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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841 to 900 of 1,626

Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction
Jason Weston, Antoine Bordes, Oksana Yakhnenko +1
cs.CLcs.IRcs.LGarXiv:1307.7973v12013
Weaving Visual Narratives: Agentic Image Bundle Composition Beyond Atomic Visual Matching
Rong Shan, Tianyi Xu, Congmin Zheng +9
cs.CVcs.IRarXiv:2608.28695v12026
A Hierarchical Framework for Relation Extraction with Reinforcement Learning
Ryuichi Takanobu, Tianyang Zhang, Jiexi Liu +1
cs.CLcs.IRarXiv:1811.03925v12018
Variations of the Similarity Function of TextRank for Automated Summarization
Federico Barrios, Federico López, Luis Argerich +1
cs.CLcs.IRarXiv:1602.03606v12016
Controlling Fairness and Bias in Dynamic Learning-to-Rank
Marco Morik, Ashudeep Singh, Jessica Hong +1
cs.IRcs.CYstat.MLarXiv:2005.14713v12020
Can Large Language Models Identify Meaningful Touchpoints in Conversion Attribution?
Jinqi Wu, Sishuo Chen, Zhangming Chan +9
cs.CLcs.AIcs.IRarXiv:2608.28649v12026
Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System
Ding Zou, Wei Wei, Xian-Ling Mao +4
cs.IRarXiv:2204.08807v12022
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
Ningyu Zhang, Mosha Chen, Zhen Bi +20
cs.CLcs.AIcs.IRarXiv:2106.08087v62021
NLP-Driven Knowledge Extraction and Thematic Classification of Translated Ancient Indian Medical Texts
M. S. Rajeevan, B. Mini Devi, V. S. Anoop +1
cs.CLcs.AIcs.IRarXiv:2608.28608v12026
Policy Learning for Fairness in Ranking
Ashudeep Singh, Thorsten Joachims
cs.LGcs.CYcs.IRarXiv:1902.04056v22019
Learning to Evaluate Before Improving: Automatic Rubric Induction for Automatic Research Agents
Xuehai Wang, Haowei Qin, Tongxin Liu +6
cs.CLcs.AIcs.IRarXiv:2608.31076v12026
PULSAR: Pooled Unified Late-Interaction Search and Retrieval for Enterprise Visual Document RAG
Benjamin Constable, Anup Roy, Vishal Sharma +3
cs.IRarXiv:2608.28572v12026
SG-UMP: Sequence-Guided Universal Multimodal Prioritization Calculation Framework
Xinyi Zhang, Yutong Li, Peijie Sun
cs.IRarXiv:2608.28503v12026
LINE Conversation History Retrieval for Personal Memory RAG: Evaluating Search Representations and Hybrid Retrieval
Akito Hattori
cs.IRarXiv:2608.27809v12026
QUEST: A Query and Extraction System for Topics in Asylum Law Application Decisions
Maria Vlachou, Anna Murphy Høgenhaug, Mohammad N. S. Jahromi +4
cs.IRarXiv:2608.28555v12026
Every Article Deserves a Video: Contextual Video Matching for Digital Publishers
Arnaud Corone, Brice Pierre de la Briere, Gladys Roch +3
cs.IRarXiv:2608.28359v12026
Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering
Zhentao Xu, Mark Jerome Cruz, Matthew Guevara +4
cs.IRcs.AIcs.CLarXiv:2404.17723v22024
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph
Junhan Yang, Zheng Liu, Shitao Xiao +6
cs.CLcs.AIcs.IRarXiv:2105.02605v32021
AutoDebias: Learning to Debias for Recommendation
Jiawei Chen, Hande Dong, Yang Qiu +5
cs.LGcs.IRarXiv:2105.04170v52021
Zero-Shot Composed Image Retrieval with Textual Inversion
Alberto Baldrati, Lorenzo Agnolucci, Marco Bertini +1
cs.CVcs.CLcs.IRarXiv:2303.15247v22023
Towards Topic-Guided Conversational Recommender System
Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao +2
cs.CLcs.HCcs.IRarXiv:2010.04125v22020
Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences
Marcel Trotzek, Sven Koitka, Christoph M. Friedrich
cs.CLcs.IRarXiv:1804.07000v32018
Visualization of Very Large High-Dimensional Data Sets as Minimum Spanning Trees
Daniel Probst, Jean-Louis Reymond
cs.HCcs.CVcs.DSarXiv:1908.10410v32019
Retrieval-Augmented Generation with Graphs (GraphRAG)
Haoyu Han, Yu Wang, Harry Shomer +15
cs.IRcs.CLcs.LGarXiv:2501.00309v22024
The Survey of Data Mining Applications And Feature Scope
Neelamadhab Padhy, Dr. Pragnyaban Mishra, Rasmita Panigrahi
cs.DBcs.IRarXiv:1211.5723v12012
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation
Jizhi Zhang, Keqin Bao, Yang Zhang +3
cs.IRcs.CLcs.CYarXiv:2305.07609v42023
Graph Meta Network for Multi-Behavior Recommendation
Lianghao Xia, Yong Xu, Chao Huang +2
cs.IRcs.AIarXiv:2110.03969v12021
SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval
Thibault Formal, Carlos Lassance, Benjamin Piwowarski +1
cs.IRcs.AIcs.CLarXiv:2109.10086v12021
Personalized Transfer of User Preferences for Cross-domain Recommendation
Yongchun Zhu, Zhenwei Tang, Yudan Liu +5
cs.IRcs.LGarXiv:2110.11154v32021
