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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1,681 to 1,740 of 2,750

ML-Net: multi-label classification of biomedical texts with deep neural networks
Jingcheng Du, Qingyu Chen, Yifan Peng +3
cs.IRcs.CLcs.LGarXiv:1811.05475v22018
Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation
Ruohan Zhan, Changhua Pei, Qiang Su +5
cs.IRarXiv:2206.06003v12022
Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
Jiaqi Zhai, Lucy Liao, Xing Liu +9
cs.LGcs.IRarXiv:2402.17152v32024
ChartWalker: Benchmarking the Cross-Chart RAG Task with Hierarchical Knowledge Graphs
Ning Tang, Chenghan Xie, Hanyang Yuan +6
cs.IRarXiv:2606.23997v12026
Controlling Fairness and Bias in Dynamic Learning-to-Rank
Marco Morik, Ashudeep Singh, Jessica Hong +1
cs.IRcs.CYstat.MLarXiv:2005.14713v12020
From Zero-Shot Learning to Cold-Start Recommendation
Jingjing Li, Mengmeng Jing, Ke Lu +3
cs.CVcs.IRarXiv:1906.08511v22019
BERT-based Ranking for Biomedical Entity Normalization
Zongcheng Ji, Qiang Wei, Hua Xu
cs.IRcs.CLcs.LGarXiv:1908.03548v12019
TalkPlay-Tools: Conversational Music Recommendation with LLM Tool Calling
Seungheon Doh, Keunwoo Choi, Juhan Nam
cs.IRcs.MMcs.SDarXiv:2510.01698v42025
Explainable Reasoning over Knowledge Graphs for Recommendation
Xiang Wang, Dingxian Wang, Canran Xu +3
cs.IRarXiv:1811.04540v12018
Collaborative Deep Learning for Recommender Systems
Hao Wang, Naiyan Wang, Dit-Yan Yeung
cs.LGcs.CLcs.IRarXiv:1409.2944v22014
Knowledge-aware Coupled Graph Neural Network for Social Recommendation
Chao Huang, Huance Xu, Yong Xu +7
cs.IRcs.AIarXiv:2110.03987v12021
RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit
Jiongnan Liu, Jiajie Jin, Zihan Wang +3
cs.IRarXiv:2306.05212v12023
C3M: Cross-Session Multimodal Memory Maintenance for Long-Horizon Tasks
Xueshu Chen, Yan Wang, Zihao Xue +5
cs.AIcs.CLcs.CVarXiv:2609.29735v12026
HDLTex: Hierarchical Deep Learning for Text Classification
Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa +3
cs.LGcs.AIcs.CLarXiv:1709.08267v22017
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction
Kelong Mao, Jieming Zhu, Liangcai Su +3
cs.IRarXiv:2304.00902v42023
PaperFlow: Profiling, Recommending, and Adapting Across Daily Paper Streams
Fuqiang Wang, Song Tan, Zheng Guo +8
cs.IRcs.AIarXiv:2606.07454v12026
Personalized Search
Fredrik Nygård Carlsen
cs.IRcs.DLarXiv:1509.02207v12015
InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval
Vitor Jeronymo, Luiz Bonifacio, Hugo Abonizio +4
cs.IRcs.AIarXiv:2301.01820v42023
PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations
Ruining He, Lukasz Heldt, Lichan Hong +20
cs.IRcs.LGarXiv:2510.07784v12025
Web Price Extraction: State of the Art and an Adaptive Browserless Implementation
Evgeniia Kositsyna, Jorge Lloret-Gazo
cs.IRcs.LGcs.NEarXiv:2609.01030v12026
Detection of Novel Social Bots by Ensembles of Specialized Classifiers
Mohsen Sayyadiharikandeh, Onur Varol, Kai-Cheng Yang +2
cs.SIcs.IRcs.LGarXiv:2006.06867v22020
Neural Rating Regression with Abstractive Tips Generation for Recommendation
Piji Li, Zihao Wang, Zhaochun Ren +2
cs.CLcs.AIcs.IRarXiv:1708.00154v12017
WideSeek: Advancing Wide Research via Multi-Agent Scaling
Ziyang Huang, Haolin Ren, Xiaowei Yuan +6
cs.CLcs.AIcs.IRarXiv:2602.02636v12026
SurGE: A Benchmark and Evaluation Framework for Scientific Survey Generation
Weihang Su, Anzhe Xie, Qingyao Ai +5
cs.CLcs.AIcs.IRarXiv:2508.15658v52025
When Memory Takes Gradients: Collaborative Vector Memory for Agentic Recommender Systems
Hanchong Chen, Xing Tang, Lingjie Li +2
cs.IRcs.AIarXiv:2608.26895v12026
Locating the Source of Diffusion in Large-Scale Networks
Pedro C. Pinto, Patrick Thiran, Martin Vetterli
cs.SIcs.IRphysics.soc-pharXiv:1208.2534v12012
Large Language Models for Next Point-of-Interest Recommendation
Peibo Li, Maarten de Rijke, Hao Xue +3
cs.IRcs.AIcs.LGarXiv:2404.17591v22024
REL: An Entity Linker Standing on the Shoulders of Giants
Johannes M. van Hulst, Faegheh Hasibi, Koen Dercksen +2
cs.IRcs.CLarXiv:2006.01969v12020
PAGR: Proof-Carrying Algebraic-Geometric Retrieval: A Quiver-, Provenance-, and Sheaf-Theoretic Framework for Grounded LLM Retrieval
Xingting Wang, Min Wu
math.RTcs.AIcs.IRarXiv:2609.06127v12026
A Survey on Conversational Recommender Systems
Dietmar Jannach, Ahtsham Manzoor, Wanling Cai +1
cs.HCcs.AIcs.IRarXiv:2004.00646v22020
UEmbed: Unified Sparse and Dense Multimodal Embeddings
Tingyu Song, Mingxin Li, Yanzhao Zhang +5
cs.CVcs.AIcs.CLarXiv:2608.02583v12026
On Application of Learning to Rank for E-Commerce Search
Shubhra Kanti Karmaker Santu, Parikshit Sondhi, ChengXiang Zhai
cs.IRcs.LGstat.MLarXiv:1903.04263v12019
SG-UMP: Sequence-Guided Universal Multimodal Prioritization Calculation Framework
Xinyi Zhang, Yutong Li, Peijie Sun
cs.IRarXiv:2608.28503v12026
Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism
Hippolyte Gisserot-Boukhlef, Manuel Faysse, Emmanuel Malherbe +2
cs.IRcs.CLarXiv:2402.12997v52024
Leveraging Low-Level Symbolic Competences for Unsupervised Grounding in Hallucination Detection
Renato Vukovic, Hsien-chin Lin, Carel van Niekerk +5
cs.CLcs.AIcs.IRarXiv:2609.05025v12026
MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation
Manqing Dong, Feng Yuan, Lina Yao +2
cs.IRcs.LGstat.MLarXiv:2007.03183v12020
Contextualizing Hate Speech Classifiers with Post-hoc Explanation
Brendan Kennedy, Xisen Jin, Aida Mostafazadeh Davani +2
cs.CLcs.IRcs.LGarXiv:2005.02439v32020
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang +6
cs.CLcs.IRarXiv:2108.06712v32021
RecEvolve: A Knowledge-Driven Autonomous Agent System for Recommender Systems
Weidi Pan, He Ma, Shuhao Ye +6
cs.IRcs.AIcs.LGarXiv:2609.01622v12026
COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List
Luyu Gao, Zhuyun Dai, Jamie Callan
cs.IRcs.CLarXiv:2104.07186v12021
Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics
Ziwen Xu, Chenyan Wu, Hengyu Sun +9
cs.CLcs.AIcs.CVarXiv:2602.02343v32026
Contrastive Self-supervised Sequential Recommendation with Robust Augmentation
Zhiwei Liu, Yongjun Chen, Jia Li +3
cs.IRcs.AIarXiv:2108.06479v12021
Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing
Diji Yang, Linda Zeng, Jinmeng Rao +1
cs.AIcs.CLcs.IRarXiv:2505.02811v22025
Managing Popularity Bias in Recommender Systems with Personalized Re-ranking
Himan Abdollahpouri, Robin Burke, Bamshad Mobasher
cs.IRarXiv:1901.07555v42019
Skim and Skip: Hierarchical Adaptive Inference for Efficient Multimodal Retrieval
Meng Gao, Yizhen Zhang, Yang Ding +10
cs.IRarXiv:2609.01613v12026
Making Revisions Understandable: A Survey of Edit Intentions, Methods, and Applications
Fangping Lan, Qi Zhang, Eduard Dragut
cs.IRarXiv:2609.01610v12026
FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation
Shuai Wang, Ekaterina Khramtsova, Shengyao Zhuang +1
cs.IRcs.CLarXiv:2402.11891v12024
Billion-scale similarity search with GPUs
Jeff Johnson, Matthijs Douze, Hervé Jégou
cs.CVcs.DBcs.DSarXiv:1702.08734v12017
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection
Zhiwei Liu, Yingtong Dou, Philip S. Yu +2
cs.SIcs.IRcs.LGarXiv:2005.00625v32020
ATANT: An Evaluation Framework for AI Continuity
Samuel Sameer Tanguturi
cs.AIcs.IRarXiv:2604.06710v22026
MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval
Qiao Jin, Won Kim, Qingyu Chen +4
cs.IRcs.AIcs.CLarXiv:2307.00589v22023
OpenNovelty: An LLM-powered Agentic System for Verifiable Scholarly Novelty Assessment
Ming Zhang, Kexin Tan, Yueyuan Huang +20
cs.IRcs.AIcs.CLarXiv:2601.01576v22026
Evaluating Deep-Search Agents under Hierarchical Web Evidence Poisoning
Zhongan Bi, Qiwen Wang, Jianrong Jiang +11
cs.CRcs.AIcs.IRarXiv:2609.06027v22026
Self-supervised Graph Learning for Recommendation
Jiancan Wu, Xiang Wang, Fuli Feng +4
cs.IRcs.LGarXiv:2010.10783v42020
Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems
Bashir Rastegarpanah, Krishna P. Gummadi, Mark Crovella
cs.IRcs.LGstat.MLarXiv:1812.01504v42018
PUMA: Post-Hoc Sparsification of Universal Multimodal Embeddings for Efficient Retrieval
Matteo Attimonelli, Alessandro De Bellis, Franco Maria Nardini +4
cs.IRarXiv:2608.25780v12026
Recovering Temporal and Geographic Signals from Language Model Embeddings
Esteban Feuerstein, Victoria Klimkowski, Juan Manuel Ortiz de Zarate +1
cs.AIcs.IRarXiv:2609.05721v12026
Distillation Enhanced Generative Retrieval
Yongqi Li, Zhen Zhang, Wenjie Wang +3
cs.CLcs.AIcs.IRarXiv:2402.10769v12024
End-to-End User Behavior Retrieval in Click-Through RatePrediction Model
Qiwei Chen, Changhua Pei, Shanshan Lv +3
cs.IRcs.AIarXiv:2108.04468v12021
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions
Chen Gao, Yu Zheng, Nian Li +8
cs.IRarXiv:2109.12843v32021

Information Retrieval

ML-Net: multi-label classification of biomedical texts with deep neural networks

Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation

Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

ChartWalker: Benchmarking the Cross-Chart RAG Task with Hierarchical Knowledge Graphs

Controlling Fairness and Bias in Dynamic Learning-to-Rank

From Zero-Shot Learning to Cold-Start Recommendation

BERT-based Ranking for Biomedical Entity Normalization

TalkPlay-Tools: Conversational Music Recommendation with LLM Tool Calling

Explainable Reasoning over Knowledge Graphs for Recommendation

Collaborative Deep Learning for Recommender Systems

Knowledge-aware Coupled Graph Neural Network for Social Recommendation

RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit

C3M: Cross-Session Multimodal Memory Maintenance for Long-Horizon Tasks

HDLTex: Hierarchical Deep Learning for Text Classification

FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction

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

Personalized Search

InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval

PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations

Web Price Extraction: State of the Art and an Adaptive Browserless Implementation

Detection of Novel Social Bots by Ensembles of Specialized Classifiers

Neural Rating Regression with Abstractive Tips Generation for Recommendation

WideSeek: Advancing Wide Research via Multi-Agent Scaling

SurGE: A Benchmark and Evaluation Framework for Scientific Survey Generation

When Memory Takes Gradients: Collaborative Vector Memory for Agentic Recommender Systems

Locating the Source of Diffusion in Large-Scale Networks

Large Language Models for Next Point-of-Interest Recommendation

REL: An Entity Linker Standing on the Shoulders of Giants

PAGR: Proof-Carrying Algebraic-Geometric Retrieval: A Quiver-, Provenance-, and Sheaf-Theoretic Framework for Grounded LLM Retrieval

A Survey on Conversational Recommender Systems

UEmbed: Unified Sparse and Dense Multimodal Embeddings

On Application of Learning to Rank for E-Commerce Search

SG-UMP: Sequence-Guided Universal Multimodal Prioritization Calculation Framework

Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism

Leveraging Low-Level Symbolic Competences for Unsupervised Grounding in Hallucination Detection

MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation

Contextualizing Hate Speech Classifiers with Post-hoc Explanation

HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation

RecEvolve: A Knowledge-Driven Autonomous Agent System for Recommender Systems

COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List

Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing

Managing Popularity Bias in Recommender Systems with Personalized Re-ranking

Skim and Skip: Hierarchical Adaptive Inference for Efficient Multimodal Retrieval

Making Revisions Understandable: A Survey of Edit Intentions, Methods, and Applications

FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation

Billion-scale similarity search with GPUs

Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection

ATANT: An Evaluation Framework for AI Continuity

MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval

OpenNovelty: An LLM-powered Agentic System for Verifiable Scholarly Novelty Assessment

Evaluating Deep-Search Agents under Hierarchical Web Evidence Poisoning

Self-supervised Graph Learning for Recommendation

Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems

PUMA: Post-Hoc Sparsification of Universal Multimodal Embeddings for Efficient Retrieval

Recovering Temporal and Geographic Signals from Language Model Embeddings

Distillation Enhanced Generative Retrieval

End-to-End User Behavior Retrieval in Click-Through RatePrediction Model

A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions