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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2,101 to 2,160 of 2,734

Offline Evaluation Measures of Fairness in Recommender Systems
Theresia Veronika Rampisela
cs.IRarXiv:2604.25032v12026
Is Cosine-Similarity of Embeddings Really About Similarity?
Harald Steck, Chaitanya Ekanadham, Nathan Kallus
cs.IRcs.LGarXiv:2403.05440v12024
Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data
Amila Silva, Ling Luo, Shanika Karunasekera +1
cs.CLcs.IRcs.LGarXiv:2102.06314v42021
Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising
Dongbo Xi, Zhen Chen, Peng Yan +4
cs.AIcs.IRarXiv:2105.08489v22021
QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented Generation
Dehai Min, Kailin Zhang, Tongtong Wu +1
cs.CLcs.IRarXiv:2512.19134v22025
Contrastive Learning for Aspect Representation towards Explainable Recommendation
Emrul Hasan, Chen Ding
cs.IRcs.AIarXiv:2610.07761v12026
CiteBART: Learning to Generate Citations for Local Citation Recommendation
Ege Yiğit Çelik, Selma Tekir
cs.IRcs.AIcs.CLarXiv:2412.17534v32024
CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks
Jiafeng Guo, Changjiang Zhou, Ruqing Zhang +4
cs.IRcs.CLarXiv:2402.16767v12024
Multi-Pointer Co-Attention Networks for Recommendation
Yi Tay, Luu Anh Tuan, Siu Cheung Hui
cs.CLcs.AIcs.IRarXiv:1801.09251v22018
Structurally-bounded Agentic Graph Exploration for Evidence-Grounded Scholarly DeepSearch
Rima Hazra, Sayan Layek, Somnath Banerjee +2
cs.CLcs.IRarXiv:2608.24809v12026
Seeing the Context: Enhancing Recommender Systems with Image-Derived Contextual Signals
Tal Cordova, Tomer Geva, Moshe Unger
cs.IRarXiv:2610.08407v12026
Comparing Retrieval Methods for Academic Advisor Discovery: A Six-Method Study of 768 CS Faculty Profiles Across 9 US Universities
Biraj Subedi
cs.IRcs.LGarXiv:2609.03901v12026
WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-Hop Inference
Peter A. Jansen, Elizabeth Wainwright, Steven Marmorstein +1
cs.CLcs.AIcs.IRarXiv:1802.03052v12018
Next Item Recommendation with Self-Attention
Shuai Zhang, Yi Tay, Lina Yao +1
cs.IRarXiv:1808.06414v22018
TimelyRAG: Semantic-Temporal Hybrid Retrieval for Time-Critical Question Answering in Overlapping-Evolving Documents
Youngeun Nam, Joeun Kim, Hwanjun Song +3
cs.IRarXiv:2609.11572v12026
MixLLM: Dynamic Routing in Mixed Large Language Models
Xinyuan Wang, Yanchi Liu, Wei Cheng +5
cs.CLcs.AIcs.DBarXiv:2502.18482v12025
Multiple Instance Learning Networks for Fine-Grained Sentiment Analysis
Stefanos Angelidis, Mirella Lapata
cs.CLcs.IRcs.LGarXiv:1711.09645v22017
RAG Collapse: LLM Responses Collapse When Retrieved Documents Are Self-Authored
Gregory Druck, Ethan Smith
cs.CLcs.IRarXiv:2608.22118v12026
Deconfounded Recommendation for Alleviating Bias Amplification
Wenjie Wang, Fuli Feng, Xiangnan He +2
cs.IRarXiv:2105.10648v12021
When Does Dense Retrieval Need Asymmetric Geometry? A Bias-Variance Theory of Shared and Dual Projections
Maojun Sun, Yancheng Yuan, Jian Huang +1
cs.IRcs.LGarXiv:2609.32488v12026
Understanding and Comparing Deep Neural Networks for Age and Gender Classification
Sebastian Lapuschkin, Alexander Binder, Klaus-Robert Müller +1
stat.MLcs.AIcs.CVarXiv:1708.07689v12017
Equal Ranking Quality, Different Decisions: Training Order-Consistent LLM Scorers
Markus Frohmann, Mahdiyar Alavi, Elizabeth Lingg +1
cs.CLcs.IRcs.LGarXiv:2608.26762v12026
The Why and How of Nonnegative Matrix Factorization
Nicolas Gillis
stat.MLcs.IRcs.LGarXiv:1401.5226v22014
OpenResearcher: Unleashing AI for Accelerated Scientific Research
Yuxiang Zheng, Shichao Sun, Lin Qiu +13
cs.IRarXiv:2408.06941v22024
Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models
Zhiyuan Peng, Xuyang Wu, Qifan Wang +1
cs.IRcs.AIcs.CLarXiv:2307.08303v52023
Personalized Counterfactual Fairness in Recommendation
Yunqi Li, Hanxiong Chen, Shuyuan Xu +2
cs.IRcs.AIcs.LGarXiv:2105.09829v32021
Imagine Before Retrieval: Prospective Skill Retrieval for LLM Agents
Shuo Liu, Yutong Yang, Haohao Xiao +2
cs.IRarXiv:2609.01642v12026
OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment
Jiaxin Deng, Shiyao Wang, Kuo Cai +5
cs.IRarXiv:2502.18965v12025
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation
Yifan Wang, Suyao Tang, Yuntong Lei +3
cs.IRcs.LGcs.SIarXiv:2106.10879v12021
Graph Neural Team Recommendation: An Integrated Approach
