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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781 to 840 of 1,626

Empowering News Recommendation with Pre-trained Language Models
Chuhan Wu, Fangzhao Wu, Tao Qi +1
cs.IRarXiv:2104.07413v12021
Database-Augmented RAG for Automated Repair of REST API Misuses
Shoei Inoue, Norihiro Yoshida, Erina Makihara +2
cs.IRcs.SEarXiv:2608.29290v12026
A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances
Fan Zhou, Xovee Xu, Goce Trajcevski +1
cs.SIcs.IRcs.LGarXiv:2005.11041v32020
A Generic Coordinate Descent Framework for Learning from Implicit Feedback
Immanuel Bayer, Xiangnan He, Bhargav Kanagal +1
cs.IRcs.LGarXiv:1611.04666v12016
Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings
Feiyang Pan, Shuokai Li, Xiang Ao +2
cs.LGcs.IRstat.MLarXiv:1904.11547v12019
Poisoning Attacks to Graph-Based Recommender Systems
Minghong Fang, Guolei Yang, Neil Zhenqiang Gong +1
cs.IRcs.CRcs.LGarXiv:1809.04127v12018
SimpleX: A Simple and Strong Baseline for Collaborative Filtering
Kelong Mao, Jieming Zhu, Jinpeng Wang +4
cs.IRcs.AIarXiv:2109.12613v32021
SemEval-2017 Task 3: Community Question Answering
Preslav Nakov, Doris Hoogeveen, Lluís Màrquez +4
cs.CLcs.AIcs.IRarXiv:1912.00730v12019
Document-level Relation Extraction as Semantic Segmentation
Ningyu Zhang, Xiang Chen, Xin Xie +6
cs.CLcs.AIcs.CVarXiv:2106.03618v22021
Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
Yuan Sui, Mengyu Zhou, Mingjie Zhou +2
cs.CLcs.AIcs.IRarXiv:2305.13062v52023
Adaptive Graph Contrastive Learning for Recommendation
Yangqin Jiang, Chao Huang, Lianghao Xia
cs.IRarXiv:2305.10837v32023
Community detection in networks: Structural communities versus ground truth
Darko Hric, Richard K. Darst, Santo Fortunato
physics.soc-phcs.IRcs.SIarXiv:1406.0146v22014
An Empirical Study of Real-World SPARQL Queries
Mario Arias, Javier D. Fernández, Miguel A. Martínez-Prieto +1
cs.IRcs.AIcs.HCarXiv:1103.5043v12011
Measuring the Business Value of Recommender Systems
Dietmar Jannach, Michael Jugovac
cs.IRcs.AIcs.LGarXiv:1908.08328v32019
The Role of User Profile for Fake News Detection
Kai Shu, Xinyi Zhou, Suhang Wang +2
cs.SIcs.IRarXiv:1904.13355v12019
RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze!
Ronak Pradeep, Sahel Sharifymoghaddam, Jimmy Lin
cs.IRarXiv:2312.02724v12023
Cross-Modal Interaction Networks for Query-Based Moment Retrieval in Videos
Zhu Zhang, Zhijie Lin, Zhou Zhao +1
cs.IRcs.CVcs.MMarXiv:1906.02497v22019
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time
Chantat Eksombatchai, Pranav Jindal, Jerry Zitao Liu +5
cs.IRcs.LGcs.PFarXiv:1711.07601v12017
Yelp Dataset Challenge: Review Rating Prediction
Nabiha Asghar
cs.CLcs.IRcs.LGarXiv:1605.05362v12016
Understanding the Behaviors of BERT in Ranking
Yifan Qiao, Chenyan Xiong, Zhenghao Liu +1
cs.IRcs.CLarXiv:1904.07531v42019
Sherlock: A Deep Learning Approach to Semantic Data Type Detection
Madelon Hulsebos, Kevin Hu, Michiel Bakker +5
cs.LGcs.DBcs.IRarXiv:1905.10688v12019
Open-Domain Question Answering Goes Conversational via Question Rewriting
Raviteja Anantha, Svitlana Vakulenko, Zhucheng Tu +3
cs.IRcs.CLarXiv:2010.04898v32020
Explainable Recommendation via Multi-Task Learning in Opinionated Text Data
Nan Wang, Hongning Wang, Yiling Jia +1
cs.IRcs.AIarXiv:1806.03568v12018
Multi-View Graph Convolutional Network for Multimedia Recommendation
Penghang Yu, Zhiyi Tan, Guanming Lu +1
cs.IRarXiv:2308.03588v12023
PRIME: Mitigating Subgroup Optimization Competition in Shared CTR Top Networks with Plug-in Residual Input-Conditioned Mixture of Expert
Heng Yao, Siyun Hou, Tianying Liu +8
cs.LGcs.IRarXiv:2608.30449v12026
Interpretable Rumor Detection in Microblogs by Attending to User Interactions
Ling Min Serena Khoo, Hai Leong Chieu, Zhong Qian +1
cs.CLcs.IRcs.SIarXiv:2001.10667v12020
RSLM: Training-Free Vector Quantization for Approximate Nearest Neighbor Search
Rastislav Lenhardt, Teodora Dobos, Thomas Vecchiato +2
cs.LGcs.IRarXiv:2608.30384v12026
Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era
Sunhao Dai, Chen Xu, Shicheng Xu +3
cs.IRcs.AIcs.CLarXiv:2404.11457v22024
Learnable Item Tokenization for Generative Recommendation
Wenjie Wang, Honghui Bao, Xinyu Lin +5
cs.IRarXiv:2405.07314v32024
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System
Jiaxi Tang, Ke Wang
cs.LGcs.IRstat.MLarXiv:1809.07428v12018
DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval
Liang Pang, Yanyan Lan, Jiafeng Guo +3
cs.IRarXiv:1710.05649v22017
Effective Graph and Rank-based Contextual Embeddings for Textual and Multimedia Data
Thiago César Castilho Almeida, Gustavo Rosseto Letício, Lucas Pascotti Valem +2
cs.LGcs.CVcs.IRarXiv:2608.29001v12026
Retrospective Reader for Machine Reading Comprehension
Zhuosheng Zhang, Junjie Yang, Hai Zhao
cs.CLcs.AIcs.IRarXiv:2001.09694v42020
Context-Aware Interpretable Representations for Retrieval and Graph Convolutional Network Classification
Thiago César Castilho Almeida, Gustavo Rosseto Letício, Vinicius Atsushi Sato Kawai +1
cs.LGcs.CVcs.IRarXiv:2608.29004v12026
Memory Augmented Graph Neural Networks for Sequential Recommendation
Chen Ma, Liheng Ma, Yingxue Zhang +3
cs.IRarXiv:1912.11730v12019
Towards a Model of Understanding Social Search
Brynn M. Evans, Ed H. Chi
cs.IRcs.HCarXiv:0908.0595v12009
BERT with History Answer Embedding for Conversational Question Answering
Chen Qu, Liu Yang, Minghui Qiu +3
cs.IRarXiv:1905.05412v22019
Configurable Semantic Chunking for Biomedical Information Extraction in Retrieval-Augmented Generation
Riya Ahuja, Tim Kacprowski, Roya Shiasi Sardoabi
cs.CLcs.IRarXiv:2608.31139v12026
The Multilingual Amazon Reviews Corpus
Phillip Keung, Yichao Lu, György Szarvas +1
cs.CLcs.IRcs.LGarXiv:2010.02573v12020
ECGQuest: Benchmarking and Fine-Tuning Language Models for Electrocardiography
Mohammadsina Hassannia, Matthew A. Reyna, Reza Sameni
cs.CLcs.IRarXiv:2608.30893v12026
Perspectives on Large Language Models for Relevance Judgment
Guglielmo Faggioli, Laura Dietz, Charles Clarke +8
cs.IRcs.CYarXiv:2304.09161v22023
Characterizing the community structure of complex networks
Andrea Lancichinetti, Mikko Kivela, Jari Saramaki +1
physics.soc-phcs.IRarXiv:1005.4376v12010
Contrastive Meta Learning with Behavior Multiplicity for Recommendation
Wei Wei, Chao Huang, Lianghao Xia +3
cs.IRcs.AIcs.LGarXiv:2202.08523v12022
Hi-Q: Hierarchical Evidence-guided Query Refinement for Multi-Hop Question Answering
Jueun Kim, Sungho Park, Wook-Shin Han
cs.CLcs.IRarXiv:2608.30468v12026
Beyond Polarization: The Generative Constraint of Chain-of-Thought in Pointwise Reranking
Xiaoyang Chen, Jie Liu, Haijin Liang +5
cs.CLcs.IRarXiv:2608.30398v12026
Benchmarking large language models for biomedical natural language processing applications and recommendations
Qingyu Chen, Yan Hu, Xueqing Peng +18
cs.CLcs.AIcs.IRarXiv:2305.16326v52023
Fairness-Aware Explainable Recommendation over Knowledge Graphs
Zuohui Fu, Yikun Xian, Ruoyuan Gao +8
cs.IRcs.AIcs.SIarXiv:2006.02046v22020
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
Maurizio Ferrari Dacrema, Simone Boglio, Paolo Cremonesi +1
cs.IRcs.LGcs.NEarXiv:1911.07698v32019
Socially-Aware Self-Supervised Tri-Training for Recommendation
Junliang Yu, Hongzhi Yin, Min Gao +3
cs.IRarXiv:2106.03569v42021
Jointly Learning Explainable Rules for Recommendation with Knowledge Graph
Weizhi Ma, Min Zhang, Yue Cao +6
cs.IRcs.AIcs.LGarXiv:1903.03714v12019
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer
Ziwei Fan, Zhiwei Liu, Jiawei Zhang +3
cs.IRcs.AIcs.LGarXiv:2108.06625v22021
Toward Optimal Feature Selection in Naive Bayes for Text Categorization
Bo Tang, Steven Kay, Haibo He
stat.MLcs.CLcs.IRarXiv:1602.02850v12016
REIGN: Refurbished Embeddings with Integrated Guidance Networks for Efficient Context-Length Scaling
Devrim Çavuşoğlu, Emre Akbaş
cs.CLcs.AIcs.IRarXiv:2608.29899v12026
Graph Learning based Recommender Systems: A Review
Shoujin Wang, Liang Hu, Yan Wang +6
cs.IRcs.AIcs.LGarXiv:2105.06339v12021
You Know What I Mean: A Benchmark for Agentic Conversational Reference Grounding
Karen Fuchs, Uri Katz, Yoav Goldberg
cs.CLcs.IRarXiv:2608.29834v12026
A note on the triangle inequality for the Jaccard distance
Sven Kosub
cs.DMcs.IRcs.LGarXiv:1612.02696v12016
Detection of Novel Social Bots by Ensembles of Specialized Classifiers
Mohsen Sayyadiharikandeh, Onur Varol, Kai-Cheng Yang +2
cs.SIcs.IRcs.LGarXiv:2006.06867v22020
Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?
Shuai Wang, Harrisen Scells, Bevan Koopman +1
cs.IRcs.AIarXiv:2302.03495v32023
Self-Supervised Graph Co-Training for Session-based Recommendation
Xin Xia, Hongzhi Yin, Junliang Yu +2
cs.IRarXiv:2108.10560v12021
Cloud and On-Premises Deployment of Uzbek Legal RAG via Targeted Retriever Fine-Tuning
Tatul Danielyan, Mariam Avetisyan, Hrant Davtyan
cs.CLcs.IRarXiv:2608.29284v12026

