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.

Search paper metadata (including unsummarized papers)

2,581 to 2,640 of 2,734

  1. ASIRF: An Agentic Framework for Context-Dependent Sensitive Information Redaction

    Sudha Priyadarshini, Mohamed Chahine Ghanem

    cs.AIcs.IRcs.LGarXiv:2609.29191v12026
  2. Where is your place, Visual Place Recognition?

    Sourav Garg, Tobias Fischer, Michael Milford

    cs.ROcs.AIcs.CVarXiv:2103.06443v22021
  3. Literature-Grounded Novelty Assessment of Scientific Ideas

    Simra Shahid, Marissa Radensky, Raymond Fok +3

    cs.IRcs.AIarXiv:2506.22026v12025
  4. EidosDoc: Implicit Structure Encoding for Cost-Effective Semi-Structured Document QA

    Teng Lin, Yuyu Luo, Nan Tang

    cs.IRcs.AIarXiv:2609.27784v12026
  5. Graph-Based Retriever Captures the Long Tail of Biomedical Knowledge

    Julien Delile, Srayanta Mukherjee, Anton Van Pamel +1

    cs.CLcs.IRarXiv:2402.12352v12024
  6. Real-Time Classification of Twitter Trends

    Arkaitz Zubiaga, Damiano Spina, Raquel Martínez +1

    cs.IRcs.CLcs.SIarXiv:1403.1451v12014
  7. SemEval-2015 Task 3: Answer Selection in Community Question Answering

    Preslav Nakov, Lluís Màrquez, Walid Magdy +3

    cs.CLcs.AIcs.IRarXiv:1911.11403v12019
  8. HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems

    Lucas Vinh Tran, Yi Tay, Shuai Zhang +2

    cs.IRcs.LGstat.MLarXiv:1809.01703v32018
  9. The Utility of LLMs in Recommender Systems Explanation Evaluation

    Kathrin Wardatzky, Oana Inel, Luca Rossetto +1

    cs.IRcs.AIarXiv:2609.01627v12026
  10. TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

    Keqin Bao, Jizhi Zhang, Yang Zhang +3

    cs.IRarXiv:2305.00447v32023
  11. HIRA: A Human-in-the-Loop Retrieval-Augmented Cascade for Document Classification in Regulated Industries

    Shangxuan Tian, Yanhui Chen, Carlos Queiroz

    cs.AIcs.CVcs.IRarXiv:2608.21792v12026
  12. Adaptive Doubly Robust Off-Policy Evaluation for Ranking Policies under Diverse User Behavior

    Kosuke Iguchi, Ren Kishimoto

    cs.LGcs.IRarXiv:2608.29600v12026
  13. PRIME: 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:2608.30449v12026
  14. The "Curse of Knowledge" in LLM Query Simulation: Concept Provenance for Tracing Answer-Side Intrusion

    Chenglong Ma, Xinye Wanyan, Danula Hettiachchi +2

    cs.IRcs.CLarXiv:2608.25245v12026
  15. Differentiable Semantic ID for Generative Recommendation

    Junchen Fu, Xuri Ge, Alexandros Karatzoglou +4

    cs.IRarXiv:2601.19711v32026
  16. VeriCite: Towards Reliable Citations in Retrieval-Augmented Generation via Rigorous Verification

    Haosheng Qian, Yixing Fan, Jiafeng Guo +4

    cs.IRarXiv:2510.11394v12025
  17. Improving Tag-Clouds as Visual Information Retrieval Interfaces

    Yusef Hassan-Montero, Victor Herrero-Solana

    cs.IRarXiv:2401.04947v12024
  18. Metric Learning for Adversarial Robustness

    Chengzhi Mao, Ziyuan Zhong, Junfeng Yang +2

    cs.LGcs.CRcs.CVarXiv:1909.00900v22019
  19. Data Mining : A prediction of performer or underperformer using classification

    Umesh Kumar Pandey, Saurabh Pal

    cs.DBcs.IRarXiv:1104.4163v12011
  20. Retrieval meets Long Context Large Language Models

    Peng Xu, Wei Ping, Xianchao Wu +7

    cs.CLcs.AIcs.IRarXiv:2310.03025v22023
  21. PaperMind: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs

    Yanjun Zhao, Tianxin Wei, Jiaru Zou +7

    cs.IRarXiv:2604.21304v22026
  22. Query Expansion by Prompting Large Language Models

    Rolf Jagerman, Honglei Zhuang, Zhen Qin +2

    cs.IRarXiv:2305.03653v12023
  23. A Super Fast K-means for Indexing Vector Embeddings

    Leonardo Kuffo, Sven Hepkema, Peter Boncz

    cs.LGcs.DBcs.IRarXiv:2603.20009v12026
  24. Neural Re-ranking in Multi-stage Recommender Systems: A Review

    Weiwen Liu, Yunjia Xi, Jiarui Qin +5

    cs.IRarXiv:2202.06602v22022
  25. OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations

    Linke Ouyang, Yuan Qu, Hongbin Zhou +17

    cs.CVcs.AIcs.IRarXiv:2412.07626v22024
  26. Beyond NDCG: behavioral testing of recommender systems with RecList

    Patrick John Chia, Jacopo Tagliabue, Federico Bianchi +2

    cs.IRcs.AIcs.LGarXiv:2111.09963v22021
  27. ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation

    Yupeng Hou, Jianmo Ni, Zhankui He +5

    cs.IRcs.LGarXiv:2502.13581v32025
  28. Learn Before Represent: Bridging Generative and Contrastive Learning for Domain-Specific LLM Embeddings

    Xiaoyu Liang, Yuchen Peng, Jiale Luo +3

    cs.IRcs.AIarXiv:2601.11124v12026
  29. Who Are We Recommending To? Recommender Systems in the Agentic Web

    Himan Abdollahpouri, Kyle Kretschman, Sai Ravindranath +2

    cs.IRarXiv:2609.11945v12026
  30. Position: Recommender Systems Should Move Beyond Platform-Centric Ranking toward Personal Agent-Mediated Recommendation

    Haohan Yuan, Peng He, Dan Zhang +2

    cs.IRarXiv:2609.11942v12026
  31. InitGen: Candidate Generation for Interaction Initiation in Intelligent Assistants

    Ruize Shi, Jinhua Chen, Hong Huang +5

    cs.IRarXiv:2609.11953v12026
  32. Beyond Quacking: Deep Integration of Language Models and RAG into DuckDB

    Anas Dorbani, Sunny Yasser, Jimmy Lin +1

    cs.DBcs.AIcs.IRarXiv:2504.01157v12025
  33. Twitter Sentiment Analysis: Lexicon Method, Machine Learning Method and Their Combination

    Olga Kolchyna, Tharsis T. P. Souza, Philip Treleaven +1

    cs.CLcs.IRcs.LGarXiv:1507.00955v32015
  34. Video In Sentences Out

    Andrei Barbu, Alexander Bridge, Zachary Burchill +15

    cs.CVcs.CLcs.IRarXiv:1408.6418v12014
  35. Med7: a transferable clinical natural language processing model for electronic health records

    Andrey Kormilitzin, Nemanja Vaci, Qiang Liu +1

    cs.CLcs.IRcs.LGarXiv:2003.01271v22020
  36. General Agentic Memory Via Deep Research

    B. Y. Yan, Chaofan Li, Hongjin Qian +2

    cs.CLcs.AIcs.IRarXiv:2511.18423v12025
  37. Project Qualia: Recovering Experiential Music Structure from Session Co-occurrence Data

    Nizam Mohammed, Abu B. S. Rahman, Dimuthu D. K. Arachchige

    cs.SDcs.IRcs.LGarXiv:2609.10862v12026
  38. Understanding Optical Music Recognition

    Jorge Calvo-Zaragoza, Jan Hajič, Alexander Pacha

    cs.CVcs.AIcs.IRarXiv:1908.03608v32019
  39. Memento: Time Travel for the Web

    Herbert Van de Sompel, Michael L. Nelson, Robert Sanderson +3

    cs.IRcs.DLarXiv:0911.1112v22009
  40. Rethink Training of BERT Rerankers in Multi-Stage Retrieval Pipeline

    Luyu Gao, Zhuyun Dai, Jamie Callan

    cs.IRarXiv:2101.08751v12021
  41. Masking 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:2606.00408v12026
    Summaries:한국어
  42. From Retrieval to Weights: Parametric Individualization of Small Language Models with Individual Text Corpora

    Christoph Wigbels, Ali Abusaleh, Markus T. Jansen +2

    cs.CLcs.IRarXiv:2609.10155v12026
  43. Algorithmic Extremism: Examining YouTube's Rabbit Hole of Radicalization

    Mark Ledwich, Anna Zaitsev

    cs.SIcs.IRarXiv:1912.11211v12019
  44. A multi-level collaborative filtering method that improves recommendations

    Nikolaos Polatidis, Christos K. Georgiadis

    cs.IRarXiv:1804.08891v12018
  45. GHRS: Graph-based Hybrid Recommendation System with Application to Movie Recommendation

    Zahra Zamanzadeh Darban, Mohammad Hadi Valipour

    cs.IRcs.AIcs.LGarXiv:2111.11293v22021
  46. The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study

    Dominik Kowald, Markus Schedl, Elisabeth Lex

    cs.IRcs.LGcs.SIarXiv:1912.04696v22019
  47. AnonymousNet: Natural Face De-Identification with Measurable Privacy

    Tao Li, Lei Lin

    cs.CVcs.CRcs.IRarXiv:1904.12620v12019
  48. Evidence-Aligned Entity Verification for Hallucination Detection in Retrieval-Augmented Generation

    Runsong Jia, Zhen Fang, Mengjia Wu +2

    cs.AIcs.IRarXiv:2609.08267v12026
  49. Ranking via Sinkhorn Propagation

    Ryan Prescott Adams, Richard S. Zemel

    stat.MLcs.IRcs.LGarXiv:1106.1925v22011
  50. Customer Relationship Intelligence: Integrating CRM and MDM for Enhanced Customer Engagement

    Tejasvi c. Addagada

    cs.AIcs.IRarXiv:2609.06189v12026
  51. DeepCF: 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:1901.04704v12019
  52. Visual Analysis of LLM-based Entity Resolution from Scientific Papers

    Siyu Wu, Yi Yang, Weize Wu +6

    cs.IRarXiv:2609.06037v12026
  53. Learning 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:2105.04790v12021
  54. AtomRec: Evolving Atomic Memory for Agentic Recommendation

    Peiyu Hu, Weihai Lu, Siying Gu +5

    cs.IRarXiv:2609.04882v12026
  55. Personalized Task Dependency Graphs for Mitigating Signal Erosion in Multi-Task Recommendation

    Fuyuan Liu, Tiandeng Wu, Yaqun Fang +8

    cs.IRarXiv:2609.04862v12026
  56. Select-Additive Learning: Improving Generalization in Multimodal Sentiment Analysis

    Haohan Wang, Aaksha Meghawat, Louis-Philippe Morency +1

    cs.CLcs.IRarXiv:1609.05244v22016
  57. HVD: Human Vision-Driven Video Representation Learning for Text-Video Retrieval

    Zequn Xie, Xin Liu, Boyun Zhang +3

    cs.CVcs.IRarXiv:2601.16155v12026
  58. Repeated Queries Exhaust an LLM's Brand Recommendations but Not Its Sources

    Dmitrij Żatuchin

    cs.IRcs.CLarXiv:2609.05059v12026
  59. Declarative Experimentation in Information Retrieval using PyTerrier

    Craig Macdonald, Nicola Tonellotto

    cs.IRarXiv:2007.14271v12020
  60. Does Your Agent's Memory Survive a Model Upgrade? A Controlled Study of Memory Portability

    Ankit Goyal, Jaideep Ray

    cs.AIcs.CLcs.IRarXiv:2609.05339v12026