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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541 to 600 of 1,626

NeuroGraph: An AI Graph-Driven Neuro-Symbolic Framework for Explainable Threat Reasoning in Advanced Manufacturing
Padmeswari Nandiya, Ahmad Mohsin, Ahmed Ibrahim +2
cs.CRcs.IRarXiv:2609.00604v12026
Metric and Kernel Learning using a Linear Transformation
Prateek Jain, Brian Kulis, Jason V. Davis +1
cs.LGcs.CVcs.IRarXiv:0910.5932v12009
Learning Passage Impacts for Inverted Indexes
Antonio Mallia, Omar Khattab, Nicola Tonellotto +1
cs.IRarXiv:2104.12016v12021
PLeDO: Pain Level Detection for Osteoarthritis from EMR Data
Yuhao Chen, Jiahao Cai, Nafiz Sadman +3
cs.AIcs.ETcs.IRarXiv:2608.15719v12026
Not Worth Another Token: Marginal Value Estimation for Efficient Deep Research Agents
Harshitha Kolukuluru, Reshma Ashok, Kirat Arora +7
cs.AIcs.IRcs.MAarXiv:2608.08389v12026
b-Bit Minwise Hashing
Ping Li, Arnd Christian Konig
cs.DScs.DBcs.IRarXiv:0910.3349v12009
MemSyco-Bench: Benchmarking Sycophancy in Agent Memory
Zhishang Xiang, Zerui Chen, Yunbo Tang +5
cs.IRcs.AIarXiv:2607.01071v22026
Summaries:한국어
Automating Database-Native Function Code Synthesis with LLMs
Wei Zhou, Xuanhe Zhou, Qikang He +4
cs.DBcs.AIcs.CLarXiv:2604.06231v12026
MMTEB: Massive Multilingual Text Embedding Benchmark
Kenneth Enevoldsen, Isaac Chung, Imene Kerboua +83
cs.CLcs.AIcs.IRarXiv:2502.13595v42025
Artificial Intelligence for Literature Reviews: Opportunities and Challenges
Francisco Bolanos, Angelo Salatino, Francesco Osborne +1
cs.AIcs.HCcs.IRarXiv:2402.08565v22024
Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences
Scott Sanner, Krisztian Balog, Filip Radlinski +2
cs.IRcs.LGarXiv:2307.14225v12023
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer
Zhiwei Liu, Ziwei Fan, Yu Wang +1
cs.IRcs.AIarXiv:2105.00522v12021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou, Shanghang Zhang, Jieqi Peng +4
cs.LGcs.AIcs.IRarXiv:2012.07436v32020
Scientific Paper Recommendation: A Survey
Xiaomei Bai, Mengyang Wang, Ivan Lee +3
cs.IRarXiv:2008.13538v12020
Simple Applications of BERT for Ad Hoc Document Retrieval
Wei Yang, Haotian Zhang, Jimmy Lin
cs.IRcs.CLarXiv:1903.10972v12019
MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents
Zijian Zhou, Ao Qu, Zhaoxuan Wu +6
cs.CLcs.AIcs.IRarXiv:2506.15841v22025
Personalized Search
Fredrik Nygård Carlsen
cs.IRcs.DLarXiv:1509.02207v12015
Information-Guided Selective Modality-Interest Alignment for Multimodal Recommendation
Wenze Ma, Chenyu Sun, Yanmin Zhu +2
cs.IRarXiv:2608.27950v12026
Q&A or Document-Based? The Effects of Interface Type on How Screen Reader Users Access Interconnected Documents
Colleen F. Cipriano, Yichun Zhao, Miguel A. Nacenta +2
cs.HCcs.AIcs.IRarXiv:2608.25382v12026
RAGSentinel: Certifiable Geometric Consensus for Robust Retrieval-Augmented Generation
Yueyang Quan, Anjun Gao, Yufei Xia +2
cs.CRcs.AIcs.IRarXiv:2608.23965v12026
