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

321 papers, page 6 of 7

251. ICLR 2024Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
252. ICLR 2024Sign2GPT: Leveraging Large Language Models for Gloss-Free Sign Language Translation
253. ICLR 2024Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation
254. ICLR 2024Skip-Attention: Improving Vision Transformers by Paying Less Attention
255. ICLR 2024SLiMe: Segment Like Me
256. ICLR 2024Soft Contrastive Learning for Time Series
257. ICLR 2024SPDER: Semiperiodic Damping-Enabled Object Representation
258. ICLR 2024SpeechTokenizer: Unified Speech Tokenizer for Speech Language Models
259. ICLR 2024SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning
260. ICLR 2024Stable Anisotropic Regularization
261. ICLR 2024Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds
262. ICLR 2024Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects
263. ICLR 2024STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models
264. ICLR 2024Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding
265. ICLR 2024SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs
266. ICLR 2024SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS
267. ICLR 2024Synergistic Patch Pruning for Vision Transformer: Unifying Intra- & Inter-Layer Patch Importance
268. ICLR 2024T-MARS: Improving Visual Representations by Circumventing Text Feature Learning
269. ICLR 2024Tag2Text: Guiding Vision-Language Model via Image Tagging
270. ICLR 2024Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
271. ICLR 2024Talk like a Graph: Encoding Graphs for Large Language Models
272. ICLR 2024Teach LLMs to Phish: Stealing Private Information from Language Models
273. ICLR 2024Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs
274. ICLR 2024Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models
275. ICLR 2024The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World
276. ICLR 2024The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
277. ICLR 2024The Effectiveness of Random Forgetting for Robust Generalization
278. ICLR 2024The Generative AI Paradox: “What It Can Create, It May Not Understand”
279. ICLR 2024The Need for Speed: Pruning Transformers with One Recipe
280. ICLR 2024The Reversal Curse: LLMs trained on “A is B” fail to learn “B is A”
281. ICLR 2024The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
282. ICLR 2024The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
283. ICLR 2024The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric
284. ICLR 2024Think before you speak: Training Language Models With Pause Tokens
285. ICLR 2024TiC-CLIP: Continual Training of CLIP Models
286. ICLR 2024Time Travel in LLMs: Tracing Data Contamination in Large Language Models
287. ICLR 2024Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
288. ICLR 2024TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning
289. ICLR 2024Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models
290. ICLR 2024Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs
291. ICLR 2024Towards Foundation Models for Knowledge Graph Reasoning
292. ICLR 2024Towards Generative Abstract Reasoning: Completing Raven’s Progressive Matrix via Rule Abstraction and Selection
293. ICLR 2024Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
294. ICLR 2024Training Diffusion Models with Reinforcement Learning
295. ICLR 2024Unbiased Watermark for Large Language Models
296. ICLR 2024Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions
297. ICLR 2024Understanding prompt engineering may not require rethinking generalization
298. ICLR 2024Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP
299. ICLR 2024UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling
300. ICLR 2024Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization

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.