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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2,581 to 2,640 of 2,734
ASIRF: An Agentic Framework for Context-Dependent Sensitive Information Redaction
Sudha Priyadarshini, Mohamed Chahine Ghanem
cs.AIcs.IRcs.LGarXiv:2609.29191v12026Where is your place, Visual Place Recognition?
Sourav Garg, Tobias Fischer, Michael Milford
cs.ROcs.AIcs.CVarXiv:2103.06443v22021Literature-Grounded Novelty Assessment of Scientific Ideas
Simra Shahid, Marissa Radensky, Raymond Fok +3
cs.IRcs.AIarXiv:2506.22026v12025EidosDoc: Implicit Structure Encoding for Cost-Effective Semi-Structured Document QA
Teng Lin, Yuyu Luo, Nan Tang
cs.IRcs.AIarXiv:2609.27784v12026Graph-Based Retriever Captures the Long Tail of Biomedical Knowledge
Julien Delile, Srayanta Mukherjee, Anton Van Pamel +1
cs.CLcs.IRarXiv:2402.12352v12024Real-Time Classification of Twitter Trends
Arkaitz Zubiaga, Damiano Spina, Raquel Martínez +1
cs.IRcs.CLcs.SIarXiv:1403.1451v12014SemEval-2015 Task 3: Answer Selection in Community Question Answering
Preslav Nakov, Lluís Màrquez, Walid Magdy +3
cs.CLcs.AIcs.IRarXiv:1911.11403v12019HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems
Lucas Vinh Tran, Yi Tay, Shuai Zhang +2
cs.IRcs.LGstat.MLarXiv:1809.01703v32018The Utility of LLMs in Recommender Systems Explanation Evaluation
Kathrin Wardatzky, Oana Inel, Luca Rossetto +1
cs.IRcs.AIarXiv:2609.01627v12026TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation
Keqin Bao, Jizhi Zhang, Yang Zhang +3
cs.IRarXiv:2305.00447v32023HIRA: A Human-in-the-Loop Retrieval-Augmented Cascade for Document Classification in Regulated Industries
Shangxuan Tian, Yanhui Chen, Carlos Queiroz
cs.AIcs.CVcs.IRarXiv:2608.21792v12026Adaptive Doubly Robust Off-Policy Evaluation for Ranking Policies under Diverse User Behavior
Kosuke Iguchi, Ren Kishimoto
cs.LGcs.IRarXiv:2608.29600v12026PRIME: Mitigating Subgroup Optimization Competition in Shared CTR Top Networks with Plug-in Residual Input-Conditioned Mixture of Expert
Heng Yao, Siyun Hou, Tianying Liu +8
cs.LGcs.IRarXiv:2608.30449v12026The "Curse of Knowledge" in LLM Query Simulation: Concept Provenance for Tracing Answer-Side Intrusion
Chenglong Ma, Xinye Wanyan, Danula Hettiachchi +2
cs.IRcs.CLarXiv:2608.25245v12026Differentiable Semantic ID for Generative Recommendation
Junchen Fu, Xuri Ge, Alexandros Karatzoglou +4
cs.IRarXiv:2601.19711v32026VeriCite: Towards Reliable Citations in Retrieval-Augmented Generation via Rigorous Verification
Haosheng Qian, Yixing Fan, Jiafeng Guo +4
cs.IRarXiv:2510.11394v12025Improving Tag-Clouds as Visual Information Retrieval Interfaces
Yusef Hassan-Montero, Victor Herrero-Solana
cs.IRarXiv:2401.04947v12024Metric Learning for Adversarial Robustness
Chengzhi Mao, Ziyuan Zhong, Junfeng Yang +2
cs.LGcs.CRcs.CVarXiv:1909.00900v22019Data Mining : A prediction of performer or underperformer using classification
Umesh Kumar Pandey, Saurabh Pal
cs.DBcs.IRarXiv:1104.4163v12011Retrieval meets Long Context Large Language Models
Peng Xu, Wei Ping, Xianchao Wu +7
cs.CLcs.AIcs.IRarXiv:2310.03025v22023PaperMind: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs
Yanjun Zhao, Tianxin Wei, Jiaru Zou +7
cs.IRarXiv:2604.21304v22026Query Expansion by Prompting Large Language Models
Rolf Jagerman, Honglei Zhuang, Zhen Qin +2
cs.IRarXiv:2305.03653v12023A Super Fast K-means for Indexing Vector Embeddings
Leonardo Kuffo, Sven Hepkema, Peter Boncz
cs.LGcs.DBcs.IRarXiv:2603.20009v12026Neural Re-ranking in Multi-stage Recommender Systems: A Review
Weiwen Liu, Yunjia Xi, Jiarui Qin +5
cs.IRarXiv:2202.06602v22022OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations
Linke Ouyang, Yuan Qu, Hongbin Zhou +17
cs.CVcs.AIcs.IRarXiv:2412.07626v22024Beyond NDCG: behavioral testing of recommender systems with RecList
Patrick John Chia, Jacopo Tagliabue, Federico Bianchi +2
cs.IRcs.AIcs.LGarXiv:2111.09963v22021ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation
Yupeng Hou, Jianmo Ni, Zhankui He +5
cs.IRcs.LGarXiv:2502.13581v32025Learn Before Represent: Bridging Generative and Contrastive Learning for Domain-Specific LLM Embeddings
Xiaoyu Liang, Yuchen Peng, Jiale Luo +3
cs.IRcs.AIarXiv:2601.11124v12026Who Are We Recommending To? Recommender Systems in the Agentic Web
Himan Abdollahpouri, Kyle Kretschman, Sai Ravindranath +2
