collaborators

5 papers

cs.AI2026

D-Artemis: A Deliberative Cognitive Framework for Mobile GUI Multi-Agents

Hongze Mi, Yibo Feng, Wenjie Lu +12

Graphical User Interface (GUI) agents aim to automate a wide spectrum of human tasks by emulating user interaction. Despite rapid advancements, current approaches are hindered by s…

cs.MM2025

Advancing Grounded Multimodal Named Entity Recognition via LLM-Based Reformulation and Box-Based Segmentation

Jinyuan Li, Ziyan Li, Han Li +4

Grounded Multimodal Named Entity Recognition (GMNER) task aims to identify named entities, entity types and their corresponding visual regions. GMNER task exhibits two challenging…

cs.CV2025

PP-FormulaNet: Bridging Accuracy and Efficiency in Advanced Formula Recognition

Hongen Liu, Cheng Cui, Yuning Du +2

Formula recognition is an important task in document intelligence. It involves converting mathematical expressions from document images into structured symbolic formats that comput…

cs.CV2025

VP-MEL: Visual Prompts Guided Multimodal Entity Linking

Hongze Mi, Jinyuan Li, Xuying Zhang +4

Multimodal entity linking (MEL), a task aimed at linking mentions within multimodal contexts to their corresponding entities in a knowledge base (KB), has attracted much attention…

cs.CV2024

LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition

Jinyuan Li, Han Li, Di Sun +4

Grounded Multimodal Named Entity Recognition (GMNER) is a nascent multimodal task that aims to identify named entities, entity types and their corresponding visual regions. GMNER t…