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

11,207 papers, page 179 of 225

8901. ICLR 2024A unique M-pattern for micro-expression spotting in long videos
8902. ICLR 2024Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers
8903. ICLR 2024Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models
8904. ICLR 2024Adaptive Window Pruning for Efficient Local Motion Deblurring
8905. ICLR 2024Adversarial AutoMixup
8906. ICLR 2024AffineQuant: Affine Transformation Quantization for Large Language Models
8907. ICLR 2024AlpaGasus: Training a Better Alpaca with Fewer Data
8908. ICLR 2024Alt-Text with Context: Improving Accessibility for Images on Twitter
8909. ICLR 2024An Extensible Framework for Open Heterogeneous Collaborative Perception
8910. ICLR 2024An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models
8911. ICLR 2024An interpretable error correction method for enhancing code-to-code translation
8912. ICLR 2024An Intuitive Multi-Frequency Feature Representation for SO(3)-Equivariant Networks
8913. ICLR 2024An Unforgeable Publicly Verifiable Watermark for Large Language Models
8914. ICLR 2024Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
8915. ICLR 2024AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
8916. ICLR 2024AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
8917. ICLR 2024ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference
8918. ICLR 2024At Which Training Stage Does Code Data Help LLMs Reasoning?
8919. ICLR 2024BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation
8920. ICLR 2024Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering
8921. ICLR 2024Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning
8922. ICLR 2024Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs
8923. ICLR 2024Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World
8924. ICLR 2024BooookScore: A systematic exploration of book-length summarization in the era of LLMs
8925. ICLR 2024Boosting Vanilla Lightweight Vision Transformers via Re-parameterization
8926. ICLR 2024Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification
8927. ICLR 2024Boundary Denoising for Video Activity Localization
8928. ICLR 2024BrainLM: A foundation model for brain activity recordings
8929. ICLR 2024BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity
8930. ICLR 2024Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages
8931. ICLR 2024Bridging Vision and Language Spaces with Assignment Prediction
8932. ICLR 2024C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion
8933. ICLR 2024CABINET: Content Relevance-based Noise Reduction for Table Question Answering
8934. ICLR 2024CAMBranch: Contrastive Learning with Augmented MILPs for Branching
8935. ICLR 2024Can Large Language Models Infer Causation from Correlation?
8936. ICLR 2024Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs
8937. ICLR 2024Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory
8938. ICLR 2024Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks
8939. ICLR 2024Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision?
8940. ICLR 2024Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation
8941. ICLR 2024Causal-StoNet: Causal Inference for High-Dimensional Complex Data
8942. ICLR 2024Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
8943. ICLR 2024Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words
8944. ICLR 2024Circuit Component Reuse Across Tasks in Transformer Language Models
8945. ICLR 2024CLEX: Continuous Length Extrapolation for Large Language Models
8946. ICLR 2024CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
8947. ICLR 2024CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction
8948. ICLR 2024CoBIT: A Contrastive Bi-directional Image-Text Generation Model
8949. ICLR 2024Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization
8950. ICLR 2024Compressing LLMs: The Truth is Rarely Pure and Never Simple

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.