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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481 to 540 of 1,627

jina-embeddings-v3: Multilingual Embeddings With Task LoRA
Saba Sturua, Isabelle Mohr, Mohammad Kalim Akram +8
cs.CLcs.AIcs.IRarXiv:2409.10173v32024
hLLM: Single Pass Decoding for Generative Reranking
Emil Laftchiev, Prachi Agrawal, Moe Kayali +7
cs.LGcs.AIcs.IRarXiv:2609.01807v12026
A Few Brief Notes on DeepImpact, COIL, and a Conceptual Framework for Information Retrieval Techniques
Jimmy Lin, Xueguang Ma
cs.IRcs.CLarXiv:2106.14807v12021
Personalized Transformer for Explainable Recommendation
Lei Li, Yongfeng Zhang, Li Chen
cs.IRcs.AIcs.CLarXiv:2105.11601v22021
ViSAR: Training-Free Adaptive-$k$ Retrieval for Visual Document Question Answering
Adrien Mialland, Marc Plantevit, Julien Gallois +1
cs.IRcs.AIcs.CLarXiv:2609.02486v12026
From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs
Yaxiong Wu, Sheng Liang, Chen Zhang +5
cs.IRarXiv:2504.15965v22025
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering
Devendra Singh Sachan, Siva Reddy, William Hamilton +2
cs.CLcs.AIcs.IRarXiv:2106.05346v22021
Generative Retrieval for E-commerce: Jointly Learning Embedding and Codebook with Same Product Cluster
Songtao Fang, Zihao Xu, Shaowei Wei +2
cs.IRcs.AIarXiv:2608.30606v12026
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns
Feng Yuan, Lina Yao, Boualem Benatallah
cs.LGcs.IRstat.MLarXiv:1905.10760v12019
LightThinker: Thinking Step-by-Step Compression
Jintian Zhang, Yuqi Zhu, Mengshu Sun +6
cs.CLcs.AIcs.IRarXiv:2502.15589v22025
Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation
Jiakai Tang, Sunhao Dai, Teng Shi +5
cs.IRcs.AIcs.CLarXiv:2503.22675v32025
Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers
Kunal Sawarkar, Abhilasha Mangal, Shivam Raj Solanki
cs.IRcs.AIcs.CLarXiv:2404.07220v22024
Science overlay maps: a new tool for research policy and library management
Ismael Rafols, Alan L. Porter, Loet Leydesdorff
cs.DLcs.IRphysics.soc-pharXiv:0912.3882v12009
jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval
Michael Günther, Saba Sturua, Mohammad Kalim Akram +8
cs.AIcs.CLcs.IRarXiv:2506.18902v32025
CAMIE: Co-Engagement-Aware Multimodal Item Embeddings for Snap Dynamic Product Ads Retrieval
Xiaodong Liu, Siman Wang, Congfei Zhang +9
cs.IRarXiv:2608.30255v12026
Graph Neural News Recommendation with Long-term and Short-term Interest Modeling
Linmei Hu, Chen Li, Chuan Shi +2
cs.IRcs.CLcs.LGarXiv:1910.14025v22019
Index-Free Dynamic Edge Retrieval with Energy-Tail-Aware Partial Scans
Mohammad Arif Rasyidi, Omar Alhussein
cs.IRarXiv:2609.01820v12026
Summaries:한국어
TGR: Advancing Industrial Recommendation from Generative-Paradigm Ranking toward Unified Generation and Reasoning
TGR Team, Lei Cheng, Haonan Hu +11
cs.IRarXiv:2609.00986v12026
Addressing Complex and Subjective Product-Related Queries with Customer Reviews
Julian McAuley, Alex Yang
cs.IRcs.AIcs.SIarXiv:1512.06863v12015
SwapRec: Warming Up Cold Items Through Training-Time Swaps
Marta Moscati, Jan Malte Lichtenberg, Davide Abbattista +3
cs.IRcs.MMarXiv:2609.00913v12026
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang +6
cs.CLcs.IRarXiv:2108.06712v32021
Representation learning for very short texts using weighted word embedding aggregation
Cedric De Boom, Steven Van Canneyt, Thomas Demeester +1
cs.IRcs.CLarXiv:1607.00570v12016
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
Qinggang Zhang, Shengyuan Chen, Yuanchen Bei +9
cs.CLcs.AIcs.IRarXiv:2501.13958v32025
Stopwords in Technical Language Processing
Serhad Sarica, Jianxi Luo
cs.IRcs.CLarXiv:2006.02633v12020
LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders
Zheng Chai, Qin Ren, Xijun Xiao +14
cs.IRarXiv:2505.04421v22025
Self-Supervised Hypergraph Transformer for Recommender Systems
Lianghao Xia, Chao Huang, Chuxu Zhang
cs.IRcs.AIarXiv:2207.14338v12022
OneRec-Think: In-Text Reasoning for Generative Recommendation
Zhanyu Liu, Shiyao Wang, Xingmei Wang +23
cs.IRarXiv:2510.11639v22025
Nonnegative approximations of nonnegative tensors
Lek-Heng Lim, Pierre Comon
math.NAcs.IRarXiv:0903.4530v22009
OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment
Xiangjin Xie, Guangwei Xu, Lingyan Zhao +1
cs.CLcs.AIcs.IRarXiv:2502.14913v12025
Overview of the TREC 2021 deep learning track
Nick Craswell, Bhaskar Mitra, Emine Yilmaz +2
cs.IRcs.AIcs.CLarXiv:2507.08191v12025