Information Retrieval

Empowering News Recommendation with Pre-trained Language Models

Database-Augmented RAG for Automated Repair of REST API Misuses

A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances

A Generic Coordinate Descent Framework for Learning from Implicit Feedback

Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings

Poisoning Attacks to Graph-Based Recommender Systems

SimpleX: A Simple and Strong Baseline for Collaborative Filtering

SemEval-2017 Task 3: Community Question Answering

Document-level Relation Extraction as Semantic Segmentation

Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study

Adaptive Graph Contrastive Learning for Recommendation

Community detection in networks: Structural communities versus ground truth

An Empirical Study of Real-World SPARQL Queries

Measuring the Business Value of Recommender Systems

The Role of User Profile for Fake News Detection

RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze!

Cross-Modal Interaction Networks for Query-Based Moment Retrieval in Videos

Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time

Yelp Dataset Challenge: Review Rating Prediction

Understanding the Behaviors of BERT in Ranking

Sherlock: A Deep Learning Approach to Semantic Data Type Detection

Open-Domain Question Answering Goes Conversational via Question Rewriting

Explainable Recommendation via Multi-Task Learning in Opinionated Text Data

Multi-View Graph Convolutional Network for Multimedia Recommendation

PRIME: Mitigating Subgroup Optimization Competition in Shared CTR Top Networks with Plug-in Residual Input-Conditioned Mixture of Expert

Interpretable Rumor Detection in Microblogs by Attending to User Interactions

RSLM: Training-Free Vector Quantization for Approximate Nearest Neighbor Search

Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era

Learnable Item Tokenization for Generative Recommendation

Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System

DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval

Effective Graph and Rank-based Contextual Embeddings for Textual and Multimedia Data

Retrospective Reader for Machine Reading Comprehension

Context-Aware Interpretable Representations for Retrieval and Graph Convolutional Network Classification

Memory Augmented Graph Neural Networks for Sequential Recommendation

Towards a Model of Understanding Social Search

BERT with History Answer Embedding for Conversational Question Answering

Configurable Semantic Chunking for Biomedical Information Extraction in Retrieval-Augmented Generation

The Multilingual Amazon Reviews Corpus

ECGQuest: Benchmarking and Fine-Tuning Language Models for Electrocardiography

Perspectives on Large Language Models for Relevance Judgment

Characterizing the community structure of complex networks

Contrastive Meta Learning with Behavior Multiplicity for Recommendation

Hi-Q: Hierarchical Evidence-guided Query Refinement for Multi-Hop Question Answering

Beyond Polarization: The Generative Constraint of Chain-of-Thought in Pointwise Reranking

Benchmarking large language models for biomedical natural language processing applications and recommendations

Fairness-Aware Explainable Recommendation over Knowledge Graphs

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

Socially-Aware Self-Supervised Tri-Training for Recommendation

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer

Toward Optimal Feature Selection in Naive Bayes for Text Categorization

REIGN: Refurbished Embeddings with Integrated Guidance Networks for Efficient Context-Length Scaling

Graph Learning based Recommender Systems: A Review

You Know What I Mean: A Benchmark for Agentic Conversational Reference Grounding

A note on the triangle inequality for the Jaccard distance

Detection of Novel Social Bots by Ensembles of Specialized Classifiers

Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?

Self-Supervised Graph Co-Training for Session-based Recommendation

Cloud and On-Premises Deployment of Uzbek Legal RAG via Targeted Retriever Fine-Tuning