Md Jamil Ahmed, Mahdis Saeedi, Hossein Fani
cs.SIcs.IRarXiv:2609.01631v12026
Precise Zero-Shot Dense Retrieval without Relevance Labels
Luyu Gao, Xueguang Ma, Jimmy Lin +1
cs.IRcs.CLarXiv:2212.10496v12022
Anatomy of a Decision: Uncertainty-aware Hierarchical Intent Learning via Flow Matching for Multimodal Recommendation
Yuchen Miao, Zijun Wang, Ke Liu +1
cs.IRarXiv:2609.29609v12026
Recommender System as Slow and Fast Thinkers
Zichen Yuan, Xiaoxuan Dong, Linkun Dai +8
cs.IRarXiv:2609.02671v12026
NetSpam: a Network-based Spam Detection Framework for Reviews in Online Social Media
Saeedreza Shehnepoor, Mostafa Salehi, Reza Farahbakhsh +1
cs.SIcs.CLcs.IRarXiv:1703.03609v12017
Temporal Relational Ranking for Stock Prediction
Fuli Feng, Xiangnan He, Xiang Wang +3
cs.CEcs.IRq-fin.GNarXiv:1809.09441v22018
SOLO: Certified-Recall Metric Similarity Search with Scan-Only Sampled Inverted Lists
Édgar Chávez
cs.DBcs.IRarXiv:2610.02387v22026
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems
Sixiao Zhang, Hongxu Chen, Xiao Ming +3
cs.IRcs.LGarXiv:2105.08908v12021
Document Ranking with a Pretrained Sequence-to-Sequence Model
Rodrigo Nogueira, Zhiying Jiang, Jimmy Lin
cs.IRcs.LGarXiv:2003.06713v12020
Artificial Intelligence for Literature Reviews: Opportunities and Challenges
Francisco Bolanos, Angelo Salatino, Francesco Osborne +1
cs.AIcs.HCcs.IRarXiv:2402.08565v22024
Rank1: Test-Time Compute for Reranking in Information Retrieval
Orion Weller, Kathryn Ricci, Eugene Yang +3
cs.IRcs.CLcs.LGarXiv:2502.18418v22025
Should I Be Polite to My LLM Relevance Judge? Tone as a Severity Operating-Point Shift
Tian Zhang, Meng Li
cs.IRarXiv:2609.09703v12026
ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents
Qiuchen Wang, Ruixue Ding, Zehui Chen +4
cs.CVcs.AIcs.CLarXiv:2502.18017v22025
Leveraging Large Language Models for Knowledge-free Weak Supervision in Clinical Natural Language Processing
Enshuo Hsu, Kirk Roberts
cs.CLcs.IRarXiv:2406.06723v12024
Reasoning with Language Model Prompting: A Survey
Shuofei Qiao, Yixin Ou, Ningyu Zhang +6
cs.CLcs.AIcs.CVarXiv:2212.09597v82022
Semantica: Decentralized Search using a LLM-Guided Semantic Tree Overlay
Petru Neague, Quinten Stokkink, Naman Goel +1
cs.IRcs.DCcs.NIarXiv:2502.10151v12025
Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation
Ruining He, Chen Fang, Zhaowen Wang +1
cs.IRcs.AIarXiv:1607.04373v12016
InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem
Shuofei Qiao, Yunxiang Wei, Xuehai Wang +10
cs.CLcs.AIcs.IRarXiv:2602.14367v22026
Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction
Qi Pi, Weijie Bian, Guorui Zhou +2
cs.IRarXiv:1905.09248v32019
Self-Retrospection Distillation: Turning Post-hoc Experiences into Prior Foresight
Haoxiang Zhang, Qinglin Chen, Hiroaki Hayashi +9
cs.AIcs.CLcs.IRarXiv:2610.08077v12026
Equity of Attention: Amortizing Individual Fairness in Rankings
Asia J. Biega, Krishna P. Gummadi, Gerhard Weikum
cs.IRcs.CYarXiv:1805.01788v12018
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks
Namyong Park, Andrey Kan, Xin Luna Dong +2
cs.LGcs.IRstat.MLarXiv:1905.08865v22019
Generative AI Search Engines as Arbiters of Public Knowledge: An Audit of Bias and Authority
Alice Li, Luanne Sinnamon
cs.IRcs.HCarXiv:2405.14034v12024
Using Word Embeddings for Automatic Query Expansion
Dwaipayan Roy, Debjyoti Paul, Mandar Mitra +1
cs.IRarXiv:1606.07608v12016
Understanding the Behaviors of BERT in Ranking
Yifan Qiao, Chenyan Xiong, Zhenghao Liu +1
cs.IRcs.CLarXiv:1904.07531v42019
A Systematic Review of Generative AI for Teaching and Learning Practice
Bayode Ogunleye, Kudirat Ibilola Zakariyyah, Oluwaseun Ajao +2
cs.IRcs.AIcs.CLarXiv:2406.09520v12024
Global Context Enhanced Graph Neural Networks for Session-based Recommendation
Ziyang Wang, Wei Wei, Gao Cong +3
cs.IRarXiv:2106.05081v12021
Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification
Ting Chen, Yizhou Sun
cs.LGcs.AIcs.IRarXiv:1612.02814v22016
Component Benchmark: Hierarchical Model Profiling for Large-scale Recommendation Systems
Dharak Kharod, Yuzhen Huang, Zhou Wang +11
cs.IRarXiv:2609.30656v12026
RAR-b: Reasoning as Retrieval Benchmark
Chenghao Xiao, G Thomas Hudson, Noura Al Moubayed
cs.CLcs.IRarXiv:2404.06347v22024
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Lee Xiong, Chenyan Xiong, Ye Li +5
cs.IRcs.CLcs.LGarXiv:2007.00808v22020

