Vision-Language Grounding

Follow this topic Ask about this topic

Momentum

44 papers in the last four weeks, up 175% on the four weeks before. 0.4% of all new papers.

Jul 13Week of Sep 28

Latest papers 288

All topics

LIBERO-Para: A Diagnostic Benchmark and Metrics for Paraphrase Robustness in VLA Models
Mar 30, 2026Chanyoung Kim, Minwoo Kim, Minseok Kang +2Vision-Language Grounding Vision-Language-Action Models
Soongsil University · Chung-Ang University
OptiSAR-Net++: A Large-Scale Benchmark and Transformer-Free Framework for Cross-Domain Remote Sensing Visual Grounding
Mar 25, 2026Xiaoyu Tang, Jun Dong, Jintao Cheng +1Remote Sensing Vision-Language Grounding
School of Electronics and Information Engineering, and Xingzhi College, South China Normal University, Foshan 528225, China · School of Data Science and Engineering, and Xingzhi College, South China Normal University, Shanwei, 516600, China · Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong SAR, China +1
The Dual Mechanisms of Spatial Variable Binding in Vision-Language Models
Mar 23, 2026Kelly Cui, Nikhil Prakash, Shoval Messica +4VLM Interpretability Vision-Language Grounding
MIT CSAIL · Northeastern University · Sony Playstation
GroundSet: A Cadastral-Grounded Dataset for Spatial Understanding with Vector Data
Mar 15, 2026Roger Ferrod, Maël Lecene, Krishna Sapkota +4VLM Evaluation Remote Sensing Image Understanding
Université Paris Cité, LIPADE, F-75006 Paris, France · Google Research
Keeping the Evidence Chain: Semantic Evidence Allocation for Training-Free Token Pruning in Video Temporal Grounding
Mar 5, 2026Jiaqi Li, Shuntian Zheng, Yixian Shen +4Temporal Video Grounding Vision-Language Grounding
University of Warwick, Coventry CV4 7AL, United Kingdom · University of Amsterdam, Amsterdam 1012 WX, Netherlands · Amazon AGI, The United States of America
Towards Long-Form Spatio-Temporal Video Grounding
Feb 26, 2026Xin Gu, Bing Fan, Jiali Yao +5Temporal Video Grounding Long-Context Modeling
University of Chinese Academy of Sciences · 2UNT · Institute of Software Chinese Academy of Sciences +2
Visual-Language-Guided Task Planning for Horticultural Robots
Jan 17, 2026Jose Cuaran, Kendall Koe, Aditya Potnis +2Large Language Model-Based Robot Planning Vision-Language Grounding
The Siebel School of Computing and Data Science, University of Illinois, Urbana-Champaign · National Center for Supercomputing Applications at University of Illinois, Urbana-Champaign · The Department of Agricultural and Biological Engineering, University of Illinois, Urbana-Champaign
PathFLIP: Fine-grained Language-Image Pretraining for Versatile Computational Pathology
Dec 19, 2025Fengchun Liu, Songhan Jiang, Linghan Cai +2Computational Pathology Vision-Language Grounding
Harbin Institute of Technology, Shenzhen, School of Computer Science and Technology · National University of Singapore, Department of Electronic and Computer Engineering
VLM2GeoVec: Toward Universal Multimodal Embeddings for Remote Sensing
Dec 12, 2025Emanuel Sánchez Aimar, Gulnaz Zhambulova, Fahad Shahbaz Khan +2Cross-Modal Learning Multimodal Embedding
Linköping University, Sweden
MMLongCite: A Benchmark for Evaluating Faithfulness of Long-Context Vision-Language Models
Oct 15, 2025Keyan Zhou, Zecheng Tang, Lingfeng Ming +9VLM Evaluation Vision-Language Grounding
Soochow University · ByteDance · Harbin Institute of Technology +1
Constructive Distortion: Improving MLLMs with Attention-Guided Image Warping
Oct 10, 2025Dwip Dalal, Gautam Vashishtha, Utkarsh Mishra +6Object Hallucination in VLMs Multimodal Large Language Models
University of Illinois Urbana–Champaign · Skan AI · Texas A&M University +1
Talk in Pieces, See in Whole: Disentangled and Hierarchical Representation Learning in Language-based Object Detection
Sep 29, 2025Sojung An, Kwanyong Park, Yong Jae Lee +1Open-Vocabulary Object Detection Disentangled Representation Learning
Korea University · University of Seoul · University of Wisconsin-Madison
RefAM: Attention Magnets for Zero-Shot Referral Segmentation
Sep 26, 2025Anna Kukleva, Enis Simsar, Alessio Tonioni +4Zero-Shot Learning Image Segmentation
Max Planck Institute for Informatics, SIC · ETH Zürich · Google +1
VMMU: A Vietnamese Multitask Multimodal Understanding and Reasoning Benchmark
Aug 19, 2025Vy Tuong Dang, An Vo, Emilio Villa-Cueva +4VLM Evaluation Multimodal Reasoning
KAIST · MBZUAI
TAR: Temporal Anchor-Constrained Reasoning for Video Temporal Grounding
Aug 11, 2025Chaohong Guo, Xun Mo, Yongwei Nie +3Temporal Video Grounding Vision-Language Models
South China University of Technology · Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ) · Bytedance Inc.
FORGE: Forensic Reasoning with Grounded Evidence
Mar 20, 2025Rohit Kundu, Shan Jia, Vishal Mohanty +2VLM Adaptation Explainable Deepfake Detection
University of California, Riverside · Google LLC
Fine-Grained Instruction-Guided Graph Reasoning for Vision-and-Language Navigation
Mar 14, 2025Yaohua Liu, Binkai Ou, Rong Fu +2Vision-Language Navigation Vision-Language Grounding
Faculty of Science and Technology, University of Macau, Macau 999078, China
Geometric Coastline Localization using Vision-Language Models
Date pendingRafia Malik, Bernhard Pfahringer, Karin Bryan +2Remote Sensing Image Understanding Geospatial Foundation Models
The University of Waikato, New Zealand · The University of Auckland, New Zealand

Mar 30, 2026, cs.LGJ/K move · Enter open · S save

LIBERO-Para: A Diagnostic Benchmark and Metrics for Paraphrase Robustness in VLA Models

Chanyoung Kim, Minwoo Kim, Minseok Kang, Hyunwoo Kim+1

Soongsil University · Chung-Ang University

Vision-Language Grounding Vision-Language-Action Models Robot Manipulation Benchmarks Instruction Generalization in VLA Models Robustness of VLA Models

Open paper AskPDF arXiv

Vision-Language-Action (VLA) models achieve strong performance in robotic manipulation by leveraging pre-trained vision-language backbones. However, in downstream robotic settings, they are typically fine-tuned with limited data, leading to overfitting to specific instruction formulations and leaving robustness to paraphrased instructions underexplored. To study this gap, we introduce LIBERO-Para, a controlled benchmark that independently varies action expressions and object references for fine-grained analysis of linguistic generalization. Across seven VLA configurations (0.6B-7.5B), we observe consistent performance degradation of 22-52 pp under paraphrasing. This degradation is primarily driven by object-level lexical variation: even simple synonym substitutions cause large drops, indicating reliance on surface-level matching rather than semantic grounding. Moreover, 80-96% of failures arise from planning-level trajectory divergence rather than execution errors, showing that paraphrasing disrupts task identification. Binary success rate treats all paraphrases equally, obscuring whether models perform consistently across difficulty levels or rely on easier cases. To address this, we propose PRIDE, a metric that quantifies paraphrase difficulty using semantic and syntactic factors. Our benchmark and corresponding code are available at: https://github.com/cau-hai-lab/LIBERO-Para

Momentum

Related topics

Latest papers 288