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

1,910 papers, page 31 of 39

1501. ICML 2024Copyright Traps for Large Language Models
1502. ICML 2024Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training
1503. ICML 2024CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection
1504. ICML 2024CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers
1505. ICML 2024CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
1506. ICML 2024Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes
1507. ICML 2024Debating with More Persuasive LLMs Leads to More Truthful Answers
1508. ICML 2024DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning
1509. ICML 2024Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
1510. ICML 2024Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling
1511. ICML 2024DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
1512. ICML 2024Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks
1513. ICML 2024Detecting Any instruction-to-answer interaction relationship:Universal Instruction-to-Answer Navigator for Med-VQA
1514. ICML 2024Diagnosing the Compositional Knowledge of Vision Language Models from a Game-Theoretic View
1515. ICML 2024diff History for Neural Language Agents
1516. ICML 2024Differentially private exact recovery for stochastic block models
1517. ICML 2024Differentially Private Representation Learning via Image Captioning
1518. ICML 2024Distinguishing the Knowable from the Unknowable with Language Models
1519. ICML 2024DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent)
1520. ICML 2024Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference
1521. ICML 2024eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data
1522. ICML 2024Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior
1523. ICML 2024Efficient Exploration for LLMs
1524. ICML 2024Eluder-based Regret for Stochastic Contextual MDPs
1525. ICML 2024Emergent Equivariance in Deep Ensembles
1526. ICML 2024Enhancing Storage and Computational Efficiency in Federated Multimodal Learning for Large-Scale Models
1527. ICML 2024Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection
1528. ICML 2024Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning
1529. ICML 2024ERQ: Error Reduction for Post-Training Quantization of Vision Transformers
1530. ICML 2024Estimating Barycenters of Distributions with Neural Optimal Transport
1531. ICML 2024Estimating Canopy Height at Scale
1532. ICML 2024Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models
1533. ICML 2024Evaluating Quantized Large Language Models
1534. ICML 2024Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks
1535. ICML 2024Evolving Subnetwork Training for Large Language Models
1536. ICML 2024EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
1537. ICML 2024Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning
1538. ICML 2024Exploiting Code Symmetries for Learning Program Semantics
1539. ICML 2024Exploring Intrinsic Dimension for Vision-Language Model Pruning
1540. ICML 2024Extracting Training Data From Document-Based VQA Models
1541. ICML 2024Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models
1542. ICML 2024Fast-Slow Test-Time Adaptation for Online Vision-and-Language Navigation
1543. ICML 2024FedMBridge: Bridgeable Multimodal Federated Learning
1544. ICML 2024Finite Smoothing Algorithm for High-Dimensional Support Vector Machines and Quantile Regression
1545. ICML 2024Flexible Residual Binarization for Image Super-Resolution
1546. ICML 2024Flextron: Many-in-One Flexible Large Language Model
1547. ICML 2024Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations
1548. ICML 2024FrameQuant: Flexible Low-Bit Quantization for Transformers
1549. ICML 2024FreeBind: Free Lunch in Unified Multimodal Space via Knowledge Fusion
1550. ICML 2024FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning

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.