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

1 citations · 1 across the 6 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.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.SE2026★ 1 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.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…