cs.IRarXiv:2609.11945v12026Position: Recommender Systems Should Move Beyond Platform-Centric Ranking toward Personal Agent-Mediated Recommendation
Haohan Yuan, Peng He, Dan Zhang +2
cs.IRarXiv:2609.11942v12026InitGen: Candidate Generation for Interaction Initiation in Intelligent Assistants
Ruize Shi, Jinhua Chen, Hong Huang +5
cs.IRarXiv:2609.11953v12026Beyond Quacking: Deep Integration of Language Models and RAG into DuckDB
Anas Dorbani, Sunny Yasser, Jimmy Lin +1
cs.DBcs.AIcs.IRarXiv:2504.01157v12025Twitter Sentiment Analysis: Lexicon Method, Machine Learning Method and Their Combination
Olga Kolchyna, Tharsis T. P. Souza, Philip Treleaven +1
cs.CLcs.IRcs.LGarXiv:1507.00955v32015Video In Sentences Out
Andrei Barbu, Alexander Bridge, Zachary Burchill +15
cs.CVcs.CLcs.IRarXiv:1408.6418v12014Med7: a transferable clinical natural language processing model for electronic health records
Andrey Kormilitzin, Nemanja Vaci, Qiang Liu +1
cs.CLcs.IRcs.LGarXiv:2003.01271v22020General 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:2609.10862v12026Understanding Optical Music Recognition
Jorge Calvo-Zaragoza, Jan Hajič, Alexander Pacha
cs.CVcs.AIcs.IRarXiv:1908.03608v32019Memento: Time Travel for the Web
Herbert Van de Sompel, Michael L. Nelson, Robert Sanderson +3
cs.IRcs.DLarXiv:0911.1112v22009Rethink Training of BERT Rerankers in Multi-Stage Retrieval Pipeline
Luyu Gao, Zhuyun Dai, Jamie Callan
cs.IRarXiv:2101.08751v12021Masking Stale Observations Helps Search Agents -- Until It Doesn't: A Regime Map and Its Mechanism
Haoxiang Zhang, Qixin Xu, Zhuofeng Li +4
cs.CLcs.AIcs.IRarXiv:2606.00408v12026Summaries:한국어From Retrieval to Weights: Parametric Individualization of Small Language Models with Individual Text Corpora
Christoph Wigbels, Ali Abusaleh, Markus T. Jansen +2
cs.CLcs.IRarXiv:2609.10155v12026Algorithmic Extremism: Examining YouTube's Rabbit Hole of Radicalization
Mark Ledwich, Anna Zaitsev
cs.SIcs.IRarXiv:1912.11211v12019A multi-level collaborative filtering method that improves recommendations
Nikolaos Polatidis, Christos K. Georgiadis
cs.IRarXiv:1804.08891v12018GHRS: Graph-based Hybrid Recommendation System with Application to Movie Recommendation
Zahra Zamanzadeh Darban, Mohammad Hadi Valipour
cs.IRcs.AIcs.LGarXiv:2111.11293v22021The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study
Dominik Kowald, Markus Schedl, Elisabeth Lex
cs.IRcs.LGcs.SIarXiv:1912.04696v22019AnonymousNet: Natural Face De-Identification with Measurable Privacy
Tao Li, Lei Lin
cs.CVcs.CRcs.IRarXiv:1904.12620v12019Evidence-Aligned Entity Verification for Hallucination Detection in Retrieval-Augmented Generation
Runsong Jia, Zhen Fang, Mengjia Wu +2
cs.AIcs.IRarXiv:2609.08267v12026Ranking via Sinkhorn Propagation
Ryan Prescott Adams, Richard S. Zemel
stat.MLcs.IRcs.LGarXiv:1106.1925v22011Customer Relationship Intelligence: Integrating CRM and MDM for Enhanced Customer Engagement
Tejasvi c. Addagada
cs.AIcs.IRarXiv:2609.06189v12026DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
Zhi-Hong Deng, Ling Huang, Chang-Dong Wang +2
cs.LGcs.IRstat.MLarXiv:1901.04704v12019Visual Analysis of LLM-based Entity Resolution from Scientific Papers
Siyu Wu, Yi Yang, Weize Wu +6
cs.IRarXiv:2609.06037v12026Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks
Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang +5
cs.IRarXiv:2105.04790v12021AtomRec: Evolving Atomic Memory for Agentic Recommendation
Peiyu Hu, Weihai Lu, Siying Gu +5
cs.IRarXiv:2609.04882v12026Personalized Task Dependency Graphs for Mitigating Signal Erosion in Multi-Task Recommendation
Fuyuan Liu, Tiandeng Wu, Yaqun Fang +8
cs.IRarXiv:2609.04862v12026Select-Additive Learning: Improving Generalization in Multimodal Sentiment Analysis
Haohan Wang, Aaksha Meghawat, Louis-Philippe Morency +1
cs.CLcs.IRarXiv:1609.05244v22016HVD: Human Vision-Driven Video Representation Learning for Text-Video Retrieval
Zequn Xie, Xin Liu, Boyun Zhang +3
cs.CVcs.IRarXiv:2601.16155v12026Repeated Queries Exhaust an LLM's Brand Recommendations but Not Its Sources
Dmitrij Żatuchin
cs.IRcs.CLarXiv:2609.05059v12026Declarative Experimentation in Information Retrieval using PyTerrier
Craig Macdonald, Nicola Tonellotto
cs.IRarXiv:2007.14271v12020Does Your Agent's Memory Survive a Model Upgrade? A Controlled Study of Memory Portability
Ankit Goyal, Jaideep Ray
cs.AIcs.CLcs.IRarXiv:2609.05339v12026