most citedToolRosella: Translating Code Repositories into Standardized Tools for Scientific Agents

1 citations · 1 across the 4 of their papers we have counts for

collaborators

6 papers

cs.AI2026

UrbanAgent: A Tool-Augmented Agent for Cross-System Urban Tasks

Jiayu Cao, Xingyuan Zeng, feiyu Li +6

Modern cities rely on an increasing number of digital services to operate, but residents' daily needs are still difficult to meet. Services are fragmented and have little interoper…

cs.SE20261 cited

ToolRosella: Translating Code Repositories into Standardized Tools for Scientific Agents

Shimin Di, Xujie Yuan, Hanghui Guo +10

Large Language Model (LLM)-based agent systems are increasingly used for scientific tasks, yet their practical capability remains constrained by the narrow scope of manually curate…

cs.IR2026

SAKE: Self-aware Knowledge Exploitation-Exploration for Grounded Multimodal Named Entity Recognition

Jielong Tang, Xujie Yuan, Jiayang Liu +6

Grounded Multimodal Named Entity Recognition (GMNER) aims to extract named entities and localize their visual regions within image-text pairs, serving as a pivotal capability for v…

cs.MA2026

PeroMAS: A Multi-agent System of Perovskite Material Discovery

Yishu Wang, Wei Liu, Yifan Li +8

As a pioneer of the third-generation photovoltaic revolution, Perovskite Solar Cells (PSCs) are renowned for their superior optoelectronic performance and cost potential. The devel…

cs.IR2025

Towards Self-cognitive Exploration: Metacognitive Knowledge Graph Retrieval Augmented Generation

Xujie Yuan, Shimin Di, Jielong Tang +2

Knowledge Graph-based Retrieval-Augmented Generation (KG-RAG) significantly enhances the reasoning capabilities of LargeLanguage Models by leveraging structured knowledge. However,…

cs.AI2025

A Pilot Empirical Study on When and How to Use Knowledge Graphs as Retrieval Augmented Generation

Xujie Yuan, Yongxu Liu, Shimin Di +6

The integration of Knowledge Graphs (KGs) into the Retrieval Augmented Generation (RAG) framework has attracted significant interest, with early studies showing promise in mitigati…