activity
20232025
most citedPrompting ChatGPT in MNER: Enhanced Multimodal Named Entity Recognition with Auxiliary Refined Knowledge

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2025

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.CV2024

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.MM2024★ 1 cited

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.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…

cs.CL2023★ 2 cited

Prompting ChatGPT in MNER: Enhanced Multimodal Named Entity Recognition with Auxiliary Refined Knowledge

Jinyuan Li, Han Li, Zhuo Pan +4

Multimodal Named Entity Recognition (MNER) on social media aims to enhance textual entity prediction by incorporating image-based clues. Existing studies mainly focus on maximizing…