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cs.IR2025
ReFineG: Synergizing Small Supervised Models and LLMs for Low-Resource Grounded Multimodal NER
Jielong Tang, Shuang Wang, Zhenxing Wang +2
Grounded Multimodal Named Entity Recognition (GMNER) extends traditional NER by jointly detecting textual mentions and grounding them to visual regions. While existing supervised m…
cs.IR2025
Geography-Aware Large Language Models for Next POI Recommendation
Zhao Liu, Wei Liu, Huajie Zhu +4
The next Point-of-Interest (POI) recommendation task aims to predict users' next destinations based on their historical movement data and plays a key role in location-based service…
cs.IR2025
Multi-Grained Query-Guided Set Prediction Network for Grounded Multimodal Named Entity Recognition
Jielong Tang, Zhenxing Wang, Ziyang Gong +3
Grounded Multimodal Named Entity Recognition (GMNER) is an emerging information extraction (IE) task, aiming to simultaneously extract entity spans, types, and corresponding visual…