GOD: Enhancing Generalization via Deep Grafting for Sequential Recommendation
WooJoo Kim, JunYoung Kim, JaeHyung Lim +1
cs.IRcs.LGarXiv:2608.16073v12026
Structured Prediction for Scalable Spreadsheet Table Understanding: From Cell Types to Table Ranges (Extended Version)
Antoine Gauquier, Ioana Manolescu, Pierre Senellart
cs.IRcs.DBcs.LGarXiv:2608.16050v12026
NRCD: An Open Database of Collegiate Running with Unified Performance Standardization
Jonathan A. Karr, Ryan M. Fryer, Ben Darden +5
cs.LGcs.CYcs.IRarXiv:2608.14776v12026
MACS: A Hybrid Multi-Agent Framework for Reliable Conversational E-Commerce Recommendation
Juli Huang, Hannah Clay, Sajjad Beygi +3
cs.IRcs.AIarXiv:2608.14068v12026
Residual Dominance as a Structural Account of Last-Item Reliance in Causal Self-Attention Recommenders
Keito Kozaki, Keigo Sakurai, Ren Togo +2
cs.AIcs.IRarXiv:2608.14021v12026
LegalPincite: Multi-level Legal Information Retrieval Dataset
Theresia Veronika Rampisela, Henrik Palmer Olsen, Giovanni Colavizza
cs.IRarXiv:2608.03756v12026
Agentic Context Management: Solving Agent Memory and Cost by Treating Them as Lifecycle and Architecture Problems
Gaurav Dadhich
cs.AIcs.IRarXiv:2607.21503v12026
OneRank: Unified Transformer-Native Ranking Architecture for Multi-Task Recommendation
Jiakai Tang, Sunhao Dai, Kun Wang +8
cs.IRarXiv:2606.16838v12026
Diversed Model Discovery via Structured Table Discovery
Zhengyuan Dong, Renée J. Miller
cs.IRarXiv:2605.22766v12026
On the Robustness of LLM-Based Dense Retrievers: A Systematic Analysis of Generalizability and Stability
Yongkang Li, Panagiotis Eustratiadis, Yixing Fan +1
cs.IRcs.CLarXiv:2604.16576v12026
Truncated Step-Level Sampling with Process Rewards for Retrieval-Augmented Reasoning
Chris Samarinas, Haw-Shiuan Chang, Hamed Zamani
cs.CLcs.IRarXiv:2602.23440v42026
A Theoretical Analysis of NDCG Type Ranking Measures
Yining Wang, Liwei Wang, Yuanzhi Li +3
cs.LGcs.IRstat.MLarXiv:1304.6480v12013
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
Yue Yu, Wei Ping, Zihan Liu +5
cs.CLcs.AIcs.IRarXiv:2407.02485v12024
Overcoming catastrophic forgetting in neural networks
Brandon Shuen Yi Loke, Filippo Quadri, Gabriel Vivanco +2
cs.LGcs.IRarXiv:2507.10485v12025
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning
Zihan Lin, Changxin Tian, Yupeng Hou +1
cs.IRcs.AIarXiv:2202.06200v22022
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions
Chen Gao, Yu Zheng, Nian Li +8
cs.IRarXiv:2109.12843v32021
STAN: Spatio-Temporal Attention Network for Next Location Recommendation
Yingtao Luo, Qiang Liu, Zhaocheng Liu
cs.IRcs.AIarXiv:2102.04095v12021
DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems
Ruoxi Wang, Rakesh Shivanna, Derek Z. Cheng +4
cs.IRcs.LGstat.MLarXiv:2008.13535v22020
Text Classification Algorithms: A Survey
Kamran Kowsari, Kiana Jafari Meimandi, Mojtaba Heidarysafa +3
cs.LGcs.AIcs.CLarXiv:1904.08067v52019
Embarrassingly Shallow Autoencoders for Sparse Data
