Information Retrieval
Papers filed under cs.IR on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.
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61 to 120 of 1,626
Neural Models for Information Retrieval
Bhaskar Mitra, Nick Craswell
cs.IRarXiv:1705.01509v12017Mining Meaning from Wikipedia
Olena Medelyan, David Milne, Catherine Legg +1
cs.AIcs.CLcs.IRarXiv:0809.4530v22008Med7: a transferable clinical natural language processing model for electronic health records
Andrey Kormilitzin, Nemanja Vaci, Qiang Liu +1
cs.CLcs.IRcs.LGarXiv:2003.01271v22020ModernVBERT: Towards Smaller Visual Document Retrievers
Paul Teiletche, Quentin Macé, Max Conti +4
cs.IRarXiv:2510.01149v32025BERT-based Ranking for Biomedical Entity Normalization
Zongcheng Ji, Qiang Wei, Hua Xu
cs.IRcs.CLcs.LGarXiv:1908.03548v12019What Generative Search Engines Like and How to Optimize Web Content Cooperatively
Yujiang Wu, Shanshan Zhong, Yubin Kim +1
cs.IRarXiv:2510.11438v12025Discrete Latent Factor Model for Cross-Modal Hashing
Qing-Yuan Jiang, Wu-Jun Li
cs.IRarXiv:1707.08322v12017Tongyi DeepResearch Technical Report
Tongyi DeepResearch Team, Baixuan Li, Bo Zhang +54
cs.CLcs.AIcs.IRarXiv:2510.24701v32025MetaEmbed: Scaling Multimodal Retrieval at Test-Time with Flexible Late Interaction
Zilin Xiao, Qi Ma, Mengting Gu +4
cs.IRcs.CLcs.CVarXiv:2509.18095v22025Agentic Entropy-Balanced Policy Optimization
Guanting Dong, Licheng Bao, Zhongyuan Wang +11
cs.LGcs.AIcs.CLarXiv:2510.14545v12025Generative Recommendation: Towards Next-generation Recommender Paradigm
Wenjie Wang, Xinyu Lin, Fuli Feng +2
cs.IRarXiv:2304.03516v22023OnePiece: Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System
Sunhao Dai, Jiakai Tang, Jiahua Wu +13
cs.IRcs.AIcs.CLarXiv:2509.18091v12025Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
Jinghe Zhang, Kamran Kowsari, James H. Harrison +2
q-bio.QMcs.AIcs.IRarXiv:1810.04793v32018DeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search
Kartik Narayan, Yang Xu, Tian Cao +7
cs.CVcs.IRarXiv:2510.12801v12025jina-reranker-v3: Last but Not Late Interaction for Listwise Document Reranking
Feng Wang, Yuqing Li, Han Xiao
cs.CLcs.AIcs.IRarXiv:2509.25085v42025Multi-Graph Convolution Collaborative Filtering
Jianing Sun, Yingxue Zhang, Chen Ma +4
cs.IRarXiv:2001.00267v12020General Agentic Memory Via Deep Research
B. Y. Yan, Chaofan Li, Hongjin Qian +2
cs.CLcs.AIcs.IRarXiv:2511.18423v12025Project Qualia: Recovering Experiential Music Structure from Session Co-occurrence Data
Nizam Mohammed, Abu B. S. Rahman, Dimuthu D. K. Arachchige
cs.SDcs.IRcs.LGarXiv:2609.10862v12026When Synthetic Data Hurts: On Catastrophic Forgetting in Skill Retrieval for LLM Agents
Syed Shariyar Murtaza, Yifan Nie, Utkarsh Soni +2
cs.IRcs.AIcs.LGarXiv:2609.10750v12026WorldMM: Dynamic Multimodal Memory Agent for Long Video Reasoning
Woongyeong Yeo, Kangsan Kim, Jaehong Yoon +1
cs.CVcs.AIcs.CLarXiv:2512.02425v22025Learning Latent Vector Spaces for Product Search
Christophe Van Gysel, Maarten de Rijke, Evangelos Kanoulas
cs.IRcs.AIcs.CLarXiv:1608.07253v12016Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection
Shumin Deng, Ningyu Zhang, Jiaojian Kang +3
cs.CLcs.AIcs.IRarXiv:1910.11621v22019Fast ALS-based tensor factorization for context-aware recommendation from implicit feedback
Balázs Hidasi, Domonkos Tikk
cs.LGcs.IRmath.NAarXiv:1204.1259v22012Improving Tag-Clouds as Visual Information Retrieval Interfaces
Yusef Hassan-Montero, Victor Herrero-Solana
cs.IRarXiv:2401.04947v12024APEX-MEM: Agentic Semi-Structured Memory with Temporal Reasoning for Long-Term Conversational AI
Pratyay Banerjee, Masud Moshtaghi, Shivashankar Subramanian +2
cs.CLcs.AIcs.IRarXiv:2604.14362v12026LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization
Honglei Zhang, Fangyuan Luo, Jun Wu +2
cs.IRcs.CRarXiv:2206.11743v22022Food Recommendation: Framework, Existing Solutions and Challenges
Weiqing Min, Shuqiang Jiang, Ramesh Jain
cs.CYcs.IRcs.MMarXiv:1905.06269v22019Topic Modeling with Wasserstein Autoencoders
Feng Nan, Ran Ding, Ramesh Nallapati +1
cs.IRcs.AIcs.LGarXiv:1907.12374v22019VikingRAG: Accurate and Token-efficient Retrieval-augmented Generation over Structured Documents
Peiyuan Gao, Gaoyuan Zhang, Haojie Qin +5
