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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1,921 to 1,980 of 2,759

Multi-Agent Retrieval-Augmented Generation for Efficient Cloud Knowledge Base Search in Telecom SNOC Environment
Harish Saragadam, Sudhanshu Sharma, Ipsha Routray
cs.IRcs.LGarXiv:2609.01618v12026
FinAuditing: A Financial Taxonomy-Structured Multi-Document Benchmark for Evaluating LLMs
Yan Wang, Keyi Wang, Shanshan Yang +12
cs.CLcs.CEcs.IRarXiv:2510.08886v32025
A Simple Convolutional Generative Network for Next Item Recommendation
Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis +2
cs.IRcs.LGstat.MLarXiv:1808.05163v42018
Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval
Ravisri Valluri, Akash Kumar Mohankumar, Kushal Dave +4
cs.CLcs.IRcs.LGarXiv:2406.06739v12024
A Survey on Federated Recommendation Systems
Zehua Sun, Yonghui Xu, Yong Liu +5
cs.IRcs.AIcs.CRarXiv:2301.00767v22022
COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification
Jim Samuel, G. G. Md. Nawaz Ali, Md. Mokhlesur Rahman +2
cs.IRcs.SIarXiv:2005.10898v12020
Graph Neural News Recommendation with Long-term and Short-term Interest Modeling
Linmei Hu, Chen Li, Chuan Shi +2
cs.IRcs.CLcs.LGarXiv:1910.14025v22019
Open Deep Search: Democratizing Search with Open-source Reasoning Agents
Salaheddin Alzubi, Creston Brooks, Purva Chiniya +9
cs.LGcs.CLcs.IRarXiv:2503.20201v12025
Beyond Parity: Fairness Objectives for Collaborative Filtering
Sirui Yao, Bert Huang
cs.IRcs.AIcs.LGarXiv:1705.08804v22017
BiRank: Towards Ranking on Bipartite Graphs
Xiangnan He, Ming Gao, Min-Yen Kan +1
cs.IRarXiv:1708.04396v12017
M3Retrieve: Benchmarking Multimodal Retrieval for Medicine
Arkadeep Acharya, Akash Ghosh, Pradeepika Verma +3
cs.IRcs.AIarXiv:2510.06888v12025
CoDEx: A Comprehensive Knowledge Graph Completion Benchmark
Tara Safavi, Danai Koutra
cs.CLcs.AIcs.IRarXiv:2009.07810v22020
Scalable In-context Ranking with Generative Models
Nilesh Gupta, Chong You, Srinadh Bhojanapalli +3
cs.IRcs.LGarXiv:2510.05396v22025
A Comprehensive Survey on Trustworthy Recommender Systems
Wenqi Fan, Xiangyu Zhao, Xiao Chen +8
cs.IRcs.AIcs.CRarXiv:2209.10117v12022
Breaking BERT: Understanding its Vulnerabilities for Named Entity Recognition through Adversarial Attack
Anne Dirkson, Suzan Verberne, Wessel Kraaij
cs.CLcs.IRarXiv:2109.11308v32021
Spam Review Detection with Graph Convolutional Networks
Ao Li, Zhou Qin, Runshi Liu +2
cs.IRcs.LGcs.NIarXiv:1908.10679v12019
Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again
Bernal Jiménez Gutiérrez, Nikolas McNeal, Clay Washington +4
cs.CLcs.IRarXiv:2203.08410v32022
Towards Faithful Simulation of Human Shopping Behavior
Jiakai Tang, Yan Mi, Jing Yu +9
cs.IRarXiv:2608.20707v12026
Predicting the popularity of online content
Gabor Szabo, Bernardo A. Huberman
cs.CYcs.IRphysics.soc-pharXiv:0811.0405v12008
Advancing Model Research in AgentX: Long-Horizon Autonomy for Industrial Recommender Systems
