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

321 papers, page 1 of 7

1. ICLR 2024#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models
2. ICLR 2024$\mathbb{D}^2$ Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning
3. ICLR 20243D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation
4. ICLR 2024A Benchmark for Learning to Translate a New Language from One Grammar Book
5. ICLR 2024A Foundation Model for Error Correction Codes
6. ICLR 2024A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models
7. ICLR 2024A Semantic Invariant Robust Watermark for Large Language Models
8. ICLR 2024A Simple and Effective Pruning Approach for Large Language Models
9. ICLR 2024A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis
10. ICLR 2024A unique M-pattern for micro-expression spotting in long videos
11. ICLR 2024Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers
12. ICLR 2024Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models
13. ICLR 2024Adaptive Window Pruning for Efficient Local Motion Deblurring
14. ICLR 2024Adversarial AutoMixup
15. ICLR 2024AffineQuant: Affine Transformation Quantization for Large Language Models
16. ICLR 2024AlpaGasus: Training a Better Alpaca with Fewer Data
17. ICLR 2024Alt-Text with Context: Improving Accessibility for Images on Twitter
18. ICLR 2024An Extensible Framework for Open Heterogeneous Collaborative Perception
19. ICLR 2024An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models
20. ICLR 2024An interpretable error correction method for enhancing code-to-code translation
21. ICLR 2024An Intuitive Multi-Frequency Feature Representation for SO(3)-Equivariant Networks
22. ICLR 2024An Unforgeable Publicly Verifiable Watermark for Large Language Models
23. ICLR 2024Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
24. ICLR 2024AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
25. ICLR 2024AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
26. ICLR 2024ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference
27. ICLR 2024At Which Training Stage Does Code Data Help LLMs Reasoning?
28. ICLR 2024BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation
29. ICLR 2024Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering
30. ICLR 2024Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning
31. ICLR 2024Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs
32. ICLR 2024Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World
33. ICLR 2024BooookScore: A systematic exploration of book-length summarization in the era of LLMs
34. ICLR 2024Boosting Vanilla Lightweight Vision Transformers via Re-parameterization
35. ICLR 2024Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification
36. ICLR 2024Boundary Denoising for Video Activity Localization
37. ICLR 2024BrainLM: A foundation model for brain activity recordings
38. ICLR 2024BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity
39. ICLR 2024Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages
40. ICLR 2024Bridging Vision and Language Spaces with Assignment Prediction
41. ICLR 2024C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion
42. ICLR 2024CABINET: Content Relevance-based Noise Reduction for Table Question Answering
43. ICLR 2024CAMBranch: Contrastive Learning with Augmented MILPs for Branching
44. ICLR 2024Can Large Language Models Infer Causation from Correlation?
45. ICLR 2024Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs
46. ICLR 2024Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory
47. ICLR 2024Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks
48. ICLR 2024Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision?
49. ICLR 2024Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation
50. ICLR 2024Causal-StoNet: Causal Inference for High-Dimensional Complex Data

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.