cs.IRcs.AIcs.CLarXiv:2609.11390v12026REVA: Reusable Evidence View Aggregation for Context-Efficient RAG Serving
Tuan Nguyen, Qiran Hu, Banruo Liu +3
cs.LGcs.CLcs.IRarXiv:2609.11209v12026ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models
Qijiong Liu, Nuo Chen, Tetsuya Sakai +1
cs.IRcs.CLarXiv:2305.06566v42023Critically Examining the "Neural Hype": Weak Baselines and the Additivity of Effectiveness Gains from Neural Ranking Models
Wei Yang, Kuang Lu, Peilin Yang +1
cs.IRarXiv:1904.09171v22019Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation
Alireza Salemi, Surya Kallumadi, Hamed Zamani
cs.CLcs.IRarXiv:2404.05970v12024Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users
Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang +5
cs.IRcs.AIarXiv:2105.04785v12021RAG-Safety-Bench: Reliable Evaluation of Retrieval-Augmented LLM Safety
Adithiyan Rajan Indira Saravanan, Kathleen C. Fraser
cs.CLcs.IRarXiv:2609.11758v12026SWRouter: Similarity-Contractive Window Routing for Multi-Turn Large Language Model Conversations
Yu Wang, Yuchen Li, Rui Kong +11
cs.CLcs.AIcs.IRarXiv:2609.11414v12026XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning
Yue Zhao, Maciej K. Hryniewicki
cs.LGcs.DBcs.IRarXiv:1912.00290v12019ReGround: Grounding Reviewer Comments in Multimodal Evidence
Serwar Basch, Lizhen Qu, Iryna Gurevych
cs.CLcs.IRarXiv:2609.11460v12026Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System
Sein Kim, Hongseok Kang, Seungyoon Choi +3
cs.IRcs.AIarXiv:2404.11343v22024Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection
Jian Ni, Georgiana Dinu, Radu Florian
cs.CLcs.IRarXiv:1707.02483v12017Generative Late-Interaction Embeddings For Visual Document Retrieval
Mohamed Eltahir, Talal Aloushan, Rose Khairoalsendi +5
cs.IRarXiv:2609.11808v12026MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask
Zhiqiang Wang, Qingyun She, Junlin Zhang
cs.IRarXiv:2102.07619v22021Tensor Methods and Recommender Systems
Evgeny Frolov, Ivan Oseledets
cs.LGcs.IRstat.MLarXiv:1603.06038v22016Understanding Optical Music Recognition
Jorge Calvo-Zaragoza, Jan Hajič, Alexander Pacha
cs.CVcs.AIcs.IRarXiv:1908.03608v32019Semantic Product Search
Priyanka Nigam, Yiwei Song, Vijai Mohan +7
cs.IRcs.CLarXiv:1907.00937v12019Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction
Kan Ren, Jiarui Qin, Yuchen Fang +8
cs.IRarXiv:1905.00758v22019VINS: Visual Search for Mobile User Interface Design
Sara Bunian, Kai Li, Chaima Jemmali +3
cs.HCcs.CVcs.DBarXiv:2102.05216v12021Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens
Jiacheng Liu, Sewon Min, Luke Zettlemoyer +2
cs.CLcs.AIcs.IRarXiv:2401.17377v42024REL: An Entity Linker Standing on the Shoulders of Giants
Johannes M. van Hulst, Faegheh Hasibi, Koen Dercksen +2
cs.IRcs.CLarXiv:2006.01969v12020Recommendation Unlearning
Chong Chen, Fei Sun, Min Zhang +1
cs.IRcs.LGarXiv:2201.06820v22022Complicated Table Structure Recognition
Zewen Chi, Heyan Huang, Heng-Da Xu +3
cs.IRcs.LGarXiv:1908.04729v22019Graph Summarization Methods and Applications: A Survey
Yike Liu, Tara Safavi, Abhilash Dighe +1
cs.IRcs.AIcs.DBarXiv:1612.04883v32016Movie Recommendation System using Sentiment Analysis from Microblogging Data
Sudhanshu Kumar, Shirsendu Sukanta Halder, Kanjar De +1
cs.IRcs.SIarXiv:1811.10804v12018Memento: Time Travel for the Web
Herbert Van de Sompel, Michael L. Nelson, Robert Sanderson +3
cs.IRcs.DLarXiv:0911.1112v22009BARS: Towards Open Benchmarking for Recommender Systems
Jieming Zhu, Quanyu Dai, Liangcai Su +5
cs.IRarXiv:2205.09626v52022Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels
Honglei Zhuang, Zhen Qin, Kai Hui +4
cs.IRarXiv:2310.14122v32023Artificial intelligence to automate the systematic review of scientific literature
José de la Torre-López, Aurora Ramírez, José Raúl Romero
cs.IRcs.AIarXiv:2401.10917v12024Automated Self-Supervised Learning for Recommendation
Lianghao Xia, Chao Huang, Chunzhen Huang +3
cs.IRarXiv:2303.07797v22023When Does Low-Bit Quantization Preserve the Decisions of Vector Search?
Wenxuan Xiao, Xu Cao
cs.DBcs.IRcs.LGarXiv:2609.09854v12026Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network
Peiyan Zhang, Jiayan Guo, Chaozhuo Li +6
cs.IRarXiv:2206.12781v42022