On Sampling Strategies for Neural Network-based Collaborative Filtering
Ting Chen, Yizhou Sun, Yue Shi +1
cs.LGcs.IRcs.SIarXiv:1706.07881v12017
Improving Passage Retrieval with Zero-Shot Question Generation
Devendra Singh Sachan, Mike Lewis, Mandar Joshi +4
cs.CLcs.IRarXiv:2204.07496v42022
Recent Advance in Content-based Image Retrieval: A Literature Survey
Wengang Zhou, Houqiang Li, Qi Tian
cs.MMcs.IRarXiv:1706.06064v22017
An Information Retrieval Approach to Short Text Conversation
Zongcheng Ji, Zhengdong Lu, Hang Li
cs.IRcs.CLarXiv:1408.6988v12014
Personalized Prompt Learning for Explainable Recommendation
Lei Li, Yongfeng Zhang, Li Chen
cs.IRcs.AIcs.CLarXiv:2202.07371v22022
Self-Taught Convolutional Neural Networks for Short Text Clustering
Jiaming Xu, Bo Xu, Peng Wang +4
cs.IRcs.CLarXiv:1701.00185v12017
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization
Dai Quoc Nguyen, Thanh Vu, Tu Dinh Nguyen +2
cs.CLcs.IRarXiv:1808.04122v32018
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
Xu Huang, Jianxun Lian, Yuxuan Lei +3
cs.IRcs.AIarXiv:2308.16505v32023
A Versioned Unified Graph Index for Dynamic Timestamp-Aware Nearest Neighbor Search
Jun Woo Chung, Weijie Zhao
cs.IRarXiv:2608.27663v12026
Contrastive Self-supervised Sequential Recommendation with Robust Augmentation
Zhiwei Liu, Yongjun Chen, Jia Li +3
cs.IRcs.AIarXiv:2108.06479v12021
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
Jiani Zhang, Xingjian Shi, Shenglin Zhao +1
cs.IRcs.LGcs.SIarXiv:1905.13129v12019
Towards Representation Alignment and Uniformity in Collaborative Filtering
Chenyang Wang, Yuanqing Yu, Weizhi Ma +4
cs.IRarXiv:2206.12811v12022
One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction
Xiang-Rong Sheng, Liqin Zhao, Guorui Zhou +8
cs.IRcs.LGarXiv:2101.11427v52021
NormasTCU --- A Brazilian Portuguese IR Dataset and an Evaluation of LLM-as-a-Judge for Relevance Assessment
Leandro Carísio Fernandes, Marcus Vinícius Borela de Castro, Leandro dos Santos Ribeiro +2
cs.IRarXiv:2608.27746v12026
Beyond the Vacuum: Combinatorial Strategy Selection for Competitor-Aware Generative Engine Optimization
Vaibhav Sourirajan, Yao Zhang, Himanshu Kumar +3
cs.IRarXiv:2608.27631v12026
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation
Lianghao Xia, Chao Huang, Yong Xu +5
cs.IRcs.AIarXiv:2110.04000v12021
Towards Long-term Fairness in Recommendation
Yingqiang Ge, Shuchang Liu, Ruoyuan Gao +8
cs.IRarXiv:2101.03584v12021
Wontopos Tablet 2: Measuring Multilingual and Multimodal Memory Retrieval Without Lexical Matching
Sunwoo Kim
cs.IRcs.CLcs.CVarXiv:2608.23920v12026
Interactive Path Reasoning on Graph for Conversational Recommendation
Wenqiang Lei, Gangyi Zhang, Xiangnan He +4
cs.IRarXiv:2007.00194v12020
HubMixer: Progressive Latent Hub Mixing for Parameter-Efficient Feature Interaction in Recommendation
Jie Zhou, Zixian Gong, Wenhao Li +6
cs.IRarXiv:2608.27991v12026
Machine learning approach for text and document mining
Vishwanath Bijalwan, Pinki Kumari, Jordan Pascual +1
cs.IRcs.LGarXiv:1406.1580v12014
Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning
Xuan Wang, Yu Zhang, Xiang Ren +5
cs.IRcs.CLstat.MLarXiv:1801.09851v42018
DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition
Weizhou Shen, Junqing Chen, Xiaojun Quan +1
cs.CLcs.AIcs.IRarXiv:2012.08695v12020
Data-efficient Fine-tuning for LLM-based Recommendation
Xinyu Lin, Wenjie Wang, Yongqi Li +4
cs.IRarXiv:2401.17197v22024
DiffuRec: A Diffusion Model for Sequential Recommendation
Zihao Li, Aixin Sun, Chenliang Li
cs.IRarXiv:2304.00686v42023
A Retrospective Analysis of the Fake News Challenge Stance Detection Task
Andreas Hanselowski, Avinesh PVS, Benjamin Schiller +4
cs.IRcs.AIcs.CLarXiv:1806.05180v12018
Personalized and Multi-View Representation for Federated Cold-Start Recommendation
Jaehyung Lim, Wonbin Kweon, Woojoo Kim +3
cs.IRcs.LGarXiv:2608.27826v12026
VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents
Shi Yu, Chaoyue Tang, Bokai Xu +8
cs.IRcs.AIcs.CLarXiv:2410.10594v22024
Heterogeneous Graph Contrastive Learning for Recommendation
Mengru Chen, Chao Huang, Lianghao Xia +3
cs.IRarXiv:2303.00995v12023
ITER: Interaction-Aware Retrieval for Agentic Search
Haodong Chen, Shuai Wang, Yu Yin +3
cs.IRarXiv:2608.27912v12026
Meta-Prod2Vec - Product Embeddings Using Side-Information for Recommendation
Flavian Vasile, Elena Smirnova, Alexis Conneau
cs.IRcs.AIarXiv:1607.07326v12016

