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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181 to 240 of 1,626

Improving Knowledge Tracing via Pre-training Question Embeddings
Yunfei Liu, Yang Yang, Xianyu Chen +3
cs.IRcs.LGarXiv:2012.05031v12020
Few-Shot Conversational Dense Retrieval
Shi Yu, Zhenghao Liu, Chenyan Xiong +2
cs.IRarXiv:2105.04166v32021
Transforming Sentiment Analysis in the Financial Domain with ChatGPT
Georgios Fatouros, John Soldatos, Kalliopi Kouroumali +2
cs.CLcs.AIcs.CEarXiv:2308.07935v12023
The Benchmark Lottery
Mostafa Dehghani, Yi Tay, Alexey A. Gritsenko +5
cs.LGcs.AIcs.CLarXiv:2107.07002v12021
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention
Yehjin Shin, Jeongwhan Choi, Hyowon Wi +1
cs.LGcs.AIcs.IRarXiv:2312.10325v22023
ExpertLens: Visualizing Embedding Spaces for Post-Hoc Explainability in MoE Enhanced Retrievers
Effrosyni Sokli, Isaac Roberts, Alexander Schulz +2
cs.IRcs.AIarXiv:2609.06155v12026
PACRR: A Position-Aware Neural IR Model for Relevance Matching
Kai Hui, Andrew Yates, Klaus Berberich +1
cs.IRcs.CLarXiv:1704.03940v32017
Explainable Reasoning over Knowledge Graphs for Recommendation
Xiang Wang, Dingxian Wang, Canran Xu +3
cs.IRarXiv:1811.04540v12018
Disentangled Contrastive Collaborative Filtering
Xubin Ren, Lianghao Xia, Jiashu Zhao +2
cs.IRcs.AIarXiv:2305.02759v42023
AnonymousNet: Natural Face De-Identification with Measurable Privacy
Tao Li, Lei Lin
cs.CVcs.CRcs.IRarXiv:1904.12620v12019
Evidence-Aligned Entity Verification for Hallucination Detection in Retrieval-Augmented Generation
Runsong Jia, Zhen Fang, Mengjia Wu +2
cs.AIcs.IRarXiv:2609.08267v12026
Bridging the Semantic-Utility Gap in Multimodal RAG via Generator-in-the-Loop Alignment
Zhan-Lun Chang, Dong-Jun Han, Seyyedali Hosseinalipour +2
cs.AIcs.IRarXiv:2609.08188v12026
Citation content analysis (cca): A framework for syntactic and semantic analysis of citation content
Guo Zhang, Ying Ding, Staša Milojević
cs.DLcs.IRcs.ITarXiv:1211.6321v12012
Artificial Intelligence-Assisted Digital Inventory of Cultural Heritage & Traditional Knowledge: Case for Indonesian Open Digital Library of Culture
Hokky Situngkir
cs.AIcs.DLcs.HCarXiv:2609.08105v12026
Measuring Emotions in the COVID-19 Real World Worry Dataset
Bennett Kleinberg, Isabelle van der Vegt, Maximilian Mozes
cs.CLcs.IRcs.SIarXiv:2004.04225v22020
Bayesian Locality Sensitive Hashing for Fast Similarity Search
Venu Satuluri, Srinivasan Parthasarathy
cs.DBcs.AIcs.DSarXiv:1110.1328v32011
MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs
Sheng-Chieh Lin, Chankyu Lee, Mohammad Shoeybi +3
cs.CLcs.AIcs.CVarXiv:2411.02571v22024
Text-to-SQL Generation for Question Answering on Electronic Medical Records
Ping Wang, Tian Shi, Chandan K. Reddy
cs.CLcs.AIcs.IRarXiv:1908.01839v22019
Relational Reflection Entity Alignment
Xin Mao, Wenting Wang, Huimin Xu +2
cs.IRcs.CLcs.LGarXiv:2008.07962v12020
Meta Matrix Factorization for Federated Rating Predictions
Yujie Lin, Pengjie Ren, Zhumin Chen +5
cs.IRcs.LGarXiv:1910.10086v42019
IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation
Jun Zhao, Zhou Zhou, Ziyu Guan +4
cs.IRarXiv:1907.12377v12019
LLaRA: Large Language-Recommendation Assistant
Jiayi Liao, Sihang Li, Zhengyi Yang +4
cs.IRarXiv:2312.02445v42023
Ranking via Sinkhorn Propagation
Ryan Prescott Adams, Richard S. Zemel
stat.MLcs.IRcs.LGarXiv:1106.1925v22011
Beyond One-Shot Expansion: Contrastive Evidence Exploration for Multi-Hop Retrieval
JungMin Yun, YoungBin Kim
cs.AIcs.IRarXiv:2609.07050v12026
Counter-GEO-Bench: Evaluating Defenses Against Information-Distorting Generative Engine Optimization
Bing Zheng, Zongyao Zhao, Wenming Yang
cs.IRcs.CLcs.CRarXiv:2609.02316v12026
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning
Yang Deng, Yaliang Li, Fei Sun +2
cs.IRarXiv:2105.09710v12021
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
Yin Fang, Xiaozhuan Liang, Ningyu Zhang +5
q-bio.QMcs.AIcs.CEarXiv:2306.08018v52023
Extraction of Pharmacokinetic Evidence of Drug-drug Interactions from the Literature
Artemy Kolchinsky, Anália Lourenço, Heng-Yi Wu +2
stat.MLcs.IRq-bio.QMarXiv:1412.0744v22014
Customer Relationship Intelligence: Integrating CRM and MDM for Enhanced Customer Engagement
Tejasvi c. Addagada
cs.AIcs.IRarXiv:2609.06189v12026
