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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1,381 to 1,440 of 1,639

TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation
Keqin Bao, Jizhi Zhang, Yang Zhang +3
cs.IRarXiv:2305.00447v32023
Enrich-Retrieve-Rank: Scaling Capability Discovery Beyond In-Context Routing
Nazib Sorathiya, Daniel Zhang, Bardiya Akhbari
cs.CLcs.AIcs.IRarXiv:2608.22695v12026
Modeling Online Reviews with Multi-grain Topic Models
Ivan Titov, Ryan McDonald
cs.IRcs.DBarXiv:0801.1063v12008
SAGE: Benchmarking and Improving Retrieval for Deep Research Agents
Tiansheng Hu, Yilun Zhao, Canyu Zhang +2
cs.IRcs.CLarXiv:2602.05975v22026
CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data
Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau +4
cs.CLcs.IRcs.LGarXiv:1911.00359v22019
InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem
Shuofei Qiao, Yunxiang Wei, Xuehai Wang +10
cs.CLcs.AIcs.IRarXiv:2602.14367v22026
KILT: a Benchmark for Knowledge Intensive Language Tasks
Fabio Petroni, Aleksandra Piktus, Angela Fan +10
cs.CLcs.AIcs.IRarXiv:2009.02252v42020
Document Ranking with a Pretrained Sequence-to-Sequence Model
Rodrigo Nogueira, Zhiying Jiang, Jimmy Lin
cs.IRcs.LGarXiv:2003.06713v12020
HyTRec: A Hybrid Temporal-Aware Attention Architecture for Long Behavior Sequential Recommendation
Lei Xin, Yuhao Zheng, Ke Cheng +3
cs.IRcs.AIarXiv:2602.18283v12026
Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics
Ziwen Xu, Chenyan Wu, Hengyu Sun +9
cs.CLcs.AIcs.CVarXiv:2602.02343v32026
RecGOAT: Graph Optimal Adaptive Transport for LLM-Enhanced Multimodal Recommendation with Dual Semantic Alignment
Yuecheng Li, Hengwei Ju, Zeyu Song +4
cs.IRcs.AIarXiv:2602.00682v22026
GISA: A Benchmark for General Information-Seeking Assistant
Yutao Zhu, Xingshuo Zhang, Maosen Zhang +9
cs.CLcs.AIcs.IRarXiv:2602.08543v22026
Self-EvolveRec: Self-Evolving Recommender Systems with LLM-based Directional Feedback
Sein Kim, Sangwu Park, Hongseok Kang +6
cs.IRcs.AIarXiv:2602.12612v22026
Counterfactual Reasoning and Learning Systems
Léon Bottou, Jonas Peters, Joaquin Quiñonero-Candela +6
cs.LGcs.AIcs.IRarXiv:1209.2355v52012
Recommendations as Treatments: Debiasing Learning and Evaluation
Tobias Schnabel, Adith Swaminathan, Ashudeep Singh +2
cs.LGcs.AIcs.IRarXiv:1602.05352v22016
Towards a Densing Law for User Representation Learning at Billion-Scale Capacity
Bin Dou, Junru Zhang, Zhaoyi Yuan +6
cs.IRcs.AIarXiv:2608.23392v12026
Learning to Retrieve from Agent Trajectories
Yuqi Zhou, Sunhao Dai, Changle Qu +3
cs.IRcs.AIcs.CLarXiv:2604.04949v12026
Beyond the Grid: Layout-Informed Multi-Vector Retrieval with Parsed Visual Document Representations
Yibo Yan, Mingdong Ou, Yi Cao +6
cs.CLcs.IRarXiv:2603.01666v12026
MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning
Jiejun Tan, Zhicheng Dou, Liancheng Zhang +3
cs.IRcs.AIarXiv:2603.03379v22026
DeepImageSearch: Benchmarking Multimodal Agents for Context-Aware Image Retrieval in Visual Histories
Chenlong Deng, Mengjie Deng, Junjie Wu +10
cs.CVcs.IRarXiv:2602.10809v22026
Precise Zero-Shot Dense Retrieval without Relevance Labels
Luyu Gao, Xueguang Ma, Jimmy Lin +1
cs.IRcs.CLarXiv:2212.10496v12022
Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs
Yu Liang, Zhongjin Zhang, Yuxuan Zhu +10
cs.IRcs.AIarXiv:2602.02338v12026
Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers
Ji Gao, Jack Lanchantin, Mary Lou Soffa +1
cs.CLcs.CRcs.IRarXiv:1801.04354v52018
Better Retrieval, Worse Robustness:How Multi-hop RAG Amplifies Upstream ASR Errors
Zhenghua Bao
cs.CLcs.IReess.ASarXiv:2608.22872v12026
HIRA: A Human-in-the-Loop Retrieval-Augmented Cascade for Document Classification in Regulated Industries
Shangxuan Tian, Yanhui Chen, Carlos Queiroz
cs.AIcs.CVcs.IRarXiv:2608.21792v12026
Agentic Search in the Wild: Intents and Trajectory Dynamics from 14M+ Real Search Requests
Jingjie Ning, João Coelho, Yibo Kong +5
cs.IRcs.CLarXiv:2601.17617v32026
PaperSearchQA: Learning to Search and Reason over Scientific Papers with RLVR
James Burgess, Jan N. Hansen, Duo Peng +5
cs.LGcs.AIcs.CLarXiv:2601.18207v12026
Topic Modeling in Embedding Spaces
Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei
cs.IRcs.CLcs.LGarXiv:1907.04907v12019
Detection and Resolution of Rumours in Social Media: A Survey
Arkaitz Zubiaga, Ahmet Aker, Kalina Bontcheva +2
cs.CLcs.HCcs.IRarXiv:1704.00656v32017
PEARL: Personalized Streaming Video Understanding Model
Yuanhong Zheng, Ruichuan An, Xiaopeng Lin +10
cs.CVcs.AIcs.IRarXiv:2603.20422v12026
TAPAS: Weakly Supervised Table Parsing via Pre-training
Jonathan Herzig, Paweł Krzysztof Nowak, Thomas Müller +2
cs.IRcs.AIcs.CLarXiv:2004.02349v22020
MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens
Yu Chen, Runkai Chen, