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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 10 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

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.AI2025

EnvX: Agentize Everything with Agentic AI

Linyao Chen, Zimian Peng, Yingxuan Yang +4

The widespread availability of open-source repositories has led to a vast collection of reusable software components, yet their utilization remains manual, error-prone, and disconn…

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…

cs.CL2025

GeometryZero: Advancing Geometry Solving via Group Contrastive Policy Optimization

Yikun Wang, Yibin Wang, Dianyi Wang +4

Recent progress in large language models (LLMs) has boosted mathematical reasoning, yet geometry remains challenging where auxiliary construction is often essential. Prior methods…

cs.CL2025

VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search

Yikun Wang, Siyin Wang, Qinyuan Cheng +5

Recent advancements in Large Vision-Language Models have showcased remarkable capabilities. However, they often falter when confronted with complex reasoning tasks that humans typi…