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 31 of 225

1501. ICLR 2026Bridging the Gap Between Promise and Performance for FP4 Quantization
1502. ICLR 2026C-Evolve: Consensus-based Evolution for Prompt Groups
1503. ICLR 2026Cache What Lasts: Token Retention for Memory-Bounded KV Cache in LLMs
1504. ICLR 2026Cache-to-Cache: Direct Semantic Communication Between Large Language Models
1505. ICLR 2026Cactus: Accelerating Auto-Regressive Decoding with Constrained Acceptance Speculative Sampling
1506. ICLR 2026cadrille: Multi-modal CAD Reconstruction with Reinforcement Learning
1507. ICLR 2026Calibrating Verbalized Confidence with Self-Generated Distractors
1508. ICLR 2026Can Large Language Models Match the Conclusions of Systematic Reviews?
1509. ICLR 2026Can LLMs Move Beyond Short Exchanges to Realistic Therapy Conversations?
1510. ICLR 2026Can LLMs Reason Soundly in Law? Auditing Inference Patterns for Legal Judgment
1511. ICLR 2026Can LLMs Refuse Questions They Do Not Know? Measuring Knowledge-Aware Refusal in Factual Tasks
1512. ICLR 2026Can SAEs reveal and mitigate racial biases of LLMs in healthcare?
1513. ICLR 2026Can Vision-Language Models Answer Face to Face Questions in the Real-World?
1514. ICLR 2026Can Vision–Language Models Assess Graphic Design Aesthetics? A Benchmark, Evaluation, and Dataset Perspective.
1515. ICLR 2026Can we generate portable representations for clinical time series data using LLMs?
1516. ICLR 2026Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of Experts
1517. ICLR 2026CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement Learning
1518. ICLR 2026CAR-LoRA: Training Compression-Aware and Robust LoRA Adapters for Evolving LLMs
1519. ICLR 2026CARE: Towards Clinical Accountability in Multi-Modal Medical Reasoning with an Evidence-Grounded Agentic Framework
1520. ICLR 2026CaReBench: A Fine-grained Benchmark for Video Captioning and Retrieval
1521. ICLR 2026CARL: Camera-Agnostic Representation Learning for Spectral Image Analysis
1522. ICLR 2026CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Vision-Language Model
1523. ICLR 2026Cascadia: An Efficient Cascade Serving System for Large Language Models
1524. ICLR 2026Cat-PO: Cross-modal Adaptive Token-rewards for Preference Optimization in Truthful Multimodal LLMs
1525. ICLR 2026Catching the Details: Self-Distilled RoI Predictors for Fine-Grained MLLM Perception
1526. ICLR 2026CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers for Causally Constrained Predictions
1527. ICLR 2026CaTS: Calibrated Test-Time Scaling for Efficient LLM Reasoning
1528. ICLR 2026Causality ≠ Invariance: Function and Concept Vectors in LLMs
1529. ICLR 2026Cautious Optimizers: Improving Training with One Line of Code
1530. ICLR 2026CellDuality: Unlocking Biological Reasoning in LLMs with Self-Supervised RLVR
1531. ICLR 2026CerebraGloss: Instruction-Tuning a Large Vision-Language Model for Fine-Grained Clinical EEG Interpretation
1532. ICLR 2026ChainMPQ: Interleaved Text-Image Reasoning Chains for Mitigating Relation Hallucinations
1533. ICLR 2026Channel-Aware Mixed-Precision Quantization for Efficient Long-Context Inference
1534. ICLR 2026Chart Deep Research in LVLMs via Parallel Relative Policy Optimization
1535. ICLR 2026ChartGalaxy: A Dataset for Infographic Chart Understanding and Generation
1536. ICLR 2026ChemEval: A Multi-level and Fine-grained Chemical Capability Evaluation for Large Language Models
1537. ICLR 2026Children's Intelligence Tests Pose Challenges for MLLMs? KidGym: A 2D Grid-Based Reasoning Benchmark for MLLMs
1538. ICLR 2026ChronoEdit: Towards Temporal Reasoning for In-Context Image Editing and World Simulation
1539. ICLR 2026CIMemories: A Compositional Benchmark For Contextual Integrity In LLMs
1540. ICLR 2026CityLens: Evaluating Large Vision-Language Models for Urban Socioeconomic Sensing
1541. ICLR 2026CitySeeker: How Do VLMs Explore Embodied Urban Navigation with Implicit Human Needs?
1542. ICLR 2026CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk
1543. ICLR 2026CLIP Behaves like a Bag-of-Words Model Cross-modally but not Uni-modally
1544. ICLR 2026CLIP-FMoE: Scalable CLIP via Fused Mixture-of-Experts with Enforced Specialization
1545. ICLR 2026Closing the Gap Between Text and Speech Understanding in LLMs
1546. ICLR 2026Closing the Modality Gap Aligns Group-Wise Semantics
1547. ICLR 2026CLUE: Conflict-guided Localization for LLM Unlearning Framework
1548. ICLR 2026Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models
1549. ICLR 2026CodeBrain: Towards Decoupled Interpretability and Multi-Scale Architecture for EEG Foundation Model
1550. ICLR 2026CodeQuant: Unified Clustering and Quantization for Enhanced Outlier Smoothing in Low-Precision Mixture-of-Experts

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.