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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1,141 to 1,200 of 1,626

CorporateBench: Large-Scale Q&A Benchmarking with Temporal Knowledge Bases
Sil Hamilton, Albert Yu Sun, Oscar J. Romero +4
cs.AIcs.CLcs.IRarXiv:2608.27391v12026
PailitaoGR: Latent Think-with-Images for Generative Image Retrieval
Xiaomeng Fan, Yueran Liu, Shengyu Zhou +6
cs.CVcs.AIcs.IRarXiv:2608.26658v12026
Case2Flow: Bridging Patient Cases and Guideline Flowcharts through Multimodal Retrieval
Jiale Wei, Yufan Chen, Alexander Jaus +5
cs.CLcs.IRarXiv:2608.26414v12026
A Reranker for Orchestrating Heterogeneous Speech and Text Retrievers
Inho Kim, Sumyeong Ahn
cs.CLcs.AIcs.IRarXiv:2608.26194v12026
Leveraging Large Language Models for Systematic Literature Review of Disease Spread Models
Orhan Yagizer Cinar, Timur Emre Ozkose, Emma Von Hoene +3
cs.AIcs.DLcs.IRarXiv:2608.26150v12026
Agents Don't Paginate: First-Chunk Selection for LLM Tool Responses
Tatiana Petrova, Andrei Mazniak, Radu State
cs.CLcs.IRarXiv:2608.26130v12026
misi: a Metric Inverted Sample Index
Edgar Chavez
cs.IRarXiv:2608.27422v12026
Scaling Graph Neural Networks for Friend Recommendation: Multi-Hash User Embeddings and Temporal Neighbor Sampling
Maksim Utushkin, Andrei Ovsiannikov, Alexander D'yakonov
cs.IRcs.LGcs.SIarXiv:2608.27413v12026
Stageboost: Recommending Signals Based on Counterfactual Estimation
Darpan Singhal, Matan Mandelbrod, Tal Franji +3
cs.IRcs.AIarXiv:2608.27366v12026
Astar: Learning to Propose Evolution Directions for Self-Evolving Industrial AI Systems
Jinxin Hu, Hao Deng, Haibo Xing +12
cs.IRarXiv:2608.27287v12026
ProRetrieval: Learning to Orchestrate Hybrid Search via Executable Program Synthesis
Chengsong You, Zhen Sun, Yunhai Hu +17
cs.IRarXiv:2608.27017v12026
Transformer Memory as a Differentiable Search Index
Yi Tay, Vinh Q. Tran, Mostafa Dehghani +10
cs.CLcs.AIcs.IRarXiv:2202.06991v32022
LLMRec: Large Language Models with Graph Augmentation for Recommendation
Wei Wei, Xubin Ren, Jiabin Tang +6
cs.IRarXiv:2311.00423v62023
Evaluation of Deep Convolutional Nets for Document Image Classification and Retrieval
Adam W. Harley, Alex Ufkes, Konstantinos G. Derpanis
cs.CVcs.IRcs.LGarXiv:1502.07058v12015
Lazier Than Lazy Greedy
Baharan Mirzasoleiman, Ashwinkumar Badanidiyuru, Amin Karbasi +2
cs.LGcs.DScs.IRarXiv:1409.7938v32014
Beyond a Single Story: Meta-Reviewing Sparse and Incomplete User-generated Contents for Recommendation
Hongren Wang, Tianjun Wei, Yingpeng Du +2
cs.IRarXiv:2608.26728v12026
Preference Flow Matching with Spectral Factorization for Micro-video Recommendation
Xinxin Dong, Haokai Ma, Fei Hu +4
cs.IRarXiv:2608.26579v12026
Conversational Recommendation over Live E-Commerce Catalogues with Self-Refreshing Retrieval
Ante Kapetanovic, Tomislav Duricic, Dionizije Fa +2
cs.IRarXiv:2608.27006v12026
Session-based Social Recommendation via Dynamic Graph Attention Networks
Weiping Song, Zhiping Xiao, Yifan Wang +3
cs.IRarXiv:1902.09362v22019
Topology-Masked Unified Backbone for Joint Feature Interaction and Multi-Domain Sequence Modeling
Zhihao Zhu, Dezheng Han, Jikang Xia +1
cs.IRarXiv:2608.27005v12026
When Memory Takes Gradients: Collaborative Vector Memory for Agentic Recommender Systems
Hanchong Chen, Xing Tang, Lingjie Li +2
cs.IRcs.AIarXiv:2608.26895v12026
BLANC: Discovering Patent White Space via Changes in Normalized Pointwise Mutual Information Between Multi-View Clusters
Shuichi Miyazawa, Kensuke Fujii
cs.IRcs.CLcs.DLarXiv:2608.26685v12026
Federated Meta-Learning with Fast Convergence and Efficient Communication
Fei Chen, Mi Luo, Zhenhua Dong +2
cs.LGcs.IRarXiv:1802.07876v22018
When Does Supervised Fine-Tuning Reduce Instruction Sensitivity?
Jaekeol Choi
cs.IRarXiv:2608.26661v12026
hoBIT: A Profile-Aware Retrieval-Augmented Chatbot for University Academic Advising
Yoonseo Kim, Seongmin Lee, Joongheon Kim +1
cs.IRcs.LGarXiv:2608.26604v12026
UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation
Kelong Mao, Jieming Zhu, Xi Xiao +3
cs.IRarXiv:2110.15114v22021
Assessing the Downstream Utility of Evidence-Aware Retrieval in RAG
Utshab Kumar Ghosh, Debayan Mukhopadhyay, Shubham Chatterjee
cs.IRcs.CLarXiv:2608.26379v12026
Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction
Pi Qi, Xiaoqiang Zhu, Guorui Zhou +5
cs.IRstat.MLarXiv:2006.05639v22020
Translation-based Recommendation
Ruining He, Wang-Cheng Kang, Julian McAuley
cs.IRarXiv:1707.02410v12017
User-level sentiment analysis incorporating social networks
Chenhao Tan, Lillian Lee, Jie Tang +3
cs.CLcs.IRphysics.data-anarXiv:1109.6018v12011
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting
Zhen Qin, Rolf Jagerman, Kai Hui +9
cs.IRcs.CLcs.LGarXiv:2306.17563v22023
Hypergraph Contrastive Collaborative Filtering
Lianghao Xia, Chao Huang, Yong Xu +3
cs.IRcs.AIarXiv:2204.12200v22022
Editing Large Language Models: Problems, Methods, and Opportunities
Yunzhi Yao, Peng Wang, Bozhong Tian +5
cs.CLcs.AIcs.CVarXiv:2305.13172v32023
Towards Deep Conversational Recommendations
Raymond Li, Samira Kahou, Hannes Schulz +3
cs.LGcs.CLcs.IRarXiv:1812.07617v22018
Sequential Recommendation with Graph Neural Networks
Jianxin Chang, Chen Gao, Yu Zheng +5
cs.IRarXiv:2106.14226v22021
HDLTex: Hierarchical Deep Learning for Text Classification
Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa +3
cs.LGcs.AIcs.CLarXiv:1709.08267v22017
A quantum-inspired classical algorithm for recommendation systems
Ewin Tang
cs.IRcs.DScs.LGarXiv:1807.04271v32018
Filter-enhanced MLP is All You Need for Sequential Recommendation
Kun Zhou, Hui Yu, Wayne Xin Zhao +1
cs.IRcs.AIarXiv:2202.13556v12022
DocPC: Document-Level Visual Retrieval via Representative Page Composition
Chengsong You, Junwei Zhou, Nan Du
cs.IRarXiv:2608.25434v12026
MOTIF: Motivation-guided Topology Inference for Cold-start Multimodal Recommendation
Yurui Shi, Yuchen Miao, Ximing Hu +2
cs.IRarXiv:2608.25381v12026
Stability of graph communities across time scales
J. -C. Delvenne, S. N. Yaliraki, M. Barahona
physics.soc-phcs.IRphysics.data-anarXiv:0812.1811v42008
Continuous Time Dynamic Topic Models
Chong Wang, David Blei, David Heckerman
cs.IRcs.LGstat.MLarXiv:1206.3298v22012
Statistically Significant Detection of Linguistic Change
Vivek Kulkarni, Rami Al-Rfou, Bryan Perozzi +1
cs.CLcs.IRcs.LGarXiv:1411.3315v12014
Query Expansion Is More Than Generation: Improving Dense Retrieval through Better Integration
Siyuan Sun, Mihai Surdeanu
cs.IRarXiv:2608.25521v12026
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation
Guangneng Hu, Yu Zhang, Qiang Yang
cs.IRcs.AIcs.LGarXiv:1804.06769v32018
Neural Collaborative Filtering vs. Matrix Factorization Revisited
Steffen Rendle, Walid Krichene, Li Zhang +1
cs.IRcs.LGstat.MLarXiv:2005.09683v22020
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction
Xiang Chen, Ningyu Zhang, Xin Xie +6
cs.CLcs.AIcs.IRarXiv:2104.07650v72021
Deeper Text Understanding for IR with Contextual Neural Language Modeling
Zhuyun Dai, Jamie Callan
cs.IRcs.CLarXiv:1905.09217v12019
Multi-Stage Document Ranking with BERT
Rodrigo Nogueira, Wei Yang, Kyunghyun Cho +1
cs.IRcs.LGarXiv:1910.14424v12019
Conversational Recommender System
Yueming Sun, Yi Zhang
cs.IRarXiv:1806.03277v12018
Learning to Match Using Local and Distributed Representations of Text for Web Search
Bhaskar Mitra, Fernando Diaz, Nick Craswell
cs.IRarXiv:1610.08136v12016
Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS)
Anshumali Shrivastava, Ping Li
stat.MLcs.DScs.IRarXiv:1405.5869v12014
Knowledge Graph Contrastive Learning for Recommendation
Yuhao Yang, Chao Huang, Lianghao Xia +1
cs.IRcs.AIarXiv:2205.00976v22022
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System
Yunfan Gao, Tao Sheng, Youlin Xiang +3
cs.IRcs.CLcs.LGarXiv:2303.14524v22023
Behavior Sequence Transformer for E-commerce Recommendation in Alibaba
Qiwei Chen, Huan Zhao, Wei Li +2
cs.IRcs.LGarXiv:1905.06874v12019
Hamiltonian Spectral-Temporal Dissipative Dynamics for Sequential Recommendation
Shuiying Liao, P. Y. Mok
cs.IRarXiv:2608.25755v12026
SWIM: Step-Wise Integrated Measure for Session-supervised List Evaluation in Generative Re-ranking
Yuanhao Pu, Chenghao Zhang, Chao Feng +6
cs.IRarXiv:2608.25104v12026
TransRetrieval: Scaling Up Transformer-Based Retrieval for Industrial Recommendation
Zhifei Zheng, Yunfei Liu, Bin Liu +7
cs.IRarXiv:2608.25528v12026
Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education
Ramteja Sajja, Yusuf Sermet, Muhammed Cikmaz +2
cs.AIcs.HCcs.IRarXiv:2309.10892v12023
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
Chao Li, Zhiyuan Liu, Mengmeng Wu +7
cs.IRcs.LGstat.MLarXiv:1904.08030v12019

Information Retrieval

CorporateBench: Large-Scale Q&A Benchmarking with Temporal Knowledge Bases

PailitaoGR: Latent Think-with-Images for Generative Image Retrieval

Case2Flow: Bridging Patient Cases and Guideline Flowcharts through Multimodal Retrieval

A Reranker for Orchestrating Heterogeneous Speech and Text Retrievers

Leveraging Large Language Models for Systematic Literature Review of Disease Spread Models

Agents Don't Paginate: First-Chunk Selection for LLM Tool Responses

misi: a Metric Inverted Sample Index

Scaling Graph Neural Networks for Friend Recommendation: Multi-Hash User Embeddings and Temporal Neighbor Sampling

Stageboost: Recommending Signals Based on Counterfactual Estimation

Astar: Learning to Propose Evolution Directions for Self-Evolving Industrial AI Systems

ProRetrieval: Learning to Orchestrate Hybrid Search via Executable Program Synthesis

Transformer Memory as a Differentiable Search Index

LLMRec: Large Language Models with Graph Augmentation for Recommendation

Evaluation of Deep Convolutional Nets for Document Image Classification and Retrieval

Lazier Than Lazy Greedy

Beyond a Single Story: Meta-Reviewing Sparse and Incomplete User-generated Contents for Recommendation

Preference Flow Matching with Spectral Factorization for Micro-video Recommendation

Conversational Recommendation over Live E-Commerce Catalogues with Self-Refreshing Retrieval

Session-based Social Recommendation via Dynamic Graph Attention Networks

Topology-Masked Unified Backbone for Joint Feature Interaction and Multi-Domain Sequence Modeling

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

BLANC: Discovering Patent White Space via Changes in Normalized Pointwise Mutual Information Between Multi-View Clusters

Federated Meta-Learning with Fast Convergence and Efficient Communication

When Does Supervised Fine-Tuning Reduce Instruction Sensitivity?

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

UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation

Assessing the Downstream Utility of Evidence-Aware Retrieval in RAG

Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction

Translation-based Recommendation

User-level sentiment analysis incorporating social networks

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting

Hypergraph Contrastive Collaborative Filtering

Editing Large Language Models: Problems, Methods, and Opportunities

Towards Deep Conversational Recommendations

Sequential Recommendation with Graph Neural Networks

HDLTex: Hierarchical Deep Learning for Text Classification

A quantum-inspired classical algorithm for recommendation systems

Filter-enhanced MLP is All You Need for Sequential Recommendation

DocPC: Document-Level Visual Retrieval via Representative Page Composition

MOTIF: Motivation-guided Topology Inference for Cold-start Multimodal Recommendation

Stability of graph communities across time scales

Continuous Time Dynamic Topic Models

Statistically Significant Detection of Linguistic Change

Query Expansion Is More Than Generation: Improving Dense Retrieval through Better Integration

CoNet: Collaborative Cross Networks for Cross-Domain Recommendation

Neural Collaborative Filtering vs. Matrix Factorization Revisited

KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction

Deeper Text Understanding for IR with Contextual Neural Language Modeling

Multi-Stage Document Ranking with BERT

Conversational Recommender System

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

Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS)

Knowledge Graph Contrastive Learning for Recommendation

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

Behavior Sequence Transformer for E-commerce Recommendation in Alibaba

Hamiltonian Spectral-Temporal Dissipative Dynamics for Sequential Recommendation

SWIM: Step-Wise Integrated Measure for Session-supervised List Evaluation in Generative Re-ranking

TransRetrieval: Scaling Up Transformer-Based Retrieval for Industrial Recommendation

Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education

Multi-Interest Network with Dynamic Routing for Recommendation at Tmall