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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1,861 to 1,920 of 2,751

A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data
Ke Zhang, Marcus Hutter, Huidong Jin
cs.LGcs.IRarXiv:0903.3257v12009
EvLink: Source-Grounded Evidence Linking for Graph RAG
Linyao Zheng, Xuhang Shi, Zhifang Mao +3
cs.IRarXiv:2609.29695v12026
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System
Yunfan Gao, Tao Sheng, Youlin Xiang +3
cs.IRcs.CLcs.LGarXiv:2303.14524v22023
BUbiNG: Massive Crawling for the Masses
Paolo Boldi, Andrea Marino, Massimo Santini +1
cs.IRcs.SIarXiv:1601.06919v12016
EviMap: Evidence-Grounded Hierarchical Topic Maps for Exploring Unlabeled Corpora
Zhiyin Tan, Changxu Duan
cs.IRcs.CLcs.HCarXiv:2609.06664v12026
Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs
Mohammad Tavakoli, Alireza Salemi, Carrie Ye +3
cs.CLcs.AIcs.IRarXiv:2510.27246v22025
Adversarial Sampling and Training for Semi-Supervised Information Retrieval
Dae Hoon Park, Yi Chang
cs.IRcs.LGarXiv:1811.04155v22018
Recommendation Retrievers Need Verifiers: Universal Generative Reranking for Sequential Recommendations
Benyu Zhang, Qiang Zhang, Rui Li +3
cs.IRcs.AIarXiv:2609.12270v12026
On Context-Dependent Clustering of Bandits
Claudio Gentile, Shuai Li, Purushottam Kar +3
cs.LGcs.AIcs.IRarXiv:1608.03544v22016
Beyond Co-purchase Relation: Evolution of Complementary Recommendations at Allegro
Aleksandra Osowska-Kurczab, Klaudia Nazarko, Eliška Kosturová +2
cs.IRcs.AIcs.LGarXiv:2609.05063v12026
Measuring Emotions in the COVID-19 Real World Worry Dataset
Bennett Kleinberg, Isabelle van der Vegt, Maximilian Mozes
cs.CLcs.IRcs.SIarXiv:2004.04225v22020
OpenTag: Open Attribute Value Extraction from Product Profiles [Deep Learning, Active Learning, Named Entity Recognition]
Guineng Zheng, Subhabrata Mukherjee, Xin Luna Dong +1
cs.CLcs.AIcs.IRarXiv:1806.01264v22018
How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization?
Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh
cs.CLcs.IRcs.LGarXiv:2306.01248v22023
iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making
Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum
cs.LGcs.IRstat.MLarXiv:1806.01059v22018
From a Static Multi-Level Small Semantic Codebook to a Dynamic Single-Level Large Semantic Codebook for Generative Recommendation
Tianlu Xie, Xin Ku, Mingjie Sun +8
cs.IRcs.LGarXiv:2608.21012v12026
Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP
Omar Khattab, Keshav Santhanam, Xiang Lisa Li +4
cs.CLcs.IRarXiv:2212.14024v22022
SemEval-2016 Task 4: Sentiment Analysis in Twitter
Preslav Nakov, Alan Ritter, Sara Rosenthal +2
cs.CLcs.IRarXiv:1912.01973v12019
E2Rank: Unifying Text Embedding and Listwise Reranking for Effective and Efficient Search
Qi Liu, Yanzhao Zhang, Mingxin Li +3
cs.CLcs.AIcs.IRarXiv:2510.22733v32025
Hybrid-Vector Retrieval for Visually Rich Documents: Combining Single-Vector Efficiency and Multi-Vector Accuracy
Juyeon Kim, Geon Lee, Dongwon Choi +2
cs.IRcs.CVarXiv:2510.22215v22025
The WebKurator.de Platform: Combined Regional and Topical Web Curation
Michael Dinzinger, Natanael Arndt, Ben Böck +2
cs.IRarXiv:2609.03971v12026
Synthesizer: Rethinking Self-Attention in Transformer Models
Yi Tay, Dara Bahri, Donald Metzler +3
cs.CLcs.IRcs.LGarXiv:2005.00743v32020
Not Worth Another Token: Marginal Value Estimation for Efficient Deep Research Agents
Harshitha Kolukuluru, Reshma Ashok, Kirat Arora +7
cs.AIcs.IRcs.MAarXiv:2608.08389v12026
Chaos in the Text: Revealing the Modality Preference in Mixed-Modality Retrievers
Yubo Sun, Chunyi Peng, Yukun Yan +6
cs.IRarXiv:2610.11816v12026
OneLA: Scaling Linear-Attention Decoding to Large Beams in Generative Recommendation
Xiangrui Yang, Cheng Peng, Yunfeng Zhao +9
cs.AIcs.DCcs.IRarXiv:2609.12399v12026
Col-Bandit: Query-Time Top-$K$ Estimation for Late-Interaction Retrieval
Roi Pony, Adi Raz Goldfarb, Oshri Naparstek +3
cs.IRarXiv:2602.02827v22026
NextQuill: Causal Preference Modeling for Enhancing LLM Personalization
Xiaoyan Zhao, Juntao You, Yang Zhang +5
cs.IRarXiv:2506.02368v32025
Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research
Soujanya Poria, Devamanyu Hazarika, Navonil Majumder +1
cs.CLcs.IRarXiv:2005.00357v52020
VERDICT: Agreement Beats Pixel-Space Verification in Real-Document OCSR
Yani Guan, Dengpan Dong, Shuang Luo +6
cs.CVcs.IRcs.LGarXiv:2608.22183v12026
The Massive Legal Embedding Benchmark (MLEB)
Umar Butler, Abdur-Rahman Butler, Adrian Lucas Malec
cs.CLcs.AIcs.IRarXiv:2510.19365v12025
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer
Ziwei Fan, Zhiwei Liu, Jiawei Zhang +3
cs.IRcs.AIcs.LGarXiv:2108.06625v22021
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society
Firoj Alam, Shaden Shaar, Fahim Dalvi +14
cs.CLcs.CYcs.IRarXiv:2005.00033v52020
Where Does Retrieval-Based Open-Ended Evaluation Fail? Automatic Taxonomy Induction from Long-Form Medical Answer Factuality Verification
Heyuan Huang, Jirui Dai, Alexandra DeLucia +5
cs.CLcs.IRarXiv:2609.30467v12026
Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies
Yubao Tang, Ruqing Zhang, Jiafeng Guo +5
cs.IRarXiv:2305.15115v12023
VIP5: Towards Multimodal Foundation Models for Recommendation
Shijie Geng, Juntao Tan, Shuchang Liu +2
cs.IRcs.AIcs.HCarXiv:2305.14302v22023
ExperienceIndex: Artifact-Grounded Memory
Peter Baile Chen, Geoffrey X. Yu, Xinming Liu +5
cs.CLcs.AIcs.IRarXiv:2610.10091v12026
Research Commentary on Recommendations with Side Information: A Survey and Research Directions
Zhu Sun, Qing Guo, Jie Yang +4
cs.IRarXiv:1909.12807v22019
Learning to Tokenize for Generative Retrieval
Weiwei Sun, Lingyong Yan, Zheng Chen +7
cs.IRarXiv:2304.04171v12023
Overview of the NTCIR-19 Automatic Evaluation of LLMs 2 (AEOLLM-2) Task
Junjie Chen, Yuxi Dong, Haitao Li +2
cs.IRarXiv:2610.11598v12026
Transformer Memory as a Differentiable Search Index
Yi Tay, Vinh Q. Tran, Mostafa Dehghani +10
cs.CLcs.AIcs.IRarXiv:2202.06991v32022
Do All Nodes Benefit Equally from Knowledge Graphs? Adaptive Node-Aware KG Fusion for Recommendation
Jaehyun Park, Minseo Jeon, Daewon Gwak +3
cs.IRarXiv:2609.05909v12026
SkillContrast: Difference-Guided Text Selection for Agent Skill Reranking
Jiandong Ding, Honglei Ji, Ming Liu +1
cs.IRcs.AIarXiv:2610.11650v12026
SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation
Le Wu, Peijie Sun, Richang Hong +3
cs.IRcs.LGcs.SIarXiv:1811.02815v22018
Overview of BioASQ 2026: The fourteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara +18
cs.CLcs.AIcs.IRarXiv:2609.39975v12026
Contrastive Self-supervised Learning in Recommender Systems: A Survey
Mengyuan Jing, Yanmin Zhu, Tianzi Zang +1
cs.IRarXiv:2303.09902v22023
AtomCite: Verification and Correction of Supplied Page-Level Citations in Multi-Page Documents
Chen Qian, Yimeng Wang, Yu Chen +2
cs.CLcs.AIcs.IRarXiv:2609.05802v12026
Hamiltonian Spectral-Temporal Dissipative Dynamics for Sequential Recommendation
Shuiying Liao, P. Y. Mok
cs.IRarXiv:2608.25755v12026
DeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search
Kartik Narayan, Yang Xu, Tian Cao +7
cs.CVcs.IRarXiv:2510.12801v12025
Training with Missed Targets in Generative Recommendation: Separating Supervision from Probability Competition
Xuesi Wang, Yangbin Shi, Xiaolin Zheng
cs.IRcs.LGarXiv:2610.10124v12026
Disentangled Graph Collaborative Filtering
Xiang Wang, Hongye Jin, An Zhang +3
cs.IRcs.LGarXiv:2007.01764v12020
Memory is Reconstructed, Not Retrieved: Graph Memory for LLM Agents
Shuo Ji, Yibo Li, Bryan Hooi
cs.AIcs.IRarXiv:2606.06036v12026
Bundle Recommendation with Graph Convolutional Networks
Jianxin Chang, Chen Gao, Xiangnan He +2
cs.IRcs.LGarXiv:2005.03475v12020
When the Label Ignores the Request: Auditing Policy-Selected Targets in Synthetic Conversational Music Recommendation
Sanjeev Suresh
cs.IRarXiv:2609.39696v12026
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

Information Retrieval

A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data

EvLink: Source-Grounded Evidence Linking for Graph RAG

Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System

BUbiNG: Massive Crawling for the Masses

EviMap: Evidence-Grounded Hierarchical Topic Maps for Exploring Unlabeled Corpora

Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs

Adversarial Sampling and Training for Semi-Supervised Information Retrieval

Recommendation Retrievers Need Verifiers: Universal Generative Reranking for Sequential Recommendations

On Context-Dependent Clustering of Bandits

Beyond Co-purchase Relation: Evolution of Complementary Recommendations at Allegro

Measuring Emotions in the COVID-19 Real World Worry Dataset

OpenTag: Open Attribute Value Extraction from Product Profiles [Deep Learning, Active Learning, Named Entity Recognition]

How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization?

iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making

From a Static Multi-Level Small Semantic Codebook to a Dynamic Single-Level Large Semantic Codebook for Generative Recommendation

Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP

SemEval-2016 Task 4: Sentiment Analysis in Twitter

E2Rank: Unifying Text Embedding and Listwise Reranking for Effective and Efficient Search

Hybrid-Vector Retrieval for Visually Rich Documents: Combining Single-Vector Efficiency and Multi-Vector Accuracy

The WebKurator.de Platform: Combined Regional and Topical Web Curation

Synthesizer: Rethinking Self-Attention in Transformer Models

Not Worth Another Token: Marginal Value Estimation for Efficient Deep Research Agents

Chaos in the Text: Revealing the Modality Preference in Mixed-Modality Retrievers

OneLA: Scaling Linear-Attention Decoding to Large Beams in Generative Recommendation

Col-Bandit: Query-Time Top-$K$ Estimation for Late-Interaction Retrieval

NextQuill: Causal Preference Modeling for Enhancing LLM Personalization

Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research

VERDICT: Agreement Beats Pixel-Space Verification in Real-Document OCSR

The Massive Legal Embedding Benchmark (MLEB)

Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer

Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society

Where Does Retrieval-Based Open-Ended Evaluation Fail? Automatic Taxonomy Induction from Long-Form Medical Answer Factuality Verification

Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies

VIP5: Towards Multimodal Foundation Models for Recommendation

ExperienceIndex: Artifact-Grounded Memory

Research Commentary on Recommendations with Side Information: A Survey and Research Directions

Learning to Tokenize for Generative Retrieval

Overview of the NTCIR-19 Automatic Evaluation of LLMs 2 (AEOLLM-2) Task

Transformer Memory as a Differentiable Search Index

Do All Nodes Benefit Equally from Knowledge Graphs? Adaptive Node-Aware KG Fusion for Recommendation

SkillContrast: Difference-Guided Text Selection for Agent Skill Reranking

SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation

Overview of BioASQ 2026: The fourteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering

Contrastive Self-supervised Learning in Recommender Systems: A Survey

AtomCite: Verification and Correction of Supplied Page-Level Citations in Multi-Page Documents

Hamiltonian Spectral-Temporal Dissipative Dynamics for Sequential Recommendation

DeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search

Training with Missed Targets in Generative Recommendation: Separating Supervision from Probability Competition

Disentangled Graph Collaborative Filtering

Memory is Reconstructed, Not Retrieved: Graph Memory for LLM Agents

Bundle Recommendation with Graph Convolutional Networks

When the Label Ignores the Request: Auditing Policy-Selected Targets in Synthetic Conversational Music Recommendation

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