:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Yangfu, Zhan, Hongjian, Chen, Jiawei, Gong, Yuning, Liu, Qi, Lu, Yue
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2603.03857
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Perceptual Flow Network for Visually Grounded Reasoning
by: Li, Yangfu, et al.
Published: (2026)

Why 1 + 1 < 1 in Visual Token Pruning: Beyond Naive Integration via Multi-Objective Balanced Covering
by: Li, Yangfu, et al.
Published: (2025)

DO-Bench: An Attributable Benchmark for Diagnosing Object Hallucination in Vision-Language Models
by: Wang, JiYang, et al.
Published: (2026)

GeoGround: A Unified Large Vision-Language Model for Remote Sensing Visual Grounding
by: Zhou, Yue, et al.
Published: (2024)

See It, Say It, Sorted: An Iterative Training-Free Framework for Visually-Grounded Multimodal Reasoning in LVLMs
by: Zhang, Yongchang, et al.
Published: (2026)

ROVER: Routing Object-Centric Visual Evidence for Grounded Multi-Image Reasoning
by: Lv, Guannan, et al.
Published: (2026)

Connecting the Dots: Training-Free Visual Grounding via Agentic Reasoning
by: Luo, Liqin, et al.
Published: (2025)

MathSight: A Benchmark Exploring Have Vision-Language Models Really Seen in University-Level Mathematical Reasoning?
by: Wang, Yuandong, et al.
Published: (2025)

EGM: Efficient Visual Grounding Language Models
by: Zhan, Guanqi, et al.
Published: (2026)

KPL: Training-Free Medical Knowledge Mining of Vision-Language Models
by: Liu, Jiaxiang, et al.
Published: (2025)

View-on-Graph: Zero-shot 3D Visual Grounding via Vision-Language Reasoning on Scene Graphs
by: Liu, Yuanyuan, et al.
Published: (2025)

Fine-Grained Post-Training Quantization for Large Vision Language Models with Quantization-Aware Integrated Gradients
by: Xiang, Ziwei, et al.
Published: (2026)

VGTS: Visually Guided Text Spotting for Novel Categories in Historical Manuscripts
by: Hu, Wenbo, et al.
Published: (2023)

Language-to-Space Programming for Training-Free 3D Visual Grounding
by: Mi, Boyu, et al.
Published: (2025)

Personalization Toolkit: Training Free Personalization of Large Vision Language Models
by: Seifi, Soroush, et al.
Published: (2025)

Entropy-Gradient Grounding: Training-Free Evidence Retrieval in Vision-Language Models
by: Gröpl, Marcel, et al.
Published: (2026)

Decomposed On-Policy Distillation for Vision-Language Reasoning: Steering Gradients for Visual Grounding
by: Yoon, Hee Suk, et al.
Published: (2026)

AgriChain Visually Grounded Expert Verified Reasoning for Interpretable Agricultural Vision Language Models
by: Mahmood, Hazza, et al.
Published: (2026)

CaMo: Camera Motion Grounded Evaluation and Training for Vision-Language Models
by: Huang, Hsiang-Wei, et al.
Published: (2026)

ScanReason: Empowering 3D Visual Grounding with Reasoning Capabilities
by: Zhu, Chenming, et al.
Published: (2024)

Visual Reasoning Tracer: Object-Level Grounded Reasoning Benchmark
by: Yuan, Haobo, et al.
Published: (2025)

Enhancing Visual Grounding and Generalization: A Multi-Task Cycle Training Approach for Vision-Language Models
by: Yang, Xiaoyu, et al.
Published: (2023)

VisionCoach: Reinforcing Grounded Video Reasoning via Visual-Perception Prompting
by: Lee, Daeun, et al.
Published: (2026)

EvoCut: Multi-Layer Evolution-Aware Visual Token Compression for Efficient Large Vision-Language Models
by: Lu, Hongyu, et al.
Published: (2026)

SpatialRGPT: Grounded Spatial Reasoning in Vision Language Models
by: Cheng, An-Chieh, et al.
Published: (2024)

Reasoning or Pattern Matching? Probing Large Vision-Language Models with Visual Puzzles
by: Lymperaiou, Maria, et al.
Published: (2026)

Learning Visual Grounding from Generative Vision and Language Model
by: Wang, Shijie, et al.
Published: (2024)

UniGround: Universal 3D Visual Grounding via Training-Free Scene Parsing
by: Zhang, Jiaxi, et al.
Published: (2026)

Large Language Models are Universal Reasoners for Visual Generation
by: Ren, Sucheng, et al.
Published: (2026)

CRoPS: A Training-Free Hallucination Mitigation Framework for Vision-Language Models
by: Anand, Neeraj, et al.
Published: (2026)

Grounded 3D-Aware Spatial Vision-Language Modeling
by: Cheng, An-Chieh, et al.
Published: (2026)

DVGBench: Implicit-to-Explicit Visual Grounding Benchmark in UAV Imagery with Large Vision-Language Models
by: Zhou, Yue, et al.
Published: (2026)

Towards Grounded Visual Spatial Reasoning in Multi-Modal Vision Language Models
by: Rajabi, Navid, et al.
Published: (2023)

ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models
by: Wu, Mingrui, et al.
Published: (2024)

VGRP-Bench: Visual Grid Reasoning Puzzle Benchmark for Large Vision-Language Models
by: Ren, Yufan, et al.
Published: (2025)

Chain-of-Spot: Interactive Reasoning Improves Large Vision-Language Models
by: Liu, Zuyan, et al.
Published: (2024)

Recursive Visual Imagination and Adaptive Linguistic Grounding for Vision Language Navigation
by: Chen, Bolei, et al.
Published: (2025)

Point-It-Out: Benchmarking Embodied Reasoning for Vision Language Models in Multi-Stage Visual Grounding
by: Xue, Haotian, et al.
Published: (2025)

Scanning Only Once: An End-to-end Framework for Fast Temporal Grounding in Long Videos
by: Pan, Yulin, et al.
Published: (2023)

Benchmarking Large Vision-Language Models via Directed Scene Graph for Comprehensive Image Captioning
by: Lu, Fan, et al.
Published: (2024)