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20232026
most citedLLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition

12 citations · 12 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents

Peng Cai, Zhaofan Zou, Shifa Liu +7

Document parsing aims to transform unstructured documents into structured and machine-readable representations. Recent advances in Vision-Language Models (VLMs) have significantly…

cs.CV2026

LAGS: Low-Altitude Gaussian Splatting with Groupwise Heterogeneous Graph Learning

Yikun Wang, Yujie Wan, Wei Zuo +4

Low-altitude Gaussian splatting (LAGS) facilitates 3D scene reconstruction by aggregating aerial images from distributed drones. However, as LAGS prioritizes maximizing reconstruct…

cs.CV2025

GeoVista: Web-Augmented Agentic Visual Reasoning for Geolocalization

Yikun Wang, Zuyan Liu, Ziyi Wang +3

Current research on agentic visual reasoning enables deep multimodal understanding but primarily focuses on image manipulation tools, leaving a gap toward more general-purpose agen…

cs.CV2025

MoIIE: Mixture of Intra- and Inter-Modality Experts for Large Vision Language Models

Dianyi Wang, Siyuan Wang, Zejun Li +6

Large Vision-Language Models (LVLMs) have demonstrated remarkable performance across multi-modal tasks by scaling model size and training data. However, these dense LVLMs incur sig…

cs.CV2025

Autoregressive Semantic Visual Reconstruction Helps VLMs Understand Better

Dianyi Wang, Wei Song, Yikun Wang +4

Typical large vision-language models (LVLMs) apply autoregressive supervision solely to textual sequences, without fully incorporating the visual modality into the learning process…