Vision-Language-Action papers, 2023–2026

Key findings

• Vision-Language-Action went from 257 papers in 2023 to 708 in 2026, roughly 2.8x in three years.
• CVPR publishes the most Vision-Language-Action work: 640 papers from 2023 to 2026, 39% of the four-venue total.
• The fastest-growing overlap is with Applications · computer vision: papers tagged with both rose from 21 in 2023 to 135 in 2026.
• Among the 5 topics under Robotics and Embodied AI, it ranks #1 by 2026 paper count; the fastest grower in the group, Humanoid Control, is up 3.8x versus 2.8x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Dual-Domain Vision Transformer with Spectral Positional Bias
• ICML 2026FOCA: Future-Oriented Conditioning for Data-Efficient Vision-Language-Action Adaptation
• ICLR 2026Curvature-Guided Task Synergy for Skeleton based Temporal Action Segmentation
• CVPR 2026ActAvatar Temporally-Aware Precise Action Control for Talking Avatars
• NeurIPS 2025Doodle to Detect: A Goofy but Powerful Approach to Skeleton-based Hand Gesture Recognition
• ICML 2025Feasible Action Search for Bandit Linear Programs via Thompson Sampling
• ICLR 2025Action Sequence Augmentation for Action Anticipation
• CVPR 2025Active Event-based Stereo Vision
• NeurIPS 2024GAIA: Rethinking Action Quality Assessment for AI-Generated Videos
• ICML 2024Causal Action Influence Aware Counterfactual Data Augmentation
• ICLR 2024Matrix Manifold Neural Networks++
• CVPR 2024End-to-End Spatio-Temporal Action Localisation with Video Transformers
• NeurIPS 2023Activity Grammars for Temporal Action Segmentation
• ICML 2023Algorithmic Collective Action in Machine Learning
• ICLR 2023A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity
• CVPR 20233Mformer: Multi-Order Multi-Mode Transformer for Skeletal Action Recognition
• NeurIPS 2026A Statistical Framework for Algorithmic Collective Action with Multiple Collectives
• ICML 2026From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model
• ICLR 2026EAST: Early Action Prediction Sampling Strategy with Token Masking
• CVPR 2026DarkShake-DVS Event-based Human Action Recognition under Low-light and Shaking Camera

All Vision-Language-Action papers

329 papers, page 5 of 7

201. ICML 2024OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization
202. ICML 2024Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners
203. ICML 2024Position: A Call to Action for a Human-Centered AutoML Paradigm
204. ICML 2024Position: Do Not Explain Vision Models Without Context
205. ICML 2024Position: The Platonic Representation Hypothesis
206. ICML 2024Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss
207. ICML 2024PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control
208. ICML 2024Revealing Vision-Language Integration in the Brain with Multimodal Networks
209. ICML 2024Revisiting the Role of Language Priors in Vision-Language Models
210. ICML 2024RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning
211. ICML 2024RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
212. ICML 2024Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models
213. ICML 2024Stochastic Q-learning for Large Discrete Action Spaces
214. ICML 2024Taylor Videos for Action Recognition
215. ICML 2024The Role of Learning Algorithms in Collective Action
216. ICML 2024TVE: Learning Meta-attribution for Transferable Vision Explainer
217. ICML 2024Using Left and Right Brains Together: Towards Vision and Language Planning
218. ICML 2024ViP: A Differentially Private Foundation Model for Computer Vision
219. ICML 2024Vision Transformers as Probabilistic Expansion from Learngene
220. ICML 2024Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models
221. ICML 2024When Do Skills Help Reinforcement Learning? A Theoretical Analysis of Temporal Abstractions
222. NeurIPS 20243DET-Mamba: Causal Sequence Modelling for End-to-End 3D Object Detection
223. NeurIPS 2024A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks
224. NeurIPS 2024Accelerating Transformers with Spectrum-Preserving Token Merging
225. NeurIPS 2024ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation
226. NeurIPS 2024Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning
227. NeurIPS 2024ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition
228. NeurIPS 2024AdanCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer
229. NeurIPS 2024Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization
230. NeurIPS 2024Are We on the Right Way for Evaluating Large Vision-Language Models?
231. NeurIPS 2024Avoiding Undesired Future with Minimal Cost in Non-Stationary Environments
232. NeurIPS 2024BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays
233. NeurIPS 2024BendVLM: Test-Time Debiasing of Vision-Language Embeddings
234. NeurIPS 2024Biologically Inspired Learning Model for Instructed Vision
235. NeurIPS 2024CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes
236. NeurIPS 2024CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition
237. NeurIPS 2024ClevrSkills: Compositional Language And Visual Reasoning in Robotics
238. NeurIPS 2024Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers
239. NeurIPS 2024CoFie: Learning Compact Neural Surface Representations with Coordinate Fields
240. NeurIPS 2024Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning
241. NeurIPS 2024Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving
242. NeurIPS 2024ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Ablation Capability for Large Vision-Language Models
243. NeurIPS 2024Demystify Mamba in Vision: A Linear Attention Perspective
244. NeurIPS 2024DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception
245. NeurIPS 2024Depth Anything V2
246. NeurIPS 2024Dissecting Query-Key Interaction in Vision Transformers
247. NeurIPS 2024Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
248. NeurIPS 2024Efficient Temporal Action Segmentation via Boundary-aware Query Voting
249. NeurIPS 2024Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers
250. NeurIPS 2024Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking

FAQ

How many Vision-Language-Action papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

1,639 in total: 257 in 2023, 329 in 2024, 345 in 2025, 708 in 2026.

How many Vision-Language-Action papers are at NeurIPS 2026?

NeurIPS 2026 has 204 Vision-Language-Action papers, versus 108 the year before.

How many Vision-Language-Action papers are at ICLR 2026?

ICLR 2026 has 113 Vision-Language-Action papers, versus 64 the year before.

How many Vision-Language-Action papers are at ICML 2026?

ICML 2026 has 126 Vision-Language-Action papers, versus 33 the year before.

How many Vision-Language-Action papers are at CVPR 2026?

CVPR 2026 has 265 Vision-Language-Action papers, versus 140 the year before.

Which conference publishes the most Vision-Language-Action papers?

CVPR, with 640 papers from 2023 to 2026.