Information Retrieval

Offline Evaluation Measures of Fairness in Recommender Systems

Is Cosine-Similarity of Embeddings Really About Similarity?

Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data

Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising

QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented Generation

Contrastive Learning for Aspect Representation towards Explainable Recommendation

CiteBART: Learning to Generate Citations for Local Citation Recommendation

CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks

Multi-Pointer Co-Attention Networks for Recommendation

Structurally-bounded Agentic Graph Exploration for Evidence-Grounded Scholarly DeepSearch

Seeing the Context: Enhancing Recommender Systems with Image-Derived Contextual Signals

Comparing Retrieval Methods for Academic Advisor Discovery: A Six-Method Study of 768 CS Faculty Profiles Across 9 US Universities

WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-Hop Inference

Next Item Recommendation with Self-Attention

TimelyRAG: Semantic-Temporal Hybrid Retrieval for Time-Critical Question Answering in Overlapping-Evolving Documents

MixLLM: Dynamic Routing in Mixed Large Language Models

Multiple Instance Learning Networks for Fine-Grained Sentiment Analysis

RAG Collapse: LLM Responses Collapse When Retrieved Documents Are Self-Authored

Deconfounded Recommendation for Alleviating Bias Amplification

When Does Dense Retrieval Need Asymmetric Geometry? A Bias-Variance Theory of Shared and Dual Projections

Understanding and Comparing Deep Neural Networks for Age and Gender Classification

Equal Ranking Quality, Different Decisions: Training Order-Consistent LLM Scorers

The Why and How of Nonnegative Matrix Factorization

OpenResearcher: Unleashing AI for Accelerated Scientific Research

Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models

Personalized Counterfactual Fairness in Recommendation

Imagine Before Retrieval: Prospective Skill Retrieval for LLM Agents

OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment

DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation

Graph Neural Team Recommendation: An Integrated Approach

Precise Zero-Shot Dense Retrieval without Relevance Labels

Anatomy of a Decision: Uncertainty-aware Hierarchical Intent Learning via Flow Matching for Multimodal Recommendation

Recommender System as Slow and Fast Thinkers

NetSpam: a Network-based Spam Detection Framework for Reviews in Online Social Media

Temporal Relational Ranking for Stock Prediction

SOLO: Certified-Recall Metric Similarity Search with Scan-Only Sampled Inverted Lists

Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems

Document Ranking with a Pretrained Sequence-to-Sequence Model

Artificial Intelligence for Literature Reviews: Opportunities and Challenges

Rank1: Test-Time Compute for Reranking in Information Retrieval

Should I Be Polite to My LLM Relevance Judge? Tone as a Severity Operating-Point Shift

ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents

Leveraging Large Language Models for Knowledge-free Weak Supervision in Clinical Natural Language Processing

Reasoning with Language Model Prompting: A Survey

Semantica: Decentralized Search using a LLM-Guided Semantic Tree Overlay

Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation

InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem

Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction

Self-Retrospection Distillation: Turning Post-hoc Experiences into Prior Foresight

Equity of Attention: Amortizing Individual Fairness in Rankings

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks

Generative AI Search Engines as Arbiters of Public Knowledge: An Audit of Bias and Authority

Using Word Embeddings for Automatic Query Expansion

Understanding the Behaviors of BERT in Ranking

A Systematic Review of Generative AI for Teaching and Learning Practice

Global Context Enhanced Graph Neural Networks for Session-based Recommendation

Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification

Component Benchmark: Hierarchical Model Profiling for Large-scale Recommendation Systems

RAR-b: Reasoning as Retrieval Benchmark

Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval