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 192 of 225

9551. NeurIPS 2024AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models
9552. NeurIPS 2024Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare
9553. NeurIPS 2024Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models
9554. NeurIPS 2024Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP
9555. NeurIPS 2024Aligning Audio-Visual Joint Representations with an Agentic Workflow
9556. NeurIPS 2024Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms
9557. NeurIPS 2024All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation
9558. NeurIPS 2024Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization
9559. NeurIPS 2024AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries
9560. NeurIPS 2024An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching
9561. NeurIPS 2024Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions
9562. NeurIPS 2024Animal-Bench: Benchmarking Multimodal Video Models for Animal-centric Video Understanding
9563. NeurIPS 2024Are Large Language Models Good Statisticians?
9564. NeurIPS 2024Are We on the Right Way for Evaluating Large Vision-Language Models?
9565. NeurIPS 2024ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users
9566. NeurIPS 2024Artemis: Towards Referential Understanding in Complex Videos
9567. NeurIPS 2024Ask, Attend, Attack: An Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models
9568. NeurIPS 2024Automated Multi-level Preference for MLLMs
9569. NeurIPS 2024Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models
9570. NeurIPS 2024AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation
9571. NeurIPS 2024Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs
9572. NeurIPS 2024Bayesian-guided Label Mapping for Visual Reprogramming
9573. NeurIPS 2024Benchmarking LLMs via Uncertainty Quantification
9574. NeurIPS 2024Benchmarking Trustworthiness of Multimodal Large Language Models: A Comprehensive Study
9575. NeurIPS 2024BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays
9576. NeurIPS 2024BendVLM: Test-Time Debiasing of Vision-Language Embeddings
9577. NeurIPS 2024Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales
9578. NeurIPS 2024Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
9579. NeurIPS 2024Biologically Inspired Learning Model for Instructed Vision
9580. NeurIPS 2024Biomedical Visual Instruction Tuning with Clinician Preference Alignment
9581. NeurIPS 2024BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity
9582. NeurIPS 2024BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity
9583. NeurIPS 2024BiVLC: Extending Vision-Language Compositionality Evaluation with Text-to-Image Retrieval
9584. NeurIPS 2024Black-Box Forgetting
9585. NeurIPS 2024BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages
9586. NeurIPS 2024BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping
9587. NeurIPS 2024Boosting Vision-Language Models with Transduction
9588. NeurIPS 2024Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli
9589. NeurIPS 2024Bridge the Modality and Capability Gaps in Vision-Language Model Selection
9590. NeurIPS 2024CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset
9591. NeurIPS 2024Calibrated Self-Rewarding Vision Language Models
9592. NeurIPS 2024CALVIN: Improved Contextual Video Captioning via Instruction Tuning
9593. NeurIPS 2024Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
9594. NeurIPS 2024Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
9595. NeurIPS 2024Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation
9596. NeurIPS 2024CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
9597. NeurIPS 2024CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes
9598. NeurIPS 2024CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs
9599. NeurIPS 2024ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model
9600. NeurIPS 2024CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models

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.