Harald Steck
cs.IRcs.LGstat.MLarXiv:1905.03375v12019
Graph Neural Networks for Social Recommendation
Wenqi Fan, Yao Ma, Qing Li +4
cs.IRcs.LGcs.SIarXiv:1902.07243v22019
Hybrid Recommender Systems: A Systematic Literature Review
Erion Çano, Maurizio Morisio
cs.IRcs.CYcs.LGarXiv:1901.03888v12019
Fairness of Exposure in Rankings
Ashudeep Singh, Thorsten Joachims
cs.IRcs.CYarXiv:1802.07281v22018
Weakly-Supervised Neural Text Classification
Yu Meng, Jiaming Shen, Chao Zhang +1
cs.IRcs.CLcs.LGarXiv:1809.01478v22018
A Deep Causal Inference Approach to Measuring the Effects of Forming Group Loans in Online Non-profit Microfinance Platform
Thai T. Pham, Yuanyuan Shen
stat.MLcs.IRcs.LGarXiv:1706.02795v12017
Fast Incremental and Personalized PageRank
Bahman Bahmani, Abdur Chowdhury, Ashish Goel
cs.DScs.DBcs.IRarXiv:1006.2880v22010
Self-Taught Hashing for Fast Similarity Search
Dell Zhang, Jun Wang, Deng Cai +1
cs.IRarXiv:1004.5370v12010
TRIS: A Tri-Layer Retrieval Integrity Sieve Against Knowledge Poisoning
Muhaimin Bin Munir, Akib Jawad Ononto, Nazia Shehnaz Joynab +2
cs.CLcs.CRcs.IRarXiv:2609.00470v12026
World Model-Guided Reinforcement Learning via Counterfactual User Engagement Simulation
Ang Li, Xin Xu, Bin Liang +4
cs.IRarXiv:2609.01067v12026
Think Inside the Chunk: RegulaRAG for Regulation-Compliant Scenario Generation using LLMs: A Case Study of UN Regulation No. 152
Vahid Zolfaghari, Nenad Petrovic, AndrÉ Schamschurko +1
cs.AIcs.IRarXiv:2608.16394v12026
Noesis: Bidirectional Graph-RAG with Adaptive Parallelism and Cross-Knowledge-Base Semantic Discovery
Nicola Cogotti
cs.IRcs.AIarXiv:2608.15919v12026
DistilVDR: A Compact End-to-End Visual Document Retriever via Dual-Student Distillation
Zhuchenyang Liu, Ziyi Wang, Yao Zhang +1
cs.IRcs.CLcs.CVarXiv:2608.10636v12026
R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning
Huatong Song, Jinhao Jiang, Yingqian Min +5
cs.AIcs.CLcs.IRarXiv:2503.05592v22025
Understanding the Behaviors of Environment-aware Information Retrieval
Ruifeng Yuan, Chaohao Yuan, David Dai +4
cs.CLcs.IRarXiv:2606.16817v12026
Hierarchical Abstract Tree for Cross-Document Retrieval-Augmented Generation
Ziwen Zhao, Menglin Yang
cs.LGcs.AIcs.IRarXiv:2605.00529v12026
SuperLocalMemory V3: Information-Geometric Foundations for Zero-LLM Enterprise Agent Memory
Varun Pratap Bhardwaj
cs.AIcs.IRcs.LGarXiv:2603.14588v12026
UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities
Woongyeong Yeo, Kangsan Kim, Soyeong Jeong +2
cs.CLcs.AIcs.CVarXiv:2504.20734v52025
Summaries:한국어
Explainable Recommendation: A Survey and New Perspectives
Yongfeng Zhang, Xu Chen
cs.IRcs.AIcs.MMarXiv:1804.11192v102018
Product-based Neural Networks for User Response Prediction
Yanru Qu, Han Cai, Kan Ren +4
cs.LGcs.IRarXiv:1611.00144v12016
Sentiment Analysis of Twitter Data for Predicting Stock Market Movements
Venkata Sasank Pagolu, Kamal Nayan Reddy Challa, Ganapati Panda +1
cs.IRcs.CLcs.SIarXiv:1610.09225v12016

