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Tag: cs.IR

#cs.IR

Academic · 1 min

Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training

arXiv:2602.22576v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by incorporating external knowledge, yet traditional single-round retrieval struggles with complex multi-step …

Tianle Xia, Ming Xu, Lingxiang Hu, Yiding Sun, Wenwei Li, Linfang Shang, Liqun Liu, Peng Shu, Huan Yu, Jie Jiang
3 views
Academic · 1 min

Enriching Taxonomies Using Large Language Models

arXiv:2602.22213v1 Announce Type: cross Abstract: Taxonomies play a vital role in structuring and categorizing information across domains. However, many existing taxonomies suffer from limited coverage …

Zeinab Ghamlouch, Mehwish Alam
4 views
Academic · 1 min

RMIT-ADM+S at the MMU-RAG NeurIPS 2025 Competition

arXiv:2602.20735v1 Announce Type: cross Abstract: This paper presents the award-winning RMIT-ADM+S system for the Text-to-Text track of the NeurIPS~2025 MMU-RAG Competition. We introduce Routing-to-RAG (R2RAG), …

Kun Ran, Marwah Alaofi, Danula Hettiachchi, Chenglong Ma, Khoi Nguyen Dinh Anh, Khoi Vo Nguyen, Sachin Pathiyan Cherumanal, Lida Rashidi, Falk Scholer, Damiano Spina, Shuoqi Sun, Oleg Zendel
9 views
Academic · 1 min

Generative Pseudo-Labeling for Pre-Ranking with LLMs

arXiv:2602.20995v1 Announce Type: cross Abstract: Pre-ranking is a critical stage in industrial recommendation systems, tasked with efficiently scoring thousands of recalled items for downstream ranking. …

Junyu Bi, Xinting Niu, Daixuan Cheng, Kun Yuan, Tao Wang, Binbin Cao, Jian Wu, Yuning Jiang
6 views