OpenIIR运行数百个由LLM驱动的人物作为参数化、可重复的信息检索研究实验。研究人员在多种先验假设、轮次和约束下配置代理，研究四种多代理场景（ deliberative panels, social platforms, curated recommender feeds, and evolutionary co-evolution between content producers and credibility detectors）。人物预算、检索策略、排序器选择、干预时间、突变率等参数在实验前声明，同一研究可在不同设置下重新运行以比较结果。每次运行生成结构化输出（论证图、曝光日志、适应轨迹、转录文本），下游评估者可直接消费。新研究是共享核心（代理运行时、世界模型存储、检索原语、声明提取器、人物本体）上的200-400行插件。贡献包括：（i）共享核心；（ii）可插拔场景的类型接口；（iii）四种发布的类型及其参考运行（Panel, Social-Media, Curated-Feed, Multi-Generational）；（iv）六个模块化扩展针对开放信息检索研究问题。
英文摘要：
OpenIIR runs hundreds of LLM-driven personas as parameterised, reproducible IR research experiments. Researchers configure agents across four kinds of multi-agent study (deliberative panels, social platforms, curated recommender feeds, and evolutionary co-evolution between content producers and credibility detectors) under many priors, rounds, and constraints. Persona budgets, retrieval policies, ranker choices, intervention timings, and mutation rates are declared up front, and the same study can be re-run under different settings to compare outcomes side by side. Every run produces structured outputs (argument graphs, exposure logs, fitness traces, transcripts) that a downstream evaluator can consume directly, and a new study is a 200--400 line plug-in over a shared core (agent runtime, world-model store, retrieval primitives, claim extractor, persona ontology). The contributions are: (i) the shared core; (ii) a type interface for pluggable scenarios; (iii) four released types with reference runs (Panel, Social-Media, Curated-Feed, Multi-Generational); and (iv) six modular extensions sketched against open IR research questions.
SnapMode: An Intelligent and Distributed Large-Scale Fashion Image Retrieval Platform Based On Big Data and Deep Generative Adversarial Network Technologies
Errors in AI-Assisted Retrieval of Medical Literature: A Comparative Study
College of Arts and Science, New York University（纽约大学艺术与科学学院）；Department of Computer Sciences, School of Arts & Sciences, Rutgers University（罗格斯大学计算机科学系）；Department of Chemical Biology, Ernest Mario School of Pharmacy, Rutgers University（罗格斯大学药学学院化学生物学系）；Department of Pathology, Princeton Medical Center（普林斯顿医疗中心病理学系）；Rutgers Cancer Institute（罗格斯癌症研究所）
Establishing a Foundation for Tetun Ad-Hoc Text Retrieval: Stemming, Indexing, Retrieval, and Ranking
Institute for Systems and Computer Engineering, Tech. and Science (INESC TEC)（系统与计算机工程研究所（科技与科学））；Faculty of Engineering, University of Porto (FEUP)（波尔图大学工程学院）
Are All Genders Equal in the Eyes of Algorithms? -- Analysing Search and Retrieval Algorithms for Algorithmic Gender Fairness
Faculty for Computer Science and Mathematics, Hochschule München University of Applied Sciences（计算机科学与数学系，慕尼黑应用科学大学）；Department of Statistics, LMU Munich（统计学系，慕尼黑大学）；Munich Center for Machine Learning (MCML), LMU Munich（慕尼黑机器学习中心（MCML），慕尼黑大学）
Enhancing Retrieval-Augmented Generation with Entity Linking for Educational Platforms
Department of Mathematics and Computer Science, University of Catania, Italy（卡塔尼亚大学数学与计算机科学系）；Institute of Cognitive Sciences and Technologies (ISTC), National Research Council of Italy (CNR)（意大利国家研究委员会认知科学与技术研究所（ISTC））
Errors of LLM-Assisted Literature Retrieval in Environmental Science: A Comparison Study of Abstract versus Full-text Based Prompts
Rutgers University（罗格斯大学）；Ernest Mario School of Pharmacy（欧内斯特·马里奥药学院）；East Brunswick High School（东布伦瑞克高中）；Princeton Medical Center（普林斯顿医疗中心）；New Jersey Medical School（新泽西医学院）；Rutgers Cancer Institute（罗格斯癌症研究所）
Institute for People-Centred AI, University of Surrey（萨里大学以人为本人工智能研究所）；Centre for Translation Studies, University of Surrey（萨里大学翻译研究中心）；eBay Inc.（eBay公司）
Fair ranking: a critical review, challenges, and future directions
IIT Kharagpur（印度理工学院卡哈拉格普尔分校）；L3S Research Center（L3S研究中心）；Universitat Pompeu Fabra（庞培法布拉大学）；Competition and Markets Authority（竞争与市场管理局）；Accenture Plc（埃森哲公司）；Zalando Research（Zalando研究）；Max Planck Institute for Software Systems（马克斯·普朗克软件系统研究所）；Cornell Tech（康奈尔科技学院）
CLIRudit: Cross-Lingual Information Retrieval of Scientific Documents
CONICET-Universidad de Buenos Aires. Instituto de Ciencias de la Computación (ICC). Buenos Aires, Argentina（CONICET-阿根廷布宜诺斯艾利斯大学。信息计算研究所（ICC）。布宜诺斯艾利斯，阿根廷）；École de bibliothéconomie et des sciences de l’information. Université de Montréal. Montréal, Canada（信息与图书馆科学学院。蒙特利尔大学。蒙特利尔，加拿大）
Medical Information Retrieval and Interpretation: A Question-Answer based Interaction Model
Subir Chowdhury School of Quality and Reliability, IIT Kharagpur（印度理工学院卡拉格普尔分校苏比尔·乔杜里质量与可靠性学院）；Department of Chemical Engineering, IIT Kharagpur（印度理工学院卡拉格普尔分校化学工程系）；Department of Computer Science and Engineering, IIT Kharagpur（印度理工学院卡拉格普尔分校计算机科学与工程系）