Information Retrieval

NeuroGraph: An AI Graph-Driven Neuro-Symbolic Framework for Explainable Threat Reasoning in Advanced Manufacturing

Metric and Kernel Learning using a Linear Transformation

Learning Passage Impacts for Inverted Indexes

PLeDO: Pain Level Detection for Osteoarthritis from EMR Data

Not Worth Another Token: Marginal Value Estimation for Efficient Deep Research Agents

b-Bit Minwise Hashing

MemSyco-Bench: Benchmarking Sycophancy in Agent Memory

Automating Database-Native Function Code Synthesis with LLMs

MMTEB: Massive Multilingual Text Embedding Benchmark

Artificial Intelligence for Literature Reviews: Opportunities and Challenges

Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences

Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

Scientific Paper Recommendation: A Survey

Simple Applications of BERT for Ad Hoc Document Retrieval

MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents

Personalized Search

Information-Guided Selective Modality-Interest Alignment for Multimodal Recommendation

Q&A or Document-Based? The Effects of Interface Type on How Screen Reader Users Access Interconnected Documents

RAGSentinel: Certifiable Geometric Consensus for Robust Retrieval-Augmented Generation

GOD: Enhancing Generalization via Deep Grafting for Sequential Recommendation

Structured Prediction for Scalable Spreadsheet Table Understanding: From Cell Types to Table Ranges (Extended Version)

NRCD: An Open Database of Collegiate Running with Unified Performance Standardization

MACS: A Hybrid Multi-Agent Framework for Reliable Conversational E-Commerce Recommendation

Residual Dominance as a Structural Account of Last-Item Reliance in Causal Self-Attention Recommenders

LegalPincite: Multi-level Legal Information Retrieval Dataset

Agentic Context Management: Solving Agent Memory and Cost by Treating Them as Lifecycle and Architecture Problems

OneRank: Unified Transformer-Native Ranking Architecture for Multi-Task Recommendation

Diversed Model Discovery via Structured Table Discovery

On the Robustness of LLM-Based Dense Retrievers: A Systematic Analysis of Generalizability and Stability

Truncated Step-Level Sampling with Process Rewards for Retrieval-Augmented Reasoning

A Theoretical Analysis of NDCG Type Ranking Measures

RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs

Overcoming catastrophic forgetting in neural networks

Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning

A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions

STAN: Spatio-Temporal Attention Network for Next Location Recommendation

DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems

Text Classification Algorithms: A Survey

Embarrassingly Shallow Autoencoders for Sparse Data

Graph Neural Networks for Social Recommendation

Hybrid Recommender Systems: A Systematic Literature Review

Fairness of Exposure in Rankings

Weakly-Supervised Neural Text Classification

A Deep Causal Inference Approach to Measuring the Effects of Forming Group Loans in Online Non-profit Microfinance Platform

Fast Incremental and Personalized PageRank

Self-Taught Hashing for Fast Similarity Search

TRIS: A Tri-Layer Retrieval Integrity Sieve Against Knowledge Poisoning

World Model-Guided Reinforcement Learning via Counterfactual User Engagement Simulation

Think Inside the Chunk: RegulaRAG for Regulation-Compliant Scenario Generation using LLMs: A Case Study of UN Regulation No. 152

Noesis: Bidirectional Graph-RAG with Adaptive Parallelism and Cross-Knowledge-Base Semantic Discovery

DistilVDR: A Compact End-to-End Visual Document Retriever via Dual-Student Distillation

R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Understanding the Behaviors of Environment-aware Information Retrieval

Hierarchical Abstract Tree for Cross-Document Retrieval-Augmented Generation

SuperLocalMemory V3: Information-Geometric Foundations for Zero-LLM Enterprise Agent Memory

UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities

Explainable Recommendation: A Survey and New Perspectives

Product-based Neural Networks for User Response Prediction

Sentiment Analysis of Twitter Data for Predicting Stock Market Movements