Large Vision Language Models

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STaR-KV: Spatio-Temporal Adaptive Re-weighting for KV Cache Compression in GUI Vision-Language Models
Jun 1, 2026Yuhang Han, Wenzheng Yang, Yujie Chen +4Key-Value Cache Compression Graphics Processing Unit Memory
EvoCut: Multi-Layer Evolution-Aware Visual Token Compression for Efficient Large Vision-Language Models
Jun 1, 2026Hongyu Lu, Feng Zhang, Wenwei Jin +5Token Compression Visual Tokens
Improving Visual Token Reduction via Rectifying Distortions for Efficient Multimodal LLM Inference
Jun 1, 2026Hyeonwoo Cho, Donghyeon Baek, Yewon Kim +1Vision-Language Distortion
What to Test Next: Interpretable Coverage Gap Discovery in Driving VLMs
Jun 1, 2026Abhishek Aich, Sparsh Garg, Vijay Kumar BG +2Ava-Vlm Verifier
Goal2Pixel: Grounding Goals to Pixels for Vision-Language Navigation
Jun 1, 2026Muyi Bao, Yuxin Cai, Hang Xu +7Vision-Language Navigation Large Vision Language Models
Self-Improving Small Object Grounding in LVLMs
Jun 1, 2026Tianze Yang, Yucheng Shi, Ruitong Sun +2Large Vision Language Models Recursive Self-Improvement
On the Limits of Token Reduction for Efficient Unified Vision Language Training
May 31, 2026Siyi Chen, Weiming Zhuang, Jingtao Li +1Large Vision Language Models
An Open-Source Benchmark and Baseline for Multi-temporal Referring Segmentation
May 31, 2026Bingyu Li, Da Zhang, Tao Huo +3Large Vision Language Models
RoboStressBench: Benchmarking VLM Robustness to Physical Visual Stress in Embodied Scenes
May 30, 2026Leyi Wu, Yifan Zhao, Jinjie Zhang +11Vision-Language
FlowOVD: Learning Generative Latent Flows for Zero-shot Open-vocabulary Detection
May 30, 2026Yao Wei, Andrea Cavallaro, Changjae OhOpen-Vocabulary Object Detection Open-Vocabulary
Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders
May 30, 2026Yitong Jiang, Hongjun Wang, Collin McCarthy +15Vision Encoders Parallel
Pause and Think: A Dataset and Benchmark for Video-Grounded Assistive Action Suggestion
May 30, 2026Shivam Singh, Saptarshi Majumder, Pratik Prabhanjan Brahma +2Large Vision Language Models Table Reasoning Datasets
Improving Visual Representation Alignment Generation with GRPO
May 30, 2026Shentong Mo, Sukmin YunVision Encoders Group Relative Policy Optimization
LASER: Loss-Aware Singular-value Decomposition and Rank Allocation for Efficient Low-Precision Vision-Language Models
May 30, 2026Haiyu Wang, Yutong Wang, Leshu Li +2Large Language Model Compression Low-Rank Factorization
Decomposed On-Policy Distillation for Vision-Language Reasoning: Steering Gradients for Visual Grounding
May 30, 2026Hee Suk Yoon, Eunseop Yoon, Jaehyun Jang +6Vision-Language On-Policy Distillation
DeepLatent: Think with Images via Parallel Latent Visual Reasoning
May 30, 2026Dongchen Lu, Zhimo Li, Mao Shu +1Latent Visual Reasoning Large Vision Language Models
Zamba2-VL Technical Report
May 29, 2026Hassan Shapourian, Kasra Hejazi, Olabode M. Sule +1Large Vision Language Models Technical Report
Hyperbolic and Evidence-Prioritized Experts for Large Vision-Language Models
May 29, 2026Zijie Zhou, Dandan Zhu, Hangxiangpan Wang +3Large Vision Language Models Cross-Modal Learning
Continuous Reasoning for Vision-Language-Action
May 29, 2026Yueh-Hua Wu, Tatsuya Matsushima, Kei OtaVision-Language-Action Models Large Vision Language Models
SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models
May 29, 2026Olaf Dünkel, Basavaraj Sunagad, Haoran Wang +3Vision Foundation Models Large Vision Language Models
Vision-Language Models Suppress Female Representations Under Ambiguous Input
May 29, 2026Arnau Marin-Llobet, Simon Henniger, Mahzarin R. BanajiVision-Language Gender
Personalize Your Large Vision-language Models With In-context Prompt Tuning
May 29, 2026Yanshu Li, Jiaqian Li, Kuai Yu +4Large Vision Language Models Prompt Tuning
YARD: Y-Architecture Register Decoding for Efficient Hallucination Mitigation in Large Vision-Language Models
May 29, 2026Ting Chen, Geng Li, Guohao Chen +5Large Vision Language Models Large Language Model Hallucination
"Înţelegi Româneşte?'' A Recipe for Romanian Vision-Language Models
May 29, 2026Mihai Masala, Marius Leordeanu, Mihai Dascalu +1Large Vision Language Models Machine Translation
Multi-Turn Multi-Agent Dialogue for Collaborative Reconstruction Improves VLM Performance on Spatial Reasoning, But Only Barely
May 29, 2026Chalamalasetti Kranti, Sherzod Hakimov, David SchlangenSpatial Reasoning Vision-Language
HARP-VLA: Human-Robot Aligned Representation Learning for Vision-Language-Action Model
May 29, 2026Xiang Zhu, Puzhen Yuan, Yichen Liu +1Vision-Language-Action Models Latent Actions
TALON: Token-Aligned Lightweight Adapters for 6-DoF Spacecraft Pose Estimation
May 29, 2026Abid Ali, Arunkumar Rathinam, Djamila AouadaCategory-Level Object Pose Estimation Frozen Vision-Language Models
SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes
May 29, 2026Tianhui Liu, Jie Feng, Zhiheng Zheng +6Spatial Reasoning Large Vision Language Models
A Pilot Study on Curator-Guided Multilingual Art Description for Blind and Low-Vision Audiences with Small Vision-Language Models
May 29, 2026Iosif Tsangko, Andreas Triantafyllopoulos, George Margetis +2Large Vision Language Models Blind Spots
What Makes LVLMs Hallucinate Less? Unveiling the Architectural Factors Behind Hallucination Robustness
May 29, 2026Yusheng He, Jizhe Zhou, Xia Du +3Large Language Model Hallucination Large Vision Language Models
Wall-OSS-0.5 Technical Report
May 29, 2026Ryan Yu, Pushi Zhang, Starrick Liu +24Pretrained Vision-Language-Action Executable Robot Behavior
Immuno-VLM: Immunizing Large Vision-Language Models via Generative Semantic Antibodies for Open-World Trustworthiness
May 29, 2026Xiang Fang, Wanlong Fang, Wei JiLarge Vision Language Models Outliers
Simple Token-Efficient Vision-Language Model for Case-level Pathology Synoptic Report Generation
May 29, 2026Zhiyuan Yang, Jiahao Cheng, Vincent Quoc-Huy Trinh +1Whole-Slide Images Medical Vision-Language Models
Diversity Matters: Revisiting Test-Time Compute in Vision-Language Models
May 29, 2026Yijie Tong, Yifan Hou, Shaobo Cui +2Large Vision Language Models Test Time
ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models
May 28, 2026Zihu Wang, Karthik Somayaji N. S, Peng LiLatent Visual Reasoning Large Vision Language Models
VLM3: Vision Language Models Are Native 3D Learners
May 28, 2026Zhipeng Cai, Zhuang Liu, Yunyang Xiong +33D Scene Understanding 3D Object Understanding
VLM-GLoc: Vision-Language Model Enhanced Monte Carlo Localization for Robust Semantic Global Localization in Cluttered Quasi-Static Environments
May 28, 2026Shivendra Agrawal, Bradley HayesSequential Visual Localization Vision-Language Navigation
Tiny but Trusted: Efficient Vision-Language Reasoning for Time-Series Anomaly Detection
May 28, 2026Xiaona Zhou, Muntasir Wahed, Tianjiao Yu +2Time-Series Anomaly Detection Anomalous Frame Detection
GPIC: A Giant Permissive Image Corpus for Visual Generation
May 28, 2026Keshigeyan Chandrasegaran, Kyle Sargent, Suchir Agarwal +6Vision Datasets Large-Scale Image Generation
LoMo: Local Modality Substitution for Deeper Vision-Language Fusion
May 28, 2026Feng Han, Zhixiong Zhang, Zheming Liang +2Large Vision Language Models Cross-Modal Learning
Reinforcement Learning with Robust Rubric Rewards
May 28, 2026Ya-Qi Yu, Hao Wang, Fangyu Hong +15Reinforcement Learning With Verifiable Reward Rubric-Based Reinforcement Learning
Unveiling the Visual Counting Bottleneck in Vision-Language Models
May 28, 2026Xingzhou Pang, Yifan Hou, Junling Wang +1Large Vision Language Models Extrapolation
PARCEL: Pool-Anchored Resampling with Conditioned Elastic Queries for Efficient Vision-Language Understanding
May 28, 2026Selim Kuzucu, Alessio Tonioni, Vasile Lup +3Visual Tokens Token Compression
FakeVLM-R1: Internalizing Physical Laws via CoT for Synthetic Image Detection
May 28, 2026Leqi Zhu, Junyan Ye, Kaiqing Lin +3Synthetic Image Detection Forgeries
EarlyTom: Early Token Compression Completes Fast Video Understanding
May 28, 2026Hesong Wang, Xin Jin, Lu Lu +4Token Compression Vision Encoders
Mitigating Hallucination in Vision-Language Models through Barrier-Regulated Adaptive Closed-form Steering
May 28, 2026Soumyadeep Jana, Pulkit Mittal, Sanasam Ranbir SinghLarge Vision Language Models Hallucinations
OccamToken: Efficient VLM Inference with Training-Free and Budget-Adaptive Token Pruning
May 28, 2026Geng Li, Guohao Chen, Ting Chen +6Visual Token Pruning Visual Tokens
Mind-Omni: A Unified Multi-Task Framework for Brain-Vision-Language Modeling via Discrete Diffusion
May 28, 2026Yizhuo Lu, Changde Du, Qingyu Shi +5Brain-Computer Interface Multi--Task Learning
Mitigating State Aliasing in Vision-Language-Action Models via Inverse Dynamics Learning
May 28, 2026Kyujin Lee, Injae Kim, Jihwan Park +3Vision-Language-Action Models Visuomotor Control
GiPL: Generative augmented iterative Pseudo-Labeling for Cross-Domain Few-Shot Object Detection
May 28, 2026Jiacong Liu, Shu Luo, Yikai Qin +3Few-Shot Segmentation Pseudo-Labeling
AsymVLM: Asymmetric Token Pruning for Efficient Vision-Language Model Inference
May 28, 2026Yilin Feng, Ahmed Burak Gulhan, Mahmut Taylan KandemirVisual Token Pruning Visual Tokens
On Asymmetric Optimization of Reasoning and Perception in Vision-Language Model Post-Training
May 28, 2026Xueqing Wu, Yu-Chi Lin, Kai-Wei Chang +1Large Vision Language Models Visual Reasoning
Benchmarking Large Vision-Language Models on CFMME: A Comprehensive Chinese Financial Multimodal Evaluation Dataset
May 28, 2026Qian Chen, Xianyin Zhang, Yanzhi Liu +3Multimodal Benchmarks Large Vision Language Models
Multi-Stage VLM Pipeline for Zero-Shot Traffic Accident Understanding
May 28, 2026Fumiya Tatematsu, Fumihiko TakahashiAccidents Robust Vehicle Recognition
Embodied3DBench: Benchmarking Low-Level Embodied Spatial Intelligence of Vision Language Models
May 27, 2026Jiyao Zhang, Mingxu Zhang, Yitong Peng +83D Spatial Reasoning Embodied Spatial Intelligence
VLMs May Not Globally Enhance Human Alignment over LLMs During Natural Reading
May 27, 2026Jinzhou Wu, Zhengwu Ma, Jixing Li +2Vision-Language Multilingual Large Language Models
Bias Leaves a Gradient Trail: Label-Free Bias Identification via Gradient Probes on Concept Decompositions
May 27, 2026Thomas Vitry, Kieran Edgeworth, Stefan Wermter +1Bias Mitigation Implicit Bias
Self-Prophetic Decoding to Unlock Visual Search in LVLMs
May 27, 2026Zhendong He, Qiyuan Dai, Guanbin Li +2Large Vision Language Models Multimodal Reasoning
JECA^2: Judgment-Explanation Consistent Adversarial Attack against Forensic Vision-Language Models
May 27, 2026Jiachen QianAdversarial Examples Large Vision Language Models
What Frozen VLAs Already Know About Success: A Probing Study of Value-Like Structure in Foundation Robot Policies
May 27, 2026Jiachen Zhang, Junnan Nie, Junyi Lao +4Flow-Matching Vision-Language-Action Frozen Vision-Language Models

