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20232026
most citedTool Learning with Large Language Models: A Survey

86 citations · 154 across the 84 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

How to Utilize Complementary Vision-Text Information for 2D Structure Understanding

Jiancheng Dong, Pengyue Jia, Derong Xu +9

LLMs typically linearize 2D tables into 1D sequences to fit their autoregressive architecture, which weakens row-column adjacency and other layout cues. In contrast, purely visual…

cs.CV2026

HATS: Hardness-Aware Trajectory Synthesis for GUI Agents

Rui Shao, Ruize Gao, Bin Xie +5

Graphical user interface (GUI) agents powered by large vision-language models (VLMs) have shown remarkable potential in automating digital tasks, highlighting the need for high-qua…

cs.CV2025

VPN: Visual Prompt Navigation

Shuo Feng, Zihan Wang, Yuchen Li +6

While natural language is commonly used to guide embodied agents, the inherent ambiguity and verbosity of language often hinder the effectiveness of language-guided navigation in c…

cs.CV2025

Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization

Jiulong Wu, Zhengliang Shi, Shuaiqiang Wang +5

Large Visual Language Models (LVLMs) have demonstrated impressive capabilities across multiple tasks. However, their trustworthiness is often challenged by hallucinations, which ca…

cs.CV2024★ 2 cited

G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models

Pengyue Jia, Yiding Liu, Xiaopeng Li +7

Worldwide geolocalization aims to locate the precise location at the coordinate level of photos taken anywhere on the Earth. It is very challenging due to 1) the difficulty of capt…