: Generating 3D Visual Programs for Zero-Shot Spatial Reasoning
- ICLR 2026QeRL: Beyond Efficiency - Quantization-enhanced Reinforcement Learning for LLMs
- ICLR 2026QKV Projections Require a Fraction of Their Memory
- ICLR 2026QLIP: A Dynamic Quadtree Vision Prior Enhances MLLM Performance Without Retraining
- ICLR 2026QPrompt-R1: Real-Time Reasoning for Domain-Generalized Semantic Segmentation via Group-Relative Query Alignment
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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.