Jun 1, 2026 · cs.CVJ/K move · Enter open · S save

STaR-KV: Spatio-Temporal Adaptive Re-weighting for KV Cache Compression in GUI Vision-Language Models

Yuhang Han, Wenzheng Yang, Yujie Chen, Xiangqi Jin+3

1EPIC Lab, SJTU · 2HKUST (GZ) · 3The University of Sydney · 2HKUST (GZ · 4UESTC

Vision-language-model-based graphical user interface (GUI) agents have shown broad automation capabilities, yet deployment is bottlenecked by a key-value (KV) cache that grows linearly with interaction steps. For instance, UI-TARS-1.5-7B consumes 76 GB of GPU memory on merely five screenshots, approaching the capacity of mainstream 80 GB accelerators. Existing KV compression methods share two structural assumptions: aggregating visual-token importance into a single shared saliency map, and applying a fixed top-B cutoff to the fused score distribution. Pilot measurements refute both: spatial specialization lives at the attention-subspace level and migrates across layers, while the score distribution drifts in shape along a trajectory. We propose STaR-KV (Spatio-Temporal Adaptive Re-weighting), a training-free KV cache compression framework that calibrates token importance along three axes: (i) subspace-aware scoring driven by online spatial mutual information; (ii) a temporal stability discount that suppresses redundant cache entries from persistently attended subspaces; and (iii) an entropy-derived temperature that adaptively reshapes the score distribution. Across four GUI benchmarks, STaR-KV achieves the strongest average accuracy among state-of-the-art KV compression methods (e.g., GUIKV, SnapKV) at matched budgets, with no compression-stage FLOPs overhead (-0.07%) and cutting peak GPU memory by nearly 40% at a 20% KV-cache budget. Code is available at https://github.com/kawhiiiileo/STaR-KV.

Key-Value Cache Compression Graphics Processing Unit Memory Cache Large Vision Language Models Graphical User Interface Star-Kv

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