On Generative Agents in Recommendation
An Zhang, Yuxin Chen, Leheng Sheng +2
cs.IRcs.AIarXiv:2310.10108v32023
A Survey on Popularity Bias in Recommender Systems
Anastasiia Klimashevskaia, Dietmar Jannach, Mehdi Elahi +1
cs.IRcs.AIcs.LGarXiv:2308.01118v32023
What Users See - Structures in Search Engine Results Pages
Nadine Hoechstoetter, Dirk Lewandowski
cs.IRarXiv:1511.05802v12015
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs
Bowen Jin, Chulin Xie, Jiawei Zhang +8
cs.CLcs.IRcs.LGarXiv:2404.07103v32024
Relevance-based Word Embedding
Hamed Zamani, W. Bruce Croft
cs.IRcs.CLcs.LGarXiv:1705.03556v22017
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction
Bin Liu, Ruiming Tang, Yingzhi Chen +3
cs.IRcs.LGarXiv:1904.04447v12019
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
Zhi-Hong Deng, Ling Huang, Chang-Dong Wang +2
cs.LGcs.IRstat.MLarXiv:1901.04704v12019
Two Algorithms for Orthogonal Nonnegative Matrix Factorization with Application to Clustering
Filippo Pompili, Nicolas Gillis, P. -A. Absil +1
math.OCcs.IRarXiv:1201.0901v22012
Visual Analysis of LLM-based Entity Resolution from Scientific Papers
Siyu Wu, Yi Yang, Weize Wu +6
cs.IRarXiv:2609.06037v12026
PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information
Jianxin Chang, Chenbin Zhang, Yiqun Hui +4
cs.IRarXiv:2302.01115v32023
Topic Modeling Based Multi-modal Depression Detection
Yuan Gong, Christian Poellabauer
cs.CLcs.IRcs.LGarXiv:1803.10384v12018
Click-Through Rate Prediction in Online Advertising: A Literature Review
Yanwu Yang, Panyu Zhai
cs.IRcs.AIcs.LGarXiv:2202.10462v12022
Recovering Temporal and Geographic Signals from Language Model Embeddings
Esteban Feuerstein, Victoria Klimkowski, Juan Manuel Ortiz de Zarate +1
cs.AIcs.IRarXiv:2609.05721v12026
MMALFM: Explainable Recommendation by Leveraging Reviews and Images
Zhiyong Cheng, Xiaojun Chang, Lei Zhu +2
cs.IRarXiv:1811.05318v22018
SDM: Sequential Deep Matching Model for Online Large-scale Recommender System
Fuyu Lv, Taiwei Jin, Changlong Yu +4
cs.IRarXiv:1909.00385v22019
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation
Junwei Zhang, Min Gao, Junliang Yu +3
cs.IRcs.AIarXiv:2109.04200v22021
Word2Vec applied to Recommendation: Hyperparameters Matter
Hugo Caselles-Dupré, Florian Lesaint, Jimena Royo-Letelier
cs.IRcs.CLcs.LGarXiv:1804.04212v32018
RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
David Rohde, Stephen Bonner, Travis Dunlop +2
cs.IRcs.LGarXiv:1808.00720v22018
How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval
Sheng-Chieh Lin, Akari Asai, Minghan Li +5
cs.IRcs.CLarXiv:2302.07452v12023
TREC CAsT 2019: The Conversational Assistance Track Overview
Jeffrey Dalton, Chenyan Xiong, Jamie Callan
cs.IRcs.CLcs.LGarXiv:2003.13624v12020
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning
Juntao Tan, Shijie Geng, Zuohui Fu +4
cs.IRcs.LGarXiv:2202.08816v32022
Enhancing Financial Question Answering: A Novel Benchmark Dataset of Banks' financial statements
Arianna Miola, Bruno Spaccavento, Lorenzo Silotto +2
cs.CLcs.AIcs.CEarXiv:2609.03654v12026
Re2G: Retrieve, Rerank, Generate
Michael Glass, Gaetano Rossiello, Md Faisal Mahbub Chowdhury +3
cs.CLcs.AIcs.IRarXiv:2207.06300v12022
Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks
Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang +5
cs.IRarXiv:2105.04790v12021
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems
Chang Zhou, Jianxin Ma, Jianwei Zhang +2
cs.IRcs.LGcs.SIarXiv:2005.12964v92020
Plan Pointers and Record-Directive Form in Budgeted Verification of Inherited Agent Memory
Kazuki Nakayashiki
cs.IRcs.AIcs.CLarXiv:2609.03450v12026
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation
An Yan, Shuo Cheng, Wang-Cheng Kang +2
cs.IRcs.LGarXiv:1908.09972v12019
Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View
Shen Wang, Jibing Gong, Jinlong Wang +4
cs.LGcs.CYcs.IRarXiv:2006.13257v12020
The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation
Himan Abdollahpouri, Masoud Mansoury, Robin Burke +1
cs.IRarXiv:2008.09273v12020
User-centered Evaluation of Popularity Bias in Recommender Systems
Himan Abdollahpouri, Masoud Mansoury, Robin Burke +2
cs.IRcs.AIarXiv:2103.06364v12021
Topic Modelling Meets Deep Neural Networks: A Survey
He Zhao, Dinh Phung, Viet Huynh +3
cs.LGcs.CLcs.IRarXiv:2103.00498v12021

