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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361 to 420 of 1,623

Retrieval-Augmented Generation: A Comprehensive Survey of Architectures, Enhancements, and Robustness Frontiers
Chaitanya Sharma
cs.IRcs.CLarXiv:2506.00054v12025
Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion
Zhengyi Yang, Jiancan Wu, Zhicai Wang +3
cs.IRarXiv:2310.20453v12023
Summaries:한국어
Content-Based Citation Recommendation
Chandra Bhagavatula, Sergey Feldman, Russell Power +1
cs.CLcs.DLcs.IRarXiv:1802.08301v12018
On Symmetric and Asymmetric LSHs for Inner Product Search
Behnam Neyshabur, Nathan Srebro
stat.MLcs.DScs.IRarXiv:1410.5518v32014
GME: Improving Universal Multimodal Retrieval by Multimodal LLMs
Xin Zhang, Yanzhao Zhang, Wen Xie +7
cs.CLcs.IRarXiv:2412.16855v22024
Understanding Echo Chambers in E-commerce Recommender Systems
Yingqiang Ge, Shuya Zhao, Honglu Zhou +4
cs.IRcs.SIarXiv:2007.02474v12020
How algorithmic popularity bias hinders or promotes quality
Azadeh Nematzadeh, Giovanni Luca Ciampaglia, Filippo Menczer +1
cs.CYcs.IRcs.SIarXiv:1707.00574v22017
What Are You Listening to? Temporal Music Grounding for Audio-to-Text Large Language Models
Kun Fang, Ziyu Wang, Ichiro Fujinaga
cs.SDcs.IRarXiv:2608.29480v12026
STABLE: Efficient Hybrid Nearest Neighbor Search via Magnitude-Uniformity and Cardinality-Robustness
Qianyun Yang, Zhiwei Chen, Yupeng Hu +3
cs.IRarXiv:2604.01617v12026
MMDocIR: Benchmarking Multimodal Retrieval for Long Documents
Kuicai Dong, Yujing Chang, Xin Deik Goh +3
cs.IRcs.AIcs.CLarXiv:2501.08828v32025
DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning
Pengcheng Jiang, Jiacheng Lin, Lang Cao +5
cs.IRarXiv:2503.00223v32025
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks
Namyong Park, Andrey Kan, Xin Luna Dong +2
cs.LGcs.IRstat.MLarXiv:1905.08865v22019
Sparse-Interest Network for Sequential Recommendation
Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao +4
cs.IRcs.LGarXiv:2102.09267v12021
A Review-aware Graph Contrastive Learning Framework for Recommendation
Jie Shuai, Kun Zhang, Le Wu +4
cs.IRarXiv:2204.12063v42022
TAAL: Mitigating Early Beam Pruning in Generative Recommendation via Temporal Autoregressive Alignment
Lianjie Li, Zhiying Tu, Dianhui Chu +1
cs.IRcs.AIarXiv:2608.29179v12026
In-depth Analysis of Graph-based RAG in a Unified Framework
Yingli Zhou, Yaodong Su, Youran Sun +8
cs.IRcs.CLcs.DBarXiv:2503.04338v22025
Word Network Topic Model: A Simple but General Solution for Short and Imbalanced Texts
Yuan Zuo, Jichang Zhao, Ke Xu
cs.CLcs.IRarXiv:1412.5404v12014
LSHTC: A Benchmark for Large-Scale Text Classification
Ioannis Partalas, Aris Kosmopoulos, Nicolas Baskiotis +6
cs.IRcs.CLcs.LGarXiv:1503.08581v12015
Few-Shot Generative Conversational Query Rewriting
Shi Yu, Jiahua Liu, Jingqin Yang +4
cs.IRarXiv:2006.05009v12020
Learning Fair Representations for Recommendation: A Graph-based Perspective
Le Wu, Lei Chen, Pengyang Shao +3
cs.IRarXiv:2102.09140v32021
VideoRAG: Retrieval-Augmented Generation over Video Corpus
Soyeong Jeong, Kangsan Kim, Jinheon Baek +1
cs.CVcs.AIcs.CLarXiv:2501.05874v32025
MELON: A Large-Scale Dataset for Multi-Event Text-to-Long-Video Retrieval
Chan Hur, SeungWoo Song, Jeong-hun Hong +3
cs.IRarXiv:2609.01654v12026
Two-Sided State-Space Models for Sequential Recommendation with Non-Random Multimodal Review Feedback
Ziwen Pan, Zihan Liang, Ruoxuan Xiong
cs.IRarXiv:2609.00165v12026
BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval
Hongjin Su, Howard Yen, Mengzhou Xia +12
cs.CLcs.AIcs.IRarXiv:2407.12883v42024
Text mining in education
R. Ferreira-Mello, M. Andre, A. Pinheiro +2
cs.IRcs.CYcs.LGarXiv:2403.00769v12024
Mining User Opinions in Mobile App Reviews: A Keyword-based Approach
Phong Minh Vu, Tam The Nguyen, Hung Viet Pham +1
cs.IRcs.CLarXiv:1505.04657v22015
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning
Sijin Zhou, Xinyi Dai, Haokun Chen +5
cs.IRarXiv:2006.10389v12020
Imagine Before Retrieval: Prospective Skill Retrieval for LLM Agents
Shuo Liu, Yutong Yang, Haohao Xiao +2
cs.IRarXiv:2609.01642v12026
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
Yuhan Li, Xinni Zhang, Linhao Luo +4
cs.IRcs.CLarXiv:2502.12586v12025
KGVoyager: Knowledge Graph Agnostic Question Answering via Agentic Navigation
Essam Wisam, Chengkai Li
cs.IRarXiv:2609.01780v12026
Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation
Mohammad Mahdi Abootorabi, Amirhosein Zobeiri, Mahdi Dehghani +5
cs.CLcs.AIcs.IRarXiv:2502.08826v32025
A Survey on LLM-powered Agents for Recommender Systems
Qiyao Peng, Hongtao Liu, Hua Huang +2
cs.IRcs.AIarXiv:2502.10050v12025
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation
Yifan Wang, Suyao Tang, Yuntong Lei +3
cs.IRcs.LGcs.SIarXiv:2106.10879v12021
How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer Representations
Betty van Aken, Benjamin Winter, Alexander Löser +1
cs.CLcs.IRarXiv:1909.04925v12019
Combating Disinformation in a Social Media Age
Kai Shu, Amrita Bhattacharjee, Faisal Alatawi +4
cs.SIcs.IRarXiv:2007.07388v12020
From Language to Behavior: Scaling Sequence Transformers for Industrial Recommendation Ranking with Rec-Native Designs
Jie Chen, Xiangqian Yu, Yanchao Lian +9
cs.IRcs.AIcs.LGarXiv:2609.01240v12026
HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation
Yongsen Zheng, Ruilin Xu, Ziliang Chen +4
cs.IRcs.AIcs.HCarXiv:2607.17461v12026
A Systematic Literature Review of Retrieval-Augmented Generation: Techniques, Metrics, and Challenges
Andrew Brown, Muhammad Roman, Barry Devereux
cs.DLcs.AIcs.CLarXiv:2508.06401v32025
Multilingual Topic Models for Unaligned Text
Jordan Boyd-Graber, David Blei
cs.CLcs.IRcs.LGarXiv:1205.2657v12012
LLM-Rec: Personalized Recommendation via Prompting Large Language Models
Hanjia Lyu, Song Jiang, Hanqing Zeng +7
cs.CLcs.AIcs.IRarXiv:2307.15780v32023
A Survey of LLM-based Deep Search Agents: Paradigm, Optimization, Evaluation, and Challenges
Yunjia Xi, Jianghao Lin, Yongzhao Xiao +7
cs.IRcs.AIcs.CLarXiv:2508.05668v32025
Deep Research: A Survey of Autonomous Research Agents
Wenlin Zhang, Xiaopeng Li, Yingyi Zhang +5
cs.IRarXiv:2508.12752v12025
Task-Oriented Query Reformulation with Reinforcement Learning
Rodrigo Nogueira, Kyunghyun Cho
cs.IRarXiv:1704.04572v42017
Modeling Documents with Deep Boltzmann Machines
Nitish Srivastava, Ruslan R Salakhutdinov, Geoffrey E. Hinton
cs.LGcs.IRstat.MLarXiv:1309.6865v12013
PEARL: Front-Loading Relational Chains for Multi-Hop Table Retrieval
Subeen Ho, Hyeongu Kang, SeongKu Kang +1
cs.IRarXiv:2608.30291v12026
Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning
Shengyao Zhuang, Xueguang Ma, Bevan Koopman +2
cs.IRcs.CLarXiv:2503.06034v12025
MixLLM: Dynamic Routing in Mixed Large Language Models
Xinyuan Wang, Yanchi Liu, Wei Cheng +5
cs.CLcs.AIcs.DBarXiv:2502.18482v12025
Agents as Knowledge Integrator and Utilizer in Multimodal Recommendation
Jinfeng Xu, Zheyu Chen, Shuo Yang +9
cs.IRarXiv:2608.29410v12026
SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis
Shuang Sun, Huatong Song, Yuhao Wang +10
cs.CLcs.AIcs.IRarXiv:2505.16834v32025
Personalized Recommender Systems for Gym Workouts: A Reinforcement Learning Approach
Roan Rosema, Helma Torkamaan, Masoud Mansoury
cs.IRarXiv:2608.29409v12026
Combining complex networks and data mining: why and how
M. Zanin, D. Papo, P. A. Sousa +4
physics.soc-phcs.DBcs.IRarXiv:1604.08816v22016
Promptagator: Few-shot Dense Retrieval From 8 Examples
Zhuyun Dai, Vincent Y. Zhao, Ji Ma +7
cs.CLcs.IRarXiv:2209.11755v12022
D3ER: Supporting Multi-Modal Recommendation via Disentangle and Distillation-based Dynamic Ensemble
Bingnan Wang, Yi Li, Xiongxin Tang +2
cs.IRcs.MMarXiv:2608.25737v12026
Not All Matches Are Equally Valuable: An Online Experiment of Retention-Focused Recommendation in a Job-Matching Platform
Tatsuya Ute, Chiaki Ichimura, Yuta Saito
cs.IRarXiv:2609.01652v12026
Fairness in Recommender Systems: Research Landscape and Future Directions
Yashar Deldjoo, Dietmar Jannach, Alejandro Bellogin +2
cs.IRcs.AIarXiv:2205.11127v42022
POP909: A Pop-song Dataset for Music Arrangement Generation
Ziyu Wang, Ke Chen, Junyan Jiang +5
cs.SDcs.IRcs.LGarXiv:2008.07142v12020
SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization
Yue Yu, Kexin Huang, Chao Zhang +3
cs.LGcs.CLcs.IRarXiv:2010.01450v22020
Revisiting N2DCG: An Empirically Grounded Reformulation of Carousel Recommendation Evaluation
Jingwei Kang, Santiago de Leon-Martinez, Maarten de Rijke +1
cs.IRcs.HCarXiv:2608.21877v12026
Metric Learning for Adversarial Robustness
Chengzhi Mao, Ziyuan Zhong, Junfeng Yang +2
cs.LGcs.CRcs.CVarXiv:1909.00900v22019
On the Use of ArXiv as a Dataset
Colin B. Clement, Matthew Bierbaum, Kevin P. O'Keeffe +1
cs.IRcs.LGcs.SIarXiv:1905.00075v12019

Information Retrieval

Retrieval-Augmented Generation: A Comprehensive Survey of Architectures, Enhancements, and Robustness Frontiers

Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion

Content-Based Citation Recommendation

On Symmetric and Asymmetric LSHs for Inner Product Search

GME: Improving Universal Multimodal Retrieval by Multimodal LLMs

Understanding Echo Chambers in E-commerce Recommender Systems

How algorithmic popularity bias hinders or promotes quality

What Are You Listening to? Temporal Music Grounding for Audio-to-Text Large Language Models

STABLE: Efficient Hybrid Nearest Neighbor Search via Magnitude-Uniformity and Cardinality-Robustness

MMDocIR: Benchmarking Multimodal Retrieval for Long Documents

DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks

Sparse-Interest Network for Sequential Recommendation

A Review-aware Graph Contrastive Learning Framework for Recommendation

TAAL: Mitigating Early Beam Pruning in Generative Recommendation via Temporal Autoregressive Alignment

In-depth Analysis of Graph-based RAG in a Unified Framework

Word Network Topic Model: A Simple but General Solution for Short and Imbalanced Texts

LSHTC: A Benchmark for Large-Scale Text Classification

Few-Shot Generative Conversational Query Rewriting

Learning Fair Representations for Recommendation: A Graph-based Perspective

VideoRAG: Retrieval-Augmented Generation over Video Corpus

MELON: A Large-Scale Dataset for Multi-Event Text-to-Long-Video Retrieval

Two-Sided State-Space Models for Sequential Recommendation with Non-Random Multimodal Review Feedback

BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Text mining in education

Mining User Opinions in Mobile App Reviews: A Keyword-based Approach

Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning

Imagine Before Retrieval: Prospective Skill Retrieval for LLM Agents

G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation

KGVoyager: Knowledge Graph Agnostic Question Answering via Agentic Navigation

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation

A Survey on LLM-powered Agents for Recommender Systems

DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation

How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer Representations

Combating Disinformation in a Social Media Age

From Language to Behavior: Scaling Sequence Transformers for Industrial Recommendation Ranking with Rec-Native Designs

HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation

A Systematic Literature Review of Retrieval-Augmented Generation: Techniques, Metrics, and Challenges

Multilingual Topic Models for Unaligned Text

LLM-Rec: Personalized Recommendation via Prompting Large Language Models

A Survey of LLM-based Deep Search Agents: Paradigm, Optimization, Evaluation, and Challenges

Deep Research: A Survey of Autonomous Research Agents

Task-Oriented Query Reformulation with Reinforcement Learning

Modeling Documents with Deep Boltzmann Machines

PEARL: Front-Loading Relational Chains for Multi-Hop Table Retrieval

Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

MixLLM: Dynamic Routing in Mixed Large Language Models

Agents as Knowledge Integrator and Utilizer in Multimodal Recommendation

SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis

Personalized Recommender Systems for Gym Workouts: A Reinforcement Learning Approach

Combining complex networks and data mining: why and how

Promptagator: Few-shot Dense Retrieval From 8 Examples

D3ER: Supporting Multi-Modal Recommendation via Disentangle and Distillation-based Dynamic Ensemble

Not All Matches Are Equally Valuable: An Online Experiment of Retention-Focused Recommendation in a Job-Matching Platform

Fairness in Recommender Systems: Research Landscape and Future Directions

POP909: A Pop-song Dataset for Music Arrangement Generation

SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization

Revisiting N2DCG: An Empirically Grounded Reformulation of Carousel Recommendation Evaluation

Metric Learning for Adversarial Robustness

On the Use of ArXiv as a Dataset