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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1,501 to 1,560 of 1,626

Same Question, Different Source, Different Answer: Auditing Source-Dependence in Medical Multi-Source RAG
Yubo Li, Rema Padman, Ramayya Krishnan
cs.CLcs.AIcs.IRarXiv:2605.29084v12026
Latent Dirichlet Allocation (LDA) and Topic modeling: models, applications, a survey
Hamed Jelodar, Yongli Wang, Chi Yuan +4
cs.IRarXiv:1711.04305v22017
Self-supervised Graph Learning for Recommendation
Jiancan Wu, Xiang Wang, Fuli Feng +4
cs.IRcs.LGarXiv:2010.10783v42020
OmniRetrieval: Unified Retrieval across Heterogeneous Knowledge Sources
Jinheon Baek, Soyeong Jeong, Sangwoo Park +5
cs.CLcs.AIcs.IRarXiv:2605.29250v12026
CoHyDE: Iterative Co-Training of LLM Rewriter & Dense Encoder for Tool Retrieval
Vaishali Senthil, Ashutosh Hathidara, Sebastian Schreiber
cs.AIcs.IRcs.LGarXiv:2605.29271v12026
Multimodal Music Recommendation System using LLMs
Srikar Prabhas Kandagatla, Sreehitha R. Narayana, Chandana Magapu +6
cs.IRcs.AIcs.LGarXiv:2606.00125v12026
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu, Fei Sun, Wentao Zhang +2
cs.IRcs.LGarXiv:2011.02260v42020
Session-based Recommendation with Graph Neural Networks
Shu Wu, Yuyuan Tang, Yanqiao Zhu +3
cs.IRcs.LGstat.MLarXiv:1811.00855v42018
Deep Learning for Sentiment Analysis : A Survey
Lei Zhang, Shuai Wang, Bing Liu
cs.CLcs.IRcs.LGarXiv:1801.07883v22018
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Nandan Thakur, Nils Reimers, Andreas Rücklé +2
cs.IRcs.AIcs.CLarXiv:2104.08663v42021
From Local to Global: A Graph RAG Approach to Query-Focused Summarization
Darren Edge, Ha Trinh, Newman Cheng +7
cs.CLcs.AIcs.IRarXiv:2404.16130v22024
Critic-R: Improving Agentic Search using Instruction-tuned Retrievers with Natural Language Introspective Feedback
Md Zarif Ul Alam, Alireza Salemi, Hamed Zamani
cs.IRcs.AIarXiv:2606.00590v12026
Community detection in networks: A user guide
Santo Fortunato, Darko Hric
physics.soc-phcs.IRcs.SIarXiv:1608.00163v22016
Statistically Reliable LLM-Based Ranking Evaluation via Prediction-Powered Inference
Abhishek Divekar
cs.LGcs.AIcs.CLarXiv:2606.05308v12026
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
Xiujun Li, Xi Yin, Chunyuan Li +9
cs.CVcs.CLcs.IRarXiv:2004.06165v52020
KGAT: Knowledge Graph Attention Network for Recommendation
Xiang Wang, Xiangnan He, Yixin Cao +2
cs.LGcs.IRstat.MLarXiv:1905.07854v22019
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
Jiaxi Tang, Ke Wang
cs.IRcs.LGarXiv:1809.07426v12018
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
Omar Khattab, Matei Zaharia
cs.IRcs.CLarXiv:2004.12832v22020
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering
Ruining He, Julian McAuley
cs.AIcs.IRarXiv:1602.01585v12016
PaperFlow: Profiling, Recommending, and Adapting Across Daily Paper Streams
Fuqiang Wang, Song Tan, Zheng Guo +8
cs.IRcs.AIarXiv:2606.07454v12026
Your UnEmbedding Matrix is Secretly a Feature Lens for Text Embeddings
Songhao Wu, Zhongxin Chen, Yuxuan Liu +3
cs.CLcs.IRarXiv:2606.07502v12026
EmpiriGraph-Psy: A Dataset and LLM Pipeline for Extracting Empirical Relation Graphs from Psychology Abstracts
Danqin Zhao, Yicun Liu, Xingwei Tan +1
cs.IRarXiv:2606.08362v22026
$τ$-Rec: A Verifiable Benchmark for Agentic Recommender Systems
Bharath Sivaram Narasimhan, Karthik R Narasimhan
cs.IRcs.AIcs.CLarXiv:2606.10156v32026
Image-based Recommendations on Styles and Substitutes
Julian McAuley, Christopher Targett, Qinfeng Shi +1
cs.CVcs.IRarXiv:1506.04757v12015
Session-based Recommendations with Recurrent Neural Networks
Balázs Hidasi, Alexandros Karatzoglou, Linas Baltrunas +1
cs.LGcs.IRcs.NEarXiv:1511.06939v42015
Domain-Specific Text Embedding Models for Entity Resolution
Khajesh Sapram, Srivardhani Raju, Kishore Konda
cs.IRcs.AIcs.LGarXiv:2608.16161v12026
Finetuning Strategies for Querying Sounds by Vocal Imitation
Aditya Bhattacharjee, Christos Plachouras, Sungkyun Chang +1
cs.SDcs.AIcs.IRarXiv:2608.19174v12026
SIDScope: A Diagnostic Resource for Semantic-ID Interfaces in Generative Recommendation
Jiandong Ding, Huijie Qin, Tiandeng Wu +1
cs.IRcs.AIarXiv:2608.18779v12026
Summaries:한국어
The Recall Trap: A Recall-Maximizing Retriever Configuration Reduces Issue Resolution in Fixed-Budget Code Context
Alexander Adkins, Teimuraz Trapaidze
cs.SEcs.CLcs.IRarXiv:2608.14838v12026
Douyin Multimodal Embedding Model Technical Report
Haonan Chen, Chu Li, Zhicheng Wang +4
cs.IRcs.CLcs.CVarXiv:2608.02148v12026
Towards Retrieving Interaction Spaces for Agentic Search
Shengyao Zhuang, Yuansheng Ni, Hengxin Fun +2
cs.IRarXiv:2606.06880v12026
Summaries:한국어
Rethinking Agentic Search with Pi-Serini: Is Lexical Retrieval Sufficient?
Tz-Huan Hsu, Jheng-Hong Yang, Jimmy Lin
cs.IRcs.AIcs.CLarXiv:2605.10848v12026
InterLV-Search: Benchmarking Interleaved Multimodal Agentic Search
Bohan Hou, Jiuning Gu, Jiayan Guo +5
cs.CVcs.CLcs.IRarXiv:2605.07510v12026
Summaries:한국어
Prompt-Level Distillation: A Non-Parametric Alternative to Model Fine-Tuning for Efficient Reasoning
Sanket Badhe, Deep Shah
cs.CLcs.IRarXiv:2602.21103v22026
Diffusion-Pretrained Dense and Contextual Embeddings
Sedigheh Eslami, Maksim Gaiduk, Markus Krimmel +3
cs.LGcs.CLcs.IRarXiv:2602.11151v22026
Summaries:한국어
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
Huifeng Guo, Ruiming Tang, Yunming Ye +2
cs.IRcs.CLarXiv:1703.04247v12017
CARA: Cognitive Adaptive Recommendation Agent
Weijun Gao, Jinyang Dong, Chuanru Ren +1
cs.IRcs.AIarXiv:2608.16919v12026
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Fei Sun, Jun Liu, Jian Wu +4
cs.IRcs.LGarXiv:1904.06690v22019
Summaries:한국어
A Contextual-Bandit Approach to Personalized News Article Recommendation
Lihong Li, Wei Chu, John Langford +1
cs.LGcs.AIcs.IRarXiv:1003.0146v22010
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
Payal Bajaj, Daniel Campos, Nick Craswell +12
cs.CLcs.IRarXiv:1611.09268v32016
Dense Expands, Sparse Anchors: Channel-Asymmetric Query Expansion for Hybrid Retrieval
Chunran Zhang
cs.IRcs.CLarXiv:2608.15851v12026
GreekBarRetrieval: A Benchmark for Greek Statutory Retrieval
Ernest Beta, Odysseas S. Chlapanis, Dimitrios Galanis +1
cs.IRcs.CLarXiv:2608.18752v12026
More Context, Same Budget: Dual-Bounded Relational Recall Beyond Top-K Retrieval
Thomson D. Nguy
cs.IRcs.CLarXiv:2608.18448v12026
Self-Attentive Sequential Recommendation
Wang-Cheng Kang, Julian McAuley
cs.IRcs.LGarXiv:1808.09781v12018
Neural Graph Collaborative Filtering
Xiang Wang, Xiangnan He, Meng Wang +2
cs.IRcs.LGcs.SIarXiv:1905.08108v22019
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying, Ruining He, Kaifeng Chen +3
cs.IRcs.LGstat.MLarXiv:1806.01973v12018
Wide & Deep Learning for Recommender Systems
Heng-Tze Cheng, Levent Koc, Jeremiah Harmsen +13
cs.LGcs.IRstat.MLarXiv:1606.07792v12016
rEDMRec: Distilling Large Language Model Reasoning into an Editable Experience Memory for Recommendation
Minh Hoang Nguyen, Tung Le, Huy Tien Nguyen
cs.IRcs.AIcs.CLarXiv:2608.18952v12026
Composed Historical Image Retrieval by Modeling Temporal Representations
Adrià Molina Rodríguez, Oriol Ramos Terrades, Josep Lladós Canet
cs.CVcs.AIcs.IRarXiv:2608.18694v12026
Flash-GMM: A Memory-Efficient Kernel for Scalable Soft Clustering
Gal Bloch, Ariel Gera, Matan Orbach +2
cs.LGcs.DBcs.IRarXiv:2606.10896v12026
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Peter Clark, Isaac Cowhey, Oren Etzioni +4
cs.AIcs.CLcs.IRarXiv:1803.05457v12018
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Xiangnan He, Kuan Deng, Xiang Wang +3
cs.IRcs.LGarXiv:2002.02126v42020
Billion-scale similarity search with GPUs
Jeff Johnson, Matthijs Douze, Hervé Jégou
cs.CVcs.DBcs.DSarXiv:1702.08734v12017
BPR: Bayesian Personalized Ranking from Implicit Feedback
Steffen Rendle, Christoph Freudenthaler, Zeno Gantner +1
cs.IRcs.LGstat.MLarXiv:1205.2618v12012
Neural Collaborative Filtering
Xiangnan He, Lizi Liao, Hanwang Zhang +3
cs.IRarXiv:1708.05031v22017
FinRCA-Bench: Benchmarking Evidence Retrieval and Reasoning for Financial AI Systems
Pratik Ghawate
cs.AIcs.IRarXiv:2608.18534v12026
Evaluating Structured Information Extraction with Open Models in a High Risk Public Sector Application
Elias Schubert, Felix Bießmann
cs.AIcs.CRcs.IRarXiv:2608.18289v12026
MITRE-SAGE: A Multi-Agent Cybersecurity Question-Answering Model
Ali Habibzadeh, Farid Feyzi, Reza Ebrahimi Atani
cs.IRcs.CRcs.LGarXiv:2608.16921v22026
Community detection in graphs
Santo Fortunato
physics.soc-phcond-mat.stat-mechcs.IRarXiv:0906.0612v22009
Intent-Driven Dynamic Chunking: Segmenting Documents to Reflect Predicted Information Needs
Christos Koutsiaris
cs.IRcs.AIcs.CLarXiv:2602.14784v12026

Information Retrieval

Same Question, Different Source, Different Answer: Auditing Source-Dependence in Medical Multi-Source RAG

Latent Dirichlet Allocation (LDA) and Topic modeling: models, applications, a survey

Self-supervised Graph Learning for Recommendation

OmniRetrieval: Unified Retrieval across Heterogeneous Knowledge Sources

CoHyDE: Iterative Co-Training of LLM Rewriter & Dense Encoder for Tool Retrieval

Multimodal Music Recommendation System using LLMs

Graph Neural Networks in Recommender Systems: A Survey

Session-based Recommendation with Graph Neural Networks

Deep Learning for Sentiment Analysis : A Survey

BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Critic-R: Improving Agentic Search using Instruction-tuned Retrievers with Natural Language Introspective Feedback

Community detection in networks: A user guide

Statistically Reliable LLM-Based Ranking Evaluation via Prediction-Powered Inference

Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks

KGAT: Knowledge Graph Attention Network for Recommendation

Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT

Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering

PaperFlow: Profiling, Recommending, and Adapting Across Daily Paper Streams

Your UnEmbedding Matrix is Secretly a Feature Lens for Text Embeddings

EmpiriGraph-Psy: A Dataset and LLM Pipeline for Extracting Empirical Relation Graphs from Psychology Abstracts

$τ$-Rec: A Verifiable Benchmark for Agentic Recommender Systems

Image-based Recommendations on Styles and Substitutes

Session-based Recommendations with Recurrent Neural Networks

Domain-Specific Text Embedding Models for Entity Resolution

Finetuning Strategies for Querying Sounds by Vocal Imitation

SIDScope: A Diagnostic Resource for Semantic-ID Interfaces in Generative Recommendation

The Recall Trap: A Recall-Maximizing Retriever Configuration Reduces Issue Resolution in Fixed-Budget Code Context

Douyin Multimodal Embedding Model Technical Report

Towards Retrieving Interaction Spaces for Agentic Search

Rethinking Agentic Search with Pi-Serini: Is Lexical Retrieval Sufficient?

InterLV-Search: Benchmarking Interleaved Multimodal Agentic Search

Prompt-Level Distillation: A Non-Parametric Alternative to Model Fine-Tuning for Efficient Reasoning

Diffusion-Pretrained Dense and Contextual Embeddings

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

CARA: Cognitive Adaptive Recommendation Agent

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

A Contextual-Bandit Approach to Personalized News Article Recommendation

MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Dense Expands, Sparse Anchors: Channel-Asymmetric Query Expansion for Hybrid Retrieval

GreekBarRetrieval: A Benchmark for Greek Statutory Retrieval

More Context, Same Budget: Dual-Bounded Relational Recall Beyond Top-K Retrieval

Self-Attentive Sequential Recommendation

Neural Graph Collaborative Filtering

Graph Convolutional Neural Networks for Web-Scale Recommender Systems

Wide & Deep Learning for Recommender Systems

rEDMRec: Distilling Large Language Model Reasoning into an Editable Experience Memory for Recommendation

Composed Historical Image Retrieval by Modeling Temporal Representations

Flash-GMM: A Memory-Efficient Kernel for Scalable Soft Clustering

Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Billion-scale similarity search with GPUs

BPR: Bayesian Personalized Ranking from Implicit Feedback

Neural Collaborative Filtering

FinRCA-Bench: Benchmarking Evidence Retrieval and Reasoning for Financial AI Systems

Evaluating Structured Information Extraction with Open Models in a High Risk Public Sector Application

MITRE-SAGE: A Multi-Agent Cybersecurity Question-Answering Model

Community detection in graphs

Intent-Driven Dynamic Chunking: Segmenting Documents to Reflect Predicted Information Needs