Information Retrieval

Improving Knowledge Tracing via Pre-training Question Embeddings

Few-Shot Conversational Dense Retrieval

Transforming Sentiment Analysis in the Financial Domain with ChatGPT

The Benchmark Lottery

An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention

ExpertLens: Visualizing Embedding Spaces for Post-Hoc Explainability in MoE Enhanced Retrievers

PACRR: A Position-Aware Neural IR Model for Relevance Matching

Explainable Reasoning over Knowledge Graphs for Recommendation

Disentangled Contrastive Collaborative Filtering

AnonymousNet: Natural Face De-Identification with Measurable Privacy

Evidence-Aligned Entity Verification for Hallucination Detection in Retrieval-Augmented Generation

Bridging the Semantic-Utility Gap in Multimodal RAG via Generator-in-the-Loop Alignment

Citation content analysis (cca): A framework for syntactic and semantic analysis of citation content

Artificial Intelligence-Assisted Digital Inventory of Cultural Heritage & Traditional Knowledge: Case for Indonesian Open Digital Library of Culture

Measuring Emotions in the COVID-19 Real World Worry Dataset

Bayesian Locality Sensitive Hashing for Fast Similarity Search

MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs

Text-to-SQL Generation for Question Answering on Electronic Medical Records

Relational Reflection Entity Alignment

Meta Matrix Factorization for Federated Rating Predictions

IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation

LLaRA: Large Language-Recommendation Assistant

Ranking via Sinkhorn Propagation

Beyond One-Shot Expansion: Contrastive Evidence Exploration for Multi-Hop Retrieval

Counter-GEO-Bench: Evaluating Defenses Against Information-Distorting Generative Engine Optimization

Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning

Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models

Extraction of Pharmacokinetic Evidence of Drug-drug Interactions from the Literature

Customer Relationship Intelligence: Integrating CRM and MDM for Enhanced Customer Engagement

On Generative Agents in Recommendation

A Survey on Popularity Bias in Recommender Systems

What Users See - Structures in Search Engine Results Pages

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs

Relevance-based Word Embedding

Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction

DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System

Two Algorithms for Orthogonal Nonnegative Matrix Factorization with Application to Clustering

Visual Analysis of LLM-based Entity Resolution from Scientific Papers

PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information

Topic Modeling Based Multi-modal Depression Detection

Click-Through Rate Prediction in Online Advertising: A Literature Review

Recovering Temporal and Geographic Signals from Language Model Embeddings

MMALFM: Explainable Recommendation by Leveraging Reviews and Images

SDM: Sequential Deep Matching Model for Online Large-scale Recommender System

Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation

Word2Vec applied to Recommendation: Hyperparameters Matter

RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval

TREC CAsT 2019: The Conversational Assistance Track Overview

Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning

Enhancing Financial Question Answering: A Novel Benchmark Dataset of Banks' financial statements

Re2G: Retrieve, Rerank, Generate

Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks

Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems

Plan Pointers and Record-Directive Form in Budgeted Verification of Inherited Agent Memory

CosRec: 2D Convolutional Neural Networks for Sequential Recommendation

Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View

The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation

User-centered Evaluation of Popularity Bias in Recommender Systems

Topic Modelling Meets Deep Neural Networks: A Survey