activity
20232026
most citedG3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models

2 citations · 3 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2026

GUI-Lens: Coarse-to-Fine Cropping for GUI Grounding with General-Purpose VLMs

Zichuan Fu, Shirong Wang, Wenlin Zhang +10

GUI grounding maps natural-language instructions to click locations and is essential for reliable GUI agents. The task remains difficult on high-resolution, densely populated inter…

cs.IR2026

Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery

Xiaopeng Li, Wenlin Zhang, Yingyi Zhang +6

Deep Research agents driven by LLMs have automated the scholarly discovery pipeline, from planning and query formulation to iterative web exploration. Yet they remain constrained b…

cs.CV2026

GeoRouter: Dynamic Paradigm Routing for Worldwide Image Geolocalization

Pengyue Jia, Derong Xu, Yingyi Zhang +5

Worldwide image geolocalization aims to predict precise GPS coordinates for images captured anywhere on Earth, which is challenging due to the large visual and geographic diversity…

cs.CL2025

MTA: A Merge-then-Adapt Framework for Personalized Large Language Model

Xiaopeng Li, Yuanjin Zheng, Wanyu Wang +6

Personalized Large Language Models (PLLMs) aim to align model outputs with individual user preferences, a crucial capability for user-centric applications. However, the prevalent a…

cs.IR2025

Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval

Yingyi Zhang, Pengyue Jia, Derong Xu +9

Retrieval-Augmented Generation (RAG) critically depends on effective query expansion to retrieve relevant information. However, existing expansion methods adopt uniform strategies…

cs.CL2025

TAPO: Task-Referenced Adaptation for Prompt Optimization

Wenxin Luo, Weirui Wang, Xiaopeng Li +3

Prompt engineering can significantly improve the performance of large language models (LLMs), with automated prompt optimization (APO) gaining significant attention due to the time…

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…

cs.IR2023★ 1 cited

Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM

Xiaopeng Li, Lixin Su, Pengyue Jia +4

Search engines are crucial as they provide an efficient and easy way to access vast amounts of information on the internet for diverse information needs. User queries, even with a…

cs.IR2023

MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion

Pengyue Jia, Yiding Liu, Xiangyu Zhao +4

Query expansion, pivotal in search engines, enhances the representation of user information needs with additional terms. While existing methods expand queries using retrieved or ge…