Information Retrieval

Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction

Weaving Visual Narratives: Agentic Image Bundle Composition Beyond Atomic Visual Matching

A Hierarchical Framework for Relation Extraction with Reinforcement Learning

Variations of the Similarity Function of TextRank for Automated Summarization

Controlling Fairness and Bias in Dynamic Learning-to-Rank

Can Large Language Models Identify Meaningful Touchpoints in Conversion Attribution?

Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

NLP-Driven Knowledge Extraction and Thematic Classification of Translated Ancient Indian Medical Texts

Policy Learning for Fairness in Ranking

Learning to Evaluate Before Improving: Automatic Rubric Induction for Automatic Research Agents

PULSAR: Pooled Unified Late-Interaction Search and Retrieval for Enterprise Visual Document RAG

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

LINE Conversation History Retrieval for Personal Memory RAG: Evaluating Search Representations and Hybrid Retrieval

QUEST: A Query and Extraction System for Topics in Asylum Law Application Decisions

Every Article Deserves a Video: Contextual Video Matching for Digital Publishers

Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering

GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph

AutoDebias: Learning to Debias for Recommendation

Zero-Shot Composed Image Retrieval with Textual Inversion

Towards Topic-Guided Conversational Recommender System

Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences

Visualization of Very Large High-Dimensional Data Sets as Minimum Spanning Trees

Retrieval-Augmented Generation with Graphs (GraphRAG)

The Survey of Data Mining Applications And Feature Scope

Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation

Graph Meta Network for Multi-Behavior Recommendation

SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval

Personalized Transfer of User Preferences for Cross-domain Recommendation

On Sampling Strategies for Neural Network-based Collaborative Filtering

Improving Passage Retrieval with Zero-Shot Question Generation

Recent Advance in Content-based Image Retrieval: A Literature Survey

An Information Retrieval Approach to Short Text Conversation

Personalized Prompt Learning for Explainable Recommendation

Self-Taught Convolutional Neural Networks for Short Text Clustering

A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization

Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

A Versioned Unified Graph Index for Dynamic Timestamp-Aware Nearest Neighbor Search

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems

Towards Representation Alignment and Uniformity in Collaborative Filtering

One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction

NormasTCU --- A Brazilian Portuguese IR Dataset and an Evaluation of LLM-as-a-Judge for Relevance Assessment

Beyond the Vacuum: Combinatorial Strategy Selection for Competitor-Aware Generative Engine Optimization

Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation

Towards Long-term Fairness in Recommendation

Wontopos Tablet 2: Measuring Multilingual and Multimodal Memory Retrieval Without Lexical Matching

Interactive Path Reasoning on Graph for Conversational Recommendation

HubMixer: Progressive Latent Hub Mixing for Parameter-Efficient Feature Interaction in Recommendation

Machine learning approach for text and document mining

Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning

DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition

Data-efficient Fine-tuning for LLM-based Recommendation

DiffuRec: A Diffusion Model for Sequential Recommendation

A Retrospective Analysis of the Fake News Challenge Stance Detection Task

Personalized and Multi-View Representation for Federated Cold-Start Recommendation

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents

Heterogeneous Graph Contrastive Learning for Recommendation

ITER: Interaction-Aware Retrieval for Agentic Search

Meta-Prod2Vec - Product Embeddings Using Side-Information for Recommendation