UniIR: Training and Benchmarking Universal Multimodal Information Retrievers
Cong Wei, Yang Chen, Haonan Chen +5
cs.CVcs.AIcs.CLarXiv:2311.17136v12023
Multimodal Recommender Systems: A Survey
Qidong Liu, Jiaxi Hu, Yutian Xiao +5
cs.IRcs.AIarXiv:2302.03883v22023
Incremental Pooled LLM Evaluation for Cost-Effective Retrieval Model Selection
Max Nelson, Hanoz Bhathena, Aviral Joshi +1
cs.IRcs.CLarXiv:2609.02745v12026
MTGR: Industrial-Scale Generative Recommendation Framework in Meituan
Ruidong Han, Bin Yin, Shangyu Chen +12
cs.IRarXiv:2505.18654v42025
Counterfactual Explainable Recommendation
Juntao Tan, Shuyuan Xu, Yingqiang Ge +3
cs.IRcs.LGarXiv:2108.10539v32021
OneTrans: Unified Feature Interaction and Sequence Modeling with One Transformer in Industrial Recommender
Zhaoqi Zhang, Haolei Pei, Jun Guo +5
cs.IRarXiv:2510.26104v32025
The Hitchhiker's Guide to Agentic AI: From Foundations to Systems
Haggai Roitman
cs.AIcs.CLcs.IRarXiv:2606.24937v22026
Summaries:한국어
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation
Yuhao Yang, Chao Huang, Lianghao Xia +3
cs.IRcs.AIarXiv:2207.05584v22022
SampoNLP: A Self-Referential Toolkit for Morphological Analysis of Subword Tokenizers
Iaroslav Chelombitko, Ekaterina Chelombitko, Aleksey Komissarov
cs.CLcs.IRcs.LGarXiv:2601.04469v12026
Language is All a Graph Needs
Ruosong Ye, Caiqi Zhang, Runhui Wang +2
cs.CLcs.AIcs.IRarXiv:2308.07134v52023
Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning
Xiaolei Wang, Kun Zhou, Ji-Rong Wen +1
cs.CLcs.AIcs.IRarXiv:2206.09363v12022
SciLENS: RL-Driven Autonomous Agents for Scientific Localized Evidence Navigation and Synthesis
Leqi Zheng, Jinbo Su, Yuying Li +10
cs.IRarXiv:2609.03338v12026
Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again
Bernal Jiménez Gutiérrez, Nikolas McNeal, Clay Washington +4
cs.CLcs.IRarXiv:2203.08410v32022
The Laws of Context Allocation: Causal Measurement and Closed-Loop Orchestration in Generative Search
Peiyang Liu, Xi Wang, Di Liang +1
cs.LGcs.CLcs.IRarXiv:2608.23252v12026
Agent Retrieval Bench: Evaluating Repository Context Retrieval for Coding Agents
Bowen Qin, Yi Xie
cs.IRcs.AIcs.CLarXiv:2607.24882v12026
HAKARI-Bench: A Lightweight Benchmark for Comparing Retrieval Architectures and Efficiency Settings under Unified Conditions
Yuichi Tateno
cs.IRcs.CLarXiv:2606.22778v12026
MLAIRE: Multilingual Language-Aware Information Retrieval Evaluation Protocal
Youngjoon Jang, Seongtae Hong, Hyeonseok Moon +1
cs.IRarXiv:2605.07249v12026
Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems
Yilun Zhao, Jinbiao Wei, Tingyu Song +3
cs.CLcs.IRarXiv:2605.04018v12026
RuleMem: Active Rule Memory for Long-Term Conversational Agents
Xingyuan Zeng, Zuohan Wu, Quanming Yao +5
cs.CLcs.IRarXiv:2609.03915v12026
WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent
Xinyu Geng, Peng Xia, Zhen Zhang +11
cs.IRarXiv:2508.05748v32025
When Retrieval Helps: Selective Retrieval for Single-Turn Mental-Health QA
Hyunseo Oh, Chong-Kwon Kim, Yoonhyuk Choi
cs.CLcs.IRarXiv:2609.03454v12026
LLMs for Academic Workflows: An Evaluation of Literature Reviews Generated with Short and Long Context Windows of LLMs
Muhammad Ali Chaudhry, Xinyuan Hao, Haifa Alwahaby
cs.AIcs.HCcs.IRarXiv:2608.26145v12026
HypRQ-VAE: Hyperbolic Item Indexing for Long-Tail-Aware Generative Recommender Systems
Longfeng Wu, Tong Zeng, Giovanni Seni +8
cs.IRarXiv:2609.03369v12026
NeuronGuard: Robust LLM Safety Alignment via Ablation-Aware Safety Signal Redistribution
Anjun Gao, Yueyang Quan, Yufei Xia +2
cs.CRcs.AIcs.IRarXiv:2608.23959v12026
CLIP-CC-Bench: Evaluating Paragraph-Level Video Descriptions in Video-Language Models
Mukhtiar Ali, Harsh Dubey, Sugam Mishra +1
cs.CVcs.IRcs.MMarXiv:2608.04302v12026
AGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation
Bao Long Nguyen Huu, Atsushi Hashimoto
cs.IRcs.AIarXiv:2607.00052v12026
MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot
Xuejiao Zhao, Siyan Liu, Su-Yin Yang +1
cs.CLcs.AIcs.IRarXiv:2502.04413v22025
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences
Yixin Cao, Xiang Wang, Xiangnan He +2
cs.IRarXiv:1902.06236v12019
Towards Effective Structured Context Modeling for Conversational Recommender Systems via Dual-node Monte Carlo Tree Search
Jincheng Zhang, Chen Huang, Wenqiang Lei +2
cs.IRcs.AIarXiv:2609.00618v22026
On the Theoretical Limitations of Embedding-Based Retrieval
Orion Weller, Michael Boratko, Iftekhar Naim +1
cs.IRcs.CLcs.LGarXiv:2508.21038v22025
Summaries:한국어

Information Retrieval

jina-embeddings-v3: Multilingual Embeddings With Task LoRA

hLLM: Single Pass Decoding for Generative Reranking

A Few Brief Notes on DeepImpact, COIL, and a Conceptual Framework for Information Retrieval Techniques

Personalized Transformer for Explainable Recommendation

ViSAR: Training-Free Adaptive-$k$ Retrieval for Visual Document Question Answering

From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs

End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering

Generative Retrieval for E-commerce: Jointly Learning Embedding and Codebook with Same Product Cluster

DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns

LightThinker: Thinking Step-by-Step Compression

Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers

Science overlay maps: a new tool for research policy and library management

jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval

CAMIE: Co-Engagement-Aware Multimodal Item Embeddings for Snap Dynamic Product Ads Retrieval

Graph Neural News Recommendation with Long-term and Short-term Interest Modeling

Index-Free Dynamic Edge Retrieval with Energy-Tail-Aware Partial Scans

TGR: Advancing Industrial Recommendation from Generative-Paradigm Ranking toward Unified Generation and Reasoning

Addressing Complex and Subjective Product-Related Queries with Customer Reviews

SwapRec: Warming Up Cold Items Through Training-Time Swaps

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

Representation learning for very short texts using weighted word embedding aggregation

A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models

Stopwords in Technical Language Processing

LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders

Self-Supervised Hypergraph Transformer for Recommender Systems

OneRec-Think: In-Text Reasoning for Generative Recommendation

Nonnegative approximations of nonnegative tensors

OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment

Overview of the TREC 2021 deep learning track

UniIR: Training and Benchmarking Universal Multimodal Information Retrievers

Multimodal Recommender Systems: A Survey

Incremental Pooled LLM Evaluation for Cost-Effective Retrieval Model Selection

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan

Counterfactual Explainable Recommendation

OneTrans: Unified Feature Interaction and Sequence Modeling with One Transformer in Industrial Recommender

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems

Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation

SampoNLP: A Self-Referential Toolkit for Morphological Analysis of Subword Tokenizers

Language is All a Graph Needs

Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning

SciLENS: RL-Driven Autonomous Agents for Scientific Localized Evidence Navigation and Synthesis

Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again

The Laws of Context Allocation: Causal Measurement and Closed-Loop Orchestration in Generative Search

Agent Retrieval Bench: Evaluating Repository Context Retrieval for Coding Agents

HAKARI-Bench: A Lightweight Benchmark for Comparing Retrieval Architectures and Efficiency Settings under Unified Conditions

MLAIRE: Multilingual Language-Aware Information Retrieval Evaluation Protocal

Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems

RuleMem: Active Rule Memory for Long-Term Conversational Agents

WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent

When Retrieval Helps: Selective Retrieval for Single-Turn Mental-Health QA

LLMs for Academic Workflows: An Evaluation of Literature Reviews Generated with Short and Long Context Windows of LLMs

HypRQ-VAE: Hyperbolic Item Indexing for Long-Tail-Aware Generative Recommender Systems

NeuronGuard: Robust LLM Safety Alignment via Ablation-Aware Safety Signal Redistribution

CLIP-CC-Bench: Evaluating Paragraph-Level Video Descriptions in Video-Language Models

AGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation

MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot

Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences

Towards Effective Structured Context Modeling for Conversational Recommender Systems via Dual-node Monte Carlo Tree Search

On the Theoretical Limitations of Embedding-Based Retrieval