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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2,221 to 2,280 of 2,732

MUSES: A Benchmark for Prospective Intellectual-Roots Retrieval
Rohan Pandey, Sunjae Kwon, Hong Yu
cs.IRarXiv:2609.00313v12026
MTEB: Massive Text Embedding Benchmark
Niklas Muennighoff, Nouamane Tazi, Loïc Magne +1
cs.CLcs.IRcs.LGarXiv:2210.07316v32022
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer
Zhiwei Liu, Ziwei Fan, Yu Wang +1
cs.IRcs.AIarXiv:2105.00522v12021
Measuring GEO Visibility: Prompt Corpora Define the Answer Market
Olivier Martinez
cs.IRcs.CLarXiv:2609.06811v12026
Who Anchors AI Overviews in Health? Baidu, Google, and the Geography of Authority
Mingyue Zha, Ho-Chun Herbert Chang
cs.IRcs.CYarXiv:2609.06798v12026
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction
Bin Liu, Ruiming Tang, Yingzhi Chen +3
cs.IRcs.LGarXiv:1904.04447v12019
How algorithmic popularity bias hinders or promotes quality
Azadeh Nematzadeh, Giovanni Luca Ciampaglia, Filippo Menczer +1
cs.CYcs.IRcs.SIarXiv:1707.00574v22017
High-Dimensional Approximate Nearest Neighbor Search: with Reliable and Efficient Distance Comparison Operations
Jianyang Gao, Cheng Long
cs.DScs.DBcs.IRarXiv:2303.09855v12023
Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences
Marcel Trotzek, Sven Koitka, Christoph M. Friedrich
cs.CLcs.IRarXiv:1804.07000v32018
OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAG
Fengran Mo, Zhan Su, Yuchen Hui +6
cs.CLcs.AIcs.IRarXiv:2601.09028v22026
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention
Yehjin Shin, Jeongwhan Choi, Hyowon Wi +1
cs.LGcs.AIcs.IRarXiv:2312.10325v22023
Disentangling Paradigm, Identifier, and Decoding in Generative Retrieval
Hicham Randrianarivo, Logan Renaud, Alexia Allal
cs.IRcs.CLarXiv:2610.08716v12026
Learning to Match Using Local and Distributed Representations of Text for Web Search
Bhaskar Mitra, Fernando Diaz, Nick Craswell
cs.IRarXiv:1610.08136v12016
Cross-domain recommendation via user interest alignment
Chuang Zhao, Hongke Zhao, Ming He +2
cs.IRcs.AIarXiv:2301.11467v12023
misi: a Metric Inverted Sample Index
Edgar Chavez
cs.IRarXiv:2608.27422v12026
VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents
Ryota Tanaka, Taichi Iki, Taku Hasegawa +3
cs.CLcs.AIcs.CVarXiv:2504.09795v12025
LitLLM: A Toolkit for Scientific Literature Review
Shubham Agarwal, Gaurav Sahu, Abhay Puri +5
cs.CLcs.AIcs.IRarXiv:2402.01788v22024
HypRQ-VAE: Hyperbolic Item Indexing for Long-Tail-Aware Generative Recommender Systems
Longfeng Wu, Tong Zeng, Giovanni Seni +8
cs.IRarXiv:2609.03369v12026
JoinGR: Learning to Traverse Join Graphs for Table Retrieval
Sandipan De, Abhijit Chakraborty, Sambaran Bandyopadhyay +1
cs.CLcs.AIcs.DBarXiv:2610.01064v12026
Document-level Relation Extraction as Semantic Segmentation
Ningyu Zhang, Xiang Chen, Xin Xie +6
cs.CLcs.AIcs.CVarXiv:2106.03618v22021
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
Lei Chen, Le Wu, Richang Hong +2
cs.IRcs.LGstat.MLarXiv:2001.10167v12020
Beyond Modality Harmony: Orthogonal Purification and Topology-Guided MoE for Conflict-Aware Multimodal Recommendation
Jialin Liu, Zhaorui Zhang, Ray C. C. Cheung
cs.IRcs.AIarXiv:2609.02152v12026
A Systematic Literature Review of Retrieval-Augmented Generation: Techniques, Metrics, and Challenges
Andrew Brown, Muhammad Roman, Barry Devereux
cs.DLcs.AIcs.CLarXiv:2508.06401v32025
Adapting Generative Recommenders for Multi-Turn Interaction
Yu-Chen Den, Zhi Rui Tam, Yung-Yu Shih +4
cs.IRarXiv:2610.08136v12026
Relation Extraction : A Survey
Sachin Pawar, Girish K. Palshikar, Pushpak Bhattacharyya
cs.CLcs.AIcs.IRarXiv:1712.05191v12017
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

Information Retrieval

MUSES: A Benchmark for Prospective Intellectual-Roots Retrieval

MTEB: Massive Text Embedding Benchmark

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

Measuring GEO Visibility: Prompt Corpora Define the Answer Market

Who Anchors AI Overviews in Health? Baidu, Google, and the Geography of Authority

Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction

How algorithmic popularity bias hinders or promotes quality

High-Dimensional Approximate Nearest Neighbor Search: with Reliable and Efficient Distance Comparison Operations

Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences

OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAG

An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention

Disentangling Paradigm, Identifier, and Decoding in Generative Retrieval

Learning to Match Using Local and Distributed Representations of Text for Web Search

Cross-domain recommendation via user interest alignment

misi: a Metric Inverted Sample Index

VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents

LitLLM: A Toolkit for Scientific Literature Review

HypRQ-VAE: Hyperbolic Item Indexing for Long-Tail-Aware Generative Recommender Systems

JoinGR: Learning to Traverse Join Graphs for Table Retrieval

Document-level Relation Extraction as Semantic Segmentation

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach

Beyond Modality Harmony: Orthogonal Purification and Topology-Guided MoE for Conflict-Aware Multimodal Recommendation

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

Adapting Generative Recommenders for Multi-Turn Interaction

Relation Extraction : A Survey

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