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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2,281 to 2,340 of 2,767

SpeakerMem-R1: Speaker-Centered Dual-Track Memory for Multi-Party Dialogue
Haobo Zheng, Tan Tang, Yan Chen +2
cs.CLcs.AIcs.IRarXiv:2609.26780v22026
Overview of the TREC 2020 deep learning track
Nick Craswell, Bhaskar Mitra, Emine Yilmaz +1
cs.IRcs.AIcs.CLarXiv:2102.07662v12021
Diversed Model Discovery via Structured Table Discovery
Zhengyuan Dong, Renée J. Miller
cs.IRarXiv:2605.22766v12026
Optimal Hashing-based Time-Space Trade-offs for Approximate Near Neighbors
Alexandr Andoni, Thijs Laarhoven, Ilya Razenshteyn +1
cs.DScs.CCcs.CGarXiv:1608.03580v22016
Knowledge-enhanced Black-box Attacks for Recommendations
Jingfan Chen, Wenqi Fan, Guanghui Zhu +4
cs.LGcs.AIcs.IRarXiv:2207.10307v12022
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
Federico Monti, Michael M. Bronstein, Xavier Bresson
cs.LGcs.IRmath.NAarXiv:1704.06803v12017
Joint Neural Collaborative Filtering for Recommender Systems
Wanyu Chen, Fei Cai, Honghui Chen +1
cs.IRarXiv:1907.03459v22019
Sparse Coverage: Semantic Center Representations for Patent Prior-Art Retrieval
You Zuo, Kim Gerdes, Éric de la Clergerie +1
cs.IRcs.AIarXiv:2608.16918v12026
Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search
Kelong Mao, Zhicheng Dou, Fengran Mo +3
cs.IRarXiv:2303.06573v22023
Structure and Dynamics of Information Pathways in Online Media
Manuel Gomez Rodriguez, Jure Leskovec, Bernhard Schölkopf
cs.SIcs.DScs.IRarXiv:1212.1464v12012
Bayesian Locality Sensitive Hashing for Fast Similarity Search
Venu Satuluri, Srinivasan Parthasarathy
cs.DBcs.AIcs.DSarXiv:1110.1328v32011
Editing Large Language Models: Problems, Methods, and Opportunities
Yunzhi Yao, Peng Wang, Bozhong Tian +5
cs.CLcs.AIcs.CVarXiv:2305.13172v32023
The Impact of Backbone Evolution on LLM-Based Relevance Assessments
Chuting Yu, Guido Zuccon, Teerapong Leelanupab
cs.IRarXiv:2610.09820v12026
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search
Sahin Cem Geyik, Stuart Ambler, Krishnaram Kenthapadi
cs.IRcs.LGarXiv:1905.01989v32019
AMEM4Rec: Leveraging Cross-User Similarity for Memory Evolution in Agentic LLM Recommenders
Minh-Duc Nguyen, Hai-Dang Kieu, Dung D. Le
cs.IRcs.LGarXiv:2602.08837v12026
RAGSentinel: Certifiable Geometric Consensus for Robust Retrieval-Augmented Generation
Yueyang Quan, Anjun Gao, Yufei Xia +2
cs.CRcs.AIcs.IRarXiv:2608.23965v12026
NeuronGuard: Robust LLM Safety Alignment via Ablation-Aware Safety Signal Redistribution
Anjun Gao, Yueyang Quan, Yufei Xia +2
cs.CRcs.AIcs.IRarXiv:2608.23959v12026
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning
Sijin Zhou, Xinyi Dai, Haokun Chen +5
cs.IRarXiv:2006.10389v12020
MURAL: Multimodal Uncertainty-aware Recommendation via Adaptive edge Learning
Ahmad Mousavi, Majid Alikhani, Yeon-Chang Lee +2
cs.IRcs.LGcs.SIarXiv:2609.04574v12026
hoBIT: A Profile-Aware Retrieval-Augmented Chatbot for University Academic Advising
Yoonseo Kim, Seongmin Lee, Joongheon Kim +1
cs.IRcs.LGarXiv:2608.26604v12026
AGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation
Bao Long Nguyen Huu, Atsushi Hashimoto
cs.IRcs.AIarXiv:2607.00052v12026
POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion
Wen Chen, Pipei Huang, Jiaming Xu +7
cs.IRarXiv:1905.01866v32019
ConceptFormer: Learning Adaptive Latent Concepts for Query-Document Alignment in Visual Document Retrieval
Peng Chunyi, Xu Zhipeng, Yan Yukun +9
cs.CVcs.IRarXiv:2608.15698v12026
Discriminative Predicate Path Mining for Fact Checking in Knowledge Graphs
Baoxu Shi, Tim Weninger
cs.DBcs.AIcs.IRarXiv:1510.05911v22015
SAGE: Benchmarking and Improving Retrieval for Deep Research Agents
Tiansheng Hu, Yilun Zhao, Canyu Zhang +2
cs.IRcs.CLarXiv:2602.05975v22026
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network
Cheng Zhao, Chenliang Li, Rong Xiao +2
cs.IRcs.LGarXiv:2005.10549v22020
Redefining Retrieval Evaluation in the Era of LLMs
Giovanni Trappolini, Florin Cuconasu, Simone Filice +2
cs.CLcs.IRarXiv:2510.21440v12025
A Context-Aware User-Item Representation Learning for Item Recommendation
Libing Wu, Cong Quan, Chenliang Li +2
cs.IRarXiv:1712.02342v52017
TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation
Feng Yu, Yanqiao Zhu, Qiang Liu +3
cs.IRcs.LGarXiv:2005.02844v12020
Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup
Luyu Gao, Yunyi Zhang, Jiawei Han +1
cs.LGcs.CLcs.IRarXiv:2101.06983v22021
Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models
Minbyul Jeong, Jiwoong Sohn, Mujeen Sung +1
cs.CLcs.AIcs.IRarXiv:2401.15269v32024
Embedding Surgery: Localized Updates for Adaptive Ranking Correction in Dense Retrieval
Maddalena Amendola, Antonio Mallia, Raffaele Perego
cs.IRarXiv:2609.05110v12026
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network
Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa +1
cs.CLcs.IRarXiv:1906.04684v12019
GANDR: Claim Auditing for Verifiable Legal Answer Generation
Chen Qian, Yimeng Wang, Yu Chen +2
cs.CLcs.AIcs.IRarXiv:2609.10293v12026
Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art
Ilias Azizi, Karima Echihabi, Themis Palpanas
cs.IRcs.PFarXiv:2502.05575v22025
Decision-Oriented Recommendation Reranking: An Empirical Study of Jev
Hanjia Lyu, Yinglong Xia
cs.IRcs.CLarXiv:2609.40241v12026
Metric and Kernel Learning using a Linear Transformation
Prateek Jain, Brian Kulis, Jason V. Davis +1
cs.LGcs.CVcs.IRarXiv:0910.5932v12009
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation
Junliang Yu, Hongzhi Yin, Jundong Li +3
cs.IRcs.SIarXiv:2101.06448v42021
Semantic Product Search
Priyanka Nigam, Yiwei Song, Vijai Mohan +7
cs.IRcs.CLarXiv:1907.00937v12019
User-oriented Fairness in Recommendation
Yunqi Li, Hanxiong Chen, Zuohui Fu +2
cs.IRcs.AIcs.HCarXiv:2104.10671v12021
Composite Correlation Quantization for Efficient Multimodal Retrieval
Mingsheng Long, Yue Cao, Jianmin Wang +1
cs.IRarXiv:1504.04818v22015
Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning
Yaochen Zhu, Harald Steck, Dawen Liang +4
cs.IRarXiv:2510.20150v52025
b-Bit Minwise Hashing
Ping Li, Arnd Christian Konig
cs.DScs.DBcs.IRarXiv:0910.3349v12009
Topic Modeling Based Multi-modal Depression Detection
Yuan Gong, Christian Poellabauer
cs.CLcs.IRcs.LGarXiv:1803.10384v12018
The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Ronak Pradeep, Rodrigo Nogueira, Jimmy Lin
cs.IRcs.CLarXiv:2101.05667v12021
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space
Yupeng Hou, Binbin Hu, Zhiqiang Zhang +1
cs.IRcs.AIarXiv:2204.11067v12022
Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation
Weiqing Wang, Hongzhi Yin, Ling Chen +3
cs.IRcs.DBcs.SIarXiv:1503.03650v12015
Exploiting Cross-Session Information for Session-based Recommendation with Graph Neural Networks
Ruihong Qiu, Zi Huang, Jingjing Li +1
cs.IRarXiv:2107.00852v22021
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
Weiwei Sun, Lingyong Yan, Xinyu Ma +5
cs.CLcs.IRarXiv:2304.09542v32023
Anticipate and Learn: Unleashing Idle-Time Compute in Proactive Agents
Haoyi Hu, Qirong Lyu, Xianghan Kong +7
cs.CLcs.IRcs.MAarXiv:2605.25971v22026
LEGO: Synergizing Expert GraphRAG and Expert Chain-of-Thought for Legal Reasoning
Qingjing Chen, Junkai Zhang, Shaochun Wang +7
cs.CLcs.IRarXiv:2609.27009v12026
Reveal Hidden Pitfalls and Navigate Next Generation of Vector Similarity Search from Task-Centric Views
Tingyang Chen, Cong Fu, Jiahua Wu +6
cs.IRcs.DBarXiv:2512.12980v22025
DIVER: A Multi-Stage Approach for Reasoning-intensive Information Retrieval
Duolin Sun, Meixiu Long, Dan Yang +9
cs.IRcs.AIarXiv:2508.07995v52025
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims
Isabelle Augenstein, Christina Lioma, Dongsheng Wang +4
cs.CLcs.IRcs.LGarXiv:1909.03242v22019
SimpleX: A Simple and Strong Baseline for Collaborative Filtering
Kelong Mao, Jieming Zhu, Jinpeng Wang +4
cs.IRcs.AIarXiv:2109.12613v32021
Tracing and Taming Hallucinated Terms via Subsequence-Association Filtering and Breadth-Aware Selection for LLM Query Expansion
Amit Kumar Jaiswal, Sagar Uprety, Prayag Tiwari
cs.IRcs.CLarXiv:2610.13810v12026
SignTrace: Describe a Sign, Find the Word
Zengji Tu, Xingye Zhu, Ningjing Wang +3
cs.CLcs.AIcs.IRarXiv:2609.30295v12026
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data
Shuohang Wang, Yichong Xu, Yuwei Fang +5
cs.CLcs.AIcs.IRarXiv:2203.08773v12022
Evaluating Deep Learning Approaches for Covid19 Fake News Detection
Apurva Wani, Isha Joshi, Snehal Khandve +2
cs.LGcs.IRarXiv:2101.04012v22021
From Generation to Attribution: Music AI Agent Architectures for the Post-Streaming Era
Wonil Kim, Hyeongseok Wi, Seungsoon Park +12
cs.IRcs.HCcs.MAarXiv:2510.20276v22025

Information Retrieval

SpeakerMem-R1: Speaker-Centered Dual-Track Memory for Multi-Party Dialogue

Overview of the TREC 2020 deep learning track

Diversed Model Discovery via Structured Table Discovery

Optimal Hashing-based Time-Space Trade-offs for Approximate Near Neighbors

Knowledge-enhanced Black-box Attacks for Recommendations

Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks

Joint Neural Collaborative Filtering for Recommender Systems

Sparse Coverage: Semantic Center Representations for Patent Prior-Art Retrieval

Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search

Structure and Dynamics of Information Pathways in Online Media

Bayesian Locality Sensitive Hashing for Fast Similarity Search

Editing Large Language Models: Problems, Methods, and Opportunities

The Impact of Backbone Evolution on LLM-Based Relevance Assessments

Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search

AMEM4Rec: Leveraging Cross-User Similarity for Memory Evolution in Agentic LLM Recommenders

RAGSentinel: Certifiable Geometric Consensus for Robust Retrieval-Augmented Generation

NeuronGuard: Robust LLM Safety Alignment via Ablation-Aware Safety Signal Redistribution

Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning

MURAL: Multimodal Uncertainty-aware Recommendation via Adaptive edge Learning

hoBIT: A Profile-Aware Retrieval-Augmented Chatbot for University Academic Advising

AGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation

POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion

ConceptFormer: Learning Adaptive Latent Concepts for Query-Document Alignment in Visual Document Retrieval

Discriminative Predicate Path Mining for Fact Checking in Knowledge Graphs

SAGE: Benchmarking and Improving Retrieval for Deep Research Agents

CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network

Redefining Retrieval Evaluation in the Era of LLMs

A Context-Aware User-Item Representation Learning for Item Recommendation

TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation

Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models

Embedding Surgery: Localized Updates for Adaptive Ranking Correction in Dense Retrieval

Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network

GANDR: Claim Auditing for Verifiable Legal Answer Generation

Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art

Decision-Oriented Recommendation Reranking: An Empirical Study of Jev

Metric and Kernel Learning using a Linear Transformation

Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation

Semantic Product Search

User-oriented Fairness in Recommendation

Composite Correlation Quantization for Efficient Multimodal Retrieval

Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning

b-Bit Minwise Hashing

Topic Modeling Based Multi-modal Depression Detection

The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models

CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space

Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation

Exploiting Cross-Session Information for Session-based Recommendation with Graph Neural Networks

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Anticipate and Learn: Unleashing Idle-Time Compute in Proactive Agents

LEGO: Synergizing Expert GraphRAG and Expert Chain-of-Thought for Legal Reasoning

Reveal Hidden Pitfalls and Navigate Next Generation of Vector Similarity Search from Task-Centric Views

DIVER: A Multi-Stage Approach for Reasoning-intensive Information Retrieval

MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims

SimpleX: A Simple and Strong Baseline for Collaborative Filtering

Tracing and Taming Hallucinated Terms via Subsequence-Association Filtering and Breadth-Aware Selection for LLM Query Expansion

SignTrace: Describe a Sign, Find the Word

Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data

Evaluating Deep Learning Approaches for Covid19 Fake News Detection

From Generation to Attribution: Music AI Agent Architectures for the Post-Streaming Era