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

3,319 papers, page 3 of 67

101. NeurIPS 2026ASVQ: What Reparameterization Is Just Enough for Efficient Codebook Learning?
102. NeurIPS 2026AsymHP: Load-Balanced Sparse Attention for Video Diffusion Transformers
103. NeurIPS 2026Asymptotically Log-Optimal Bayes-Assisted Confidence Sequences for Bounded Means
104. NeurIPS 2026Attending on Attention ($A^2$): Smaller Self-Supervised ViTs Localize Better Than Larger Ones
105. NeurIPS 2026Attention Alignment Between Humans and Vision-Language Models
106. NeurIPS 2026Attention Heads are Complementary Visual Units: Mitigating Hallucinations in LVLMs via Adaptive Visual Cues Focusing
107. NeurIPS 2026Attention Transfer Is Not Universally Effective for Vision Transformers
108. NeurIPS 2026Attention-based PCA
109. NeurIPS 2026Attention-based Routing for Interpretable Multimodal Brain Encoding
110. NeurIPS 2026Audible World Models: Spatially Aware Sound Generation for 3D Worlds
111. NeurIPS 2026Auditing Attention Head Masking for Out-of-Distribution Detection: Cross-Architecture Wins, Failures, and Polarity Inversions
112. NeurIPS 2026Auditing Capsule Vision 2024: Within-Split Train-to-Validation Re-Exposure and a Kvasir-Channel Sensitivity Diagnostic
113. NeurIPS 2026Auditing Sabotage Bench: A Benchmark for Detecting and Fixing Research Sabotage in ML Codebases
114. NeurIPS 2026Auteur: Language-Driven Cinematographic Framing for Human-Centric Video Generation
115. NeurIPS 2026Auto-Rubric as Reward: From Implicit Preference to Explicit Generative Criteria
116. NeurIPS 2026Automatically Refining Coding Rules for AI Coding Agents
117. NeurIPS 2026Automotive-ENV: Benchmarking Multimodal Models in Automotive Cockpit Environments
118. NeurIPS 2026Auxiliary Clues Aware’s Geometry Problem Solving
119. NeurIPS 2026AVI-HT: Adaptive Vision-IMU Fusion for 3D Hand Tracking
120. NeurIPS 2026AVIS: Adaptive Test-Time Scaling for Vision–Language Models
121. NeurIPS 2026AVOC: Enhancing Hour-Level Audio-Video Understanding in Omni-Modal LLMs via Retrieval-Inspired Token Compression
122. NeurIPS 2026BabyTheorist: A Benchmark for Learning to Theorize the World from Observation Alone
123. NeurIPS 2026Backdoor Purification for LoRA-Tuned LLMs via Null-Space Projection
124. NeurIPS 2026BAPM: Boundary-Aware Prompt Mining for Training-Free Few-Shot Medical Image Segmentation
125. NeurIPS 2026Barycentric Guidance: Turning Foundation Image Editors into Continuous Affective Controllers
126. NeurIPS 2026BasicLT: Basic-Level Abstraction and Selective Differentiation for Long-Tailed Recognition
127. NeurIPS 2026Batch-Conditioned Semantic Anchors for Robust Transductive Adaptation of Vision--Language Models
128. NeurIPS 2026Baton: Explicit Semantic Blueprints for Joint Video-Audio Generation
129. NeurIPS 2026BBOWP-Bench: Evaluating LLMs on Black-Box Optimization Word Problems
130. NeurIPS 2026BEAKER: An Expert-Curated Benchmark for Embodied Brains in Self-Driving Chemical Laboratories
131. NeurIPS 2026Before It Fades: Reinforcing Temporal Representations at Inference Time in VideoLLMs
132. NeurIPS 2026Before Words, Beyond Speech: Evaluating Nonverbal Social Reasoning in Early Childhood
133. NeurIPS 2026Behavior Pack Optimization for Video MLLM Post-Training
134. NeurIPS 2026Behavioral Geometric Supervision Aligns Video Foundation Models with Human Social Perception
135. NeurIPS 2026Benchmark for Assessing Olfactory Perception of Large Language Models
136. NeurIPS 2026Benchmark Recovery Does Not Certify a Frozen Tool-Trigger Contract After Quantization
137. NeurIPS 2026Benchmark Shadows: How Data Regimes Shape Parameter Footprints and Generalization
138. NeurIPS 2026Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs
139. NeurIPS 2026Benchmarking Compositional Generalisation for Machine Learning Interatomic Potentials
140. NeurIPS 2026Benchmarking Fine-Grained Spatio-Temporal Awareness in Embodied Brain Models
141. NeurIPS 2026Benchmarking Multimodal Mathematical Reasoning with Explicit Visual Dependency
142. NeurIPS 2026Benchmarking Optimizers for Large Language Model Pretraining
143. NeurIPS 2026Benchmarking Risk Attitudes of LLMs
144. NeurIPS 2026BESS-Bench: Benchmarking Spectral Representations for Be-Star Variability
145. NeurIPS 2026Better Language Models Require Better Domain-Specific Inductive Biases
146. NeurIPS 2026Beyond [SEG] Tokens: Training-Free Video Reasoning Segmentation via Counterfactual Inference and Contrastive Concept
147. NeurIPS 2026Beyond Adjacent Layers: Graph-Guided Layer Fusion for Compressing Large Language Models
148. NeurIPS 2026Beyond Appearance Shifts: Task-Semantic Action Calibration for VLA Models
149. NeurIPS 2026Beyond Bag-of-Words: Diagnosing Compositional Binding Failures in Vision-Language Models
150. NeurIPS 2026Beyond Bit Matching: Orthogonal Watermarks for Collusion-Resistant Image Fingerprinting

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.