Shuang Yang, Zijie Zhuang, Changxin Lao +20
cs.AIcs.IRarXiv:2609.30001v12026
Beyond Resolution: Object-to-Image Ratio Mismatch in Instance Retrieval
Boaz Meivar, Ofir Kedem, Amit Edenzon +2
cs.CVcs.IRarXiv:2610.11489v12026
From Topical Relevance to Answerability: Entailment Distillation for Conversational Retrieval
Shuai Qin, Guojia An, Weikang Guo +4
cs.IRarXiv:2609.03482v12026
Learning Better Reasoning for Generative Recommendation with Semantic IDs
Mengdan Zhu, Yufan Zhao, Sophie Di +5
cs.IRcs.AIarXiv:2609.29973v12026
UniCon: A Unified Context-Centric Modeling Paradigm for CTR Prediction
Jiajun Cui, Zhengqi Xu, Fan Zhang +6
cs.IRarXiv:2609.03290v22026
RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendation
Pengjie Ren, Zhumin Chen, Jing Li +3
cs.IRarXiv:1812.02646v12018
Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer
Yujia Zhou, Jing Yao, Zhicheng Dou +3
cs.IRarXiv:2208.09257v12022
Building Human Values into Recommender Systems: An Interdisciplinary Synthesis
Jonathan Stray, Alon Halevy, Parisa Assar +18
cs.IRcs.SIarXiv:2207.10192v12022
Ask a Language Model for Lottery Numbers: Concentration in Repeated Six-of-49 Outputs
Dmitrij Żatuchin
cs.IRcs.AIcs.CLarXiv:2610.00052v12026
Towards Personalized Deep Research: Benchmarks and Evaluations
Yuan Liang, Jiaxian Li, Yuqing Wang +11
cs.CLcs.AIcs.IRarXiv:2509.25106v32025
SHELF: A Synthetic Harness for Multi-Task Bibliographic Benchmarking
Michael J. Bommarito II
cs.CLcs.AIcs.IRarXiv:2609.03047v12026
Lazier Than Lazy Greedy
Baharan Mirzasoleiman, Ashwinkumar Badanidiyuru, Amin Karbasi +2
cs.LGcs.DScs.IRarXiv:1409.7938v32014
Evaluation of Session-based Recommendation Algorithms
Malte Ludewig, Dietmar Jannach
cs.IRcs.AIcs.LGarXiv:1803.09587v22018
Complex Temporal Question Answering on Knowledge Graphs
Zhen Jia, Soumajit Pramanik, Rishiraj Saha Roy +1
cs.IRcs.CLarXiv:2109.08935v12021
VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval
Junjie Zhou, Zheng Liu, Shitao Xiao +2
cs.IRcs.CLcs.CVarXiv:2406.04292v12024
PatchHolmes: Agentic Patch Retrieval via Listwise Selection
Guanqun Yang, Yingming Zhou, Jiangrui Zheng +2
cs.IRcs.SEarXiv:2609.38807v12026
Unbiased Learning-to-Rank with Biased Feedback
Thorsten Joachims, Adith Swaminathan, Tobias Schnabel
cs.IRcs.LGarXiv:1608.04468v12016
Learning to Route in Visual Space via Multi-Step Embedding Retrieval
Tianyu Chen, Mingyuan Zhou, Jiaxing Wu
cs.AIcs.IRarXiv:2609.38743v12026
Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation
Bowen Zheng, Yupeng Hou, Hongyu Lu +4
cs.IRarXiv:2311.09049v42023
LSF-SR: Latent Semantic Fusion for Sequential Recommendation via Flow-based Conditional Variational Autoencoders
Shih-Hong Chen, Josh Jia-Ching Ying, Vincent S. Tseng
cs.IRarXiv:2609.29815v12026
Interactive Path Reasoning on Graph for Conversational Recommendation
Wenqiang Lei, Gangyi Zhang, Xiangnan He +4
cs.IRarXiv:2007.00194v12020
SproutRAG: Attention-Guided Tree Search with Progressive Embeddings for Long-Document RAG
Amirhossein Abaskohi, Issam H. Laradji, Peter West +1
cs.CLcs.IRarXiv:2606.18381v12026
Closed Forms and Synthetic Twins: Predicting Approximate Nearest Neighbor Recall from Embedding Statistics
Shmuel Herman
cs.IRarXiv:2609.00364v12026
"Knowing When You Don't Know": A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation
Nandan Thakur, Luiz Bonifacio, Xinyu Zhang +8
cs.CLcs.IRarXiv:2312.11361v32023
Wide & Deep Learning for Recommender Systems
Heng-Tze Cheng, Levent Koc, Jeremiah Harmsen +13
cs.LGcs.IRstat.MLarXiv:1606.07792v12016
Unifying Generative Recall and Multi-Objective Ranking in a Single Decoder-Only Sequence
Ruochen Yang, Shuang Wen, Pengbo Xu +6
cs.IRarXiv:2607.24439v12026
InsightToast: Proactive Information Retrieval & Glanceable Visualization in the Side Channel of Data-Rich Meetings
Mohammad Abolnejadian, Matthew Brehmer
cs.HCcs.IRarXiv:2608.31115v12026
HyFormer: Revisiting the Roles of Sequence Modeling and Feature Interaction in CTR Prediction
Yunwen Huang, Shiyong Hong, Xijun Xiao +7
cs.IRarXiv:2601.12681v22026
Federated Unlearning for On-Device Recommendation
Wei Yuan, Hongzhi Yin, Fangzhao Wu +3
cs.IRarXiv:2210.10958v22022
Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval
Xinyu Zhang, Xueguang Ma, Peng Shi +1
cs.CLcs.IRarXiv:2108.08787v22021
Can Large Language Models Identify Meaningful Touchpoints in Conversion Attribution?
Jinqi Wu, Sishuo Chen, Zhangming Chan +9
cs.CLcs.AIcs.IRarXiv:2608.28649v12026
SoccerNet-FoulRet: Retrieving Semantically Similar Soccer Foul Videos
Jacobus Arthur, Ahmad Sait, Batool Hani +6
cs.CVcs.IRarXiv:2610.09742v12026
Towards Explaining Query Expansion Performance in Information Retrieval
Sourav Saha, Aditya Dutta, Soumajit Pramanik +1
cs.IRcs.CLarXiv:2610.09724v12026
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation
Junda Wu, Cheng-Chun Chang, Tong Yu +4
cs.IRcs.AIarXiv:2403.06447v12024
Same Ranking, Different Winner: How Scoring Targets Shape LLM Memory Benchmarks
Sugam Panthi, Rabab Abdelfattah
cs.IRarXiv:2605.24060v22026
Learning to Retrieve via Reinforcement Learning in Embedding Space
Qi Liu, Fengming Liang, Yiqun Chen +2
cs.IRcs.AIcs.CLarXiv:2610.07731v12026
LSCP: Locally Selective Combination in Parallel Outlier Ensembles
Yue Zhao, Zain Nasrullah, Maciej K. Hryniewicki +1
cs.LGcs.IRstat.MLarXiv:1812.01528v22018
DiffKG: Knowledge Graph Diffusion Model for Recommendation
Yangqin Jiang, Yuhao Yang, Lianghao Xia +1
cs.IRarXiv:2312.16890v12023
Network Filtering for Big Data: Triangulated Maximally Filtered Graph
Guido Previde Massara, T. Di Matteo, Tomaso Aste
cs.DScond-mat.stat-mechcs.IRarXiv:1505.02445v22015
LGMRec: Local and Global Graph Learning for Multimodal Recommendation
Zhiqiang Guo, Jianjun Li, Guohui Li +3
cs.IRarXiv:2312.16400v22023
Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection
Shumin Deng, Ningyu Zhang, Jiaojian Kang +3
cs.CLcs.AIcs.IRarXiv:1910.11621v22019

Information Retrieval

Multi-Agent Retrieval-Augmented Generation for Efficient Cloud Knowledge Base Search in Telecom SNOC Environment

FinAuditing: A Financial Taxonomy-Structured Multi-Document Benchmark for Evaluating LLMs

A Simple Convolutional Generative Network for Next Item Recommendation

Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval

A Survey on Federated Recommendation Systems

COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification

Graph Neural News Recommendation with Long-term and Short-term Interest Modeling

Open Deep Search: Democratizing Search with Open-source Reasoning Agents

Beyond Parity: Fairness Objectives for Collaborative Filtering

BiRank: Towards Ranking on Bipartite Graphs

M3Retrieve: Benchmarking Multimodal Retrieval for Medicine

CoDEx: A Comprehensive Knowledge Graph Completion Benchmark

Scalable In-context Ranking with Generative Models

A Comprehensive Survey on Trustworthy Recommender Systems

Breaking BERT: Understanding its Vulnerabilities for Named Entity Recognition through Adversarial Attack

Spam Review Detection with Graph Convolutional Networks

Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again

Towards Faithful Simulation of Human Shopping Behavior

Predicting the popularity of online content

Advancing Model Research in AgentX: Long-Horizon Autonomy for Industrial Recommender Systems

Beyond Resolution: Object-to-Image Ratio Mismatch in Instance Retrieval

From Topical Relevance to Answerability: Entailment Distillation for Conversational Retrieval

Learning Better Reasoning for Generative Recommendation with Semantic IDs

UniCon: A Unified Context-Centric Modeling Paradigm for CTR Prediction

RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendation

Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer

Building Human Values into Recommender Systems: An Interdisciplinary Synthesis

Ask a Language Model for Lottery Numbers: Concentration in Repeated Six-of-49 Outputs

Towards Personalized Deep Research: Benchmarks and Evaluations

SHELF: A Synthetic Harness for Multi-Task Bibliographic Benchmarking

Lazier Than Lazy Greedy

Evaluation of Session-based Recommendation Algorithms

Complex Temporal Question Answering on Knowledge Graphs

VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval

PatchHolmes: Agentic Patch Retrieval via Listwise Selection

Unbiased Learning-to-Rank with Biased Feedback

Learning to Route in Visual Space via Multi-Step Embedding Retrieval

Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation

LSF-SR: Latent Semantic Fusion for Sequential Recommendation via Flow-based Conditional Variational Autoencoders

Interactive Path Reasoning on Graph for Conversational Recommendation

SproutRAG: Attention-Guided Tree Search with Progressive Embeddings for Long-Document RAG

Closed Forms and Synthetic Twins: Predicting Approximate Nearest Neighbor Recall from Embedding Statistics

"Knowing When You Don't Know": A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation

Wide & Deep Learning for Recommender Systems

Unifying Generative Recall and Multi-Objective Ranking in a Single Decoder-Only Sequence

InsightToast: Proactive Information Retrieval & Glanceable Visualization in the Side Channel of Data-Rich Meetings

HyFormer: Revisiting the Roles of Sequence Modeling and Feature Interaction in CTR Prediction

Federated Unlearning for On-Device Recommendation

Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval

Can Large Language Models Identify Meaningful Touchpoints in Conversion Attribution?

SoccerNet-FoulRet: Retrieving Semantically Similar Soccer Foul Videos

Towards Explaining Query Expansion Performance in Information Retrieval

CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation

Same Ranking, Different Winner: How Scoring Targets Shape LLM Memory Benchmarks

Learning to Retrieve via Reinforcement Learning in Embedding Space

LSCP: Locally Selective Combination in Parallel Outlier Ensembles

DiffKG: Knowledge Graph Diffusion Model for Recommendation

Network Filtering for Big Data: Triangulated Maximally Filtered Graph

LGMRec: Local and Global Graph Learning for Multimodal Recommendation

Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection