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

816 papers, page 13 of 17

601. ICLR 2025Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)
602. ICLR 2025Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models
603. ICLR 2025Revisiting Convolution Architecture in the Realm of DNA Foundation Models
604. ICLR 2025Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning
605. ICLR 2025Robust Function-Calling for On-Device Language Model via Function Masking
606. ICLR 2025RobustKV: Defending Large Language Models against Jailbreak Attacks via KV Eviction
607. ICLR 2025Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions
608. ICLR 2025Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference
609. ICLR 2025Round and Round We Go! What makes Rotary Positional Encodings useful?
610. ICLR 2025RouteLLM: Learning to Route LLMs from Preference Data
611. ICLR 2025Routing Experts: Learning to Route Dynamic Experts in Existing Multi-modal Large Language Models
612. ICLR 2025SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations
613. ICLR 2025SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration
614. ICLR 2025Salvage: Shapley-distribution Approximation Learning Via Attribution Guided Exploration for Explainable Image Classification
615. ICLR 2025SAM 2: Segment Anything in Images and Videos
616. ICLR 2025SAM-CP: Marrying SAM with Composable Prompts for Versatile Segmentation
617. ICLR 2025Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models
618. ICLR 2025SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement
619. ICLR 2025SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP
620. ICLR 2025SBSC: Step-by-Step Coding for Improving Mathematical Olympiad Performance
621. ICLR 2025Scaling Laws for Downstream Task Performance in Machine Translation
622. ICLR 2025Scaling Laws for Precision
623. ICLR 2025Scaling Long Context Training Data by Long-Distance Referrals
624. ICLR 2025Scaling Optimal LR Across Token Horizons
625. ICLR 2025Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study
626. ICLR 2025Scaling Wearable Foundation Models
627. ICLR 2025SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
628. ICLR 2025ScImage: How good are multimodal large language models at scientific text-to-image generation?
629. ICLR 2025Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer
630. ICLR 2025See It from My Perspective: How Language Affects Cultural Bias in Image Understanding
631. ICLR 2025See What You Are Told: Visual Attention Sink in Large Multimodal Models
632. ICLR 2025SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators
633. ICLR 2025SegLLM: Multi-round Reasoning Segmentation with Large Language Models
634. ICLR 2025Segment Any 3D Object with Language
635. ICLR 2025Selective Attention Improves Transformer
636. ICLR 2025Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models
637. ICLR 2025Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models
638. ICLR 2025Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts
639. ICLR 2025Self-Updatable Large Language Models by Integrating Context into Model Parameters
640. ICLR 2025Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMs
641. ICLR 2025Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement Learning
642. ICLR 2025Semantics-Adaptive Activation Intervention for LLMs via Dynamic Steering Vectors
643. ICLR 2025Semi-Supervised CLIP Adaptation by Enforcing Semantic and Trapezoidal Consistency
644. ICLR 2025Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning
645. ICLR 2025Shared-AE: Automatic Identification of Shared Subspaces in High-dimensional Neural and Behavioral Activity
646. ICLR 2025Shot2Story: A New Benchmark for Comprehensive Understanding of Multi-shot Videos
647. ICLR 2025Should VLMs be Pre-trained with Image Data?
648. ICLR 2025Show-o: One Single Transformer to Unify Multimodal Understanding and Generation
649. ICLR 2025SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments
650. ICLR 2025Sketch2Diagram: Generating Vector Diagrams from Hand-Drawn Sketches

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.