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Information Retrieval

19 items on 12 Oct 2026
Information Retrieval AI AI Research

UxSID: Semantic-Aware User Interests Modeling for Ultra-Long Sequence

arXiv:2605.09040v4 Announce Type: replace-cross Abstract: Modeling ultra-long user sequences involves a difficult trade-off between efficiency and effectiveness. While current paradigms rely on either item-specific…

Source: arXiv cs.IR Hongwei Zhang, Qiqiang Zhong, Junfeng Shu, Jiangxia Cao, Yiyang Lv, Huanjie Wang, Liwei Guan, Jing Yao, Yiyu Wang, Zhaojie Liu, Han Li
Information Retrieval AI AI Research

SPARQL-LLM in the TEXT2SPARQL 2026 Challenge

arXiv:2610.13648v1 Announce Type: new Abstract: Querying distributed data represented as Knowledge Graphs (KGs) via SPARQL remains a difficult task, requiring fluency in query syntax, endpoint specifications, and schema…

Source: arXiv cs.IR Panayiotis Smeros, Vincent Emonet, Ruijie Wang, Ana-Claudia Sima, Tarcisio Mendes de Farias
Information Retrieval AI AI Research

Access Paths for Efficient Ordering with Large Language Models

arXiv:2509.00303v5 Announce Type: replace-cross Abstract: In this work, we present the \texttt{LLM ORDER BY} semantic operator as a logical abstraction and conduct a systematic study of its physical implementations.…

Source: arXiv cs.IR Fuheng Zhao, Jiayue Chen, Yiming Pan, Tahseen Rabbani, Sohaib, Divyakant Agrawal, Amr El Abbadi, Paritosh Aggarwal, Anupam Datta, Dimitris Tsirogiannis
Information Retrieval AI AI Research

Can Language Models Play the Wikipedia Game?

arXiv:2610.13948v1 Announce Type: cross Abstract: Language models increasingly support or automate information retrieval from document collections too large to index. This task is difficult when it requires specialist…

Source: arXiv cs.IR Alexander Hickey, Joanna Knight, James Bishop
Information Retrieval AI AI Research

CRM: Retrieval Model with Controllable Condition

arXiv:2412.13844v2 Announce Type: replace Abstract: Retrieval models for recommendation need to account for outcomes such as watch time while searching large item corpora efficiently. We present the Controllable…

Source: arXiv cs.IR Chi Liu, Jiangxia Cao, Rui Huang, Kuo Cai, Weifeng Ding, Qiang Luo, Kun Gai, Guorui Zhou
Information Retrieval AI AI Research

NEAR: Neighborhood-Aware Residuals for Memory Retrieval

arXiv:2610.13314v1 Announce Type: new Abstract: Memory retrieval aims to identify evidence from stored records to answer a query. Stored records with different factual details may share topics, entities, or events. Such…

Source: arXiv cs.IR Han Luo, Zhan Zhuang, Xu He, Jujia Zhao, Yu Li, Suqin Yuan, Dong Li, Lei Feng
Information Retrieval AI AI Research

Web$hell: A Unified Interface for Agentic Web Access

arXiv:2610.13416v1 Announce Type: cross Abstract: Large language model (LLM) agents are becoming direct users of the open web. As they take on increasingly complex and information-intensive tasks, effective web access…

Source: arXiv cs.IR Sunghwan Kim, Deogyong Kim, Sangam Lee, Donguk Kwon, Dongha Lee
Information Retrieval AI AI Research

Claim-Gated Source-Risk Auditing for Generative Search

arXiv:2609.29145v2 Announce Type: replace-cross Abstract: A generative search answer can cite a supported passage yet omit a source relationship that changes its interpretation. We specify a claim-gated audit of the…

Source: arXiv cs.IR Kainan Zhou, Chuhong Xu, Gangzhen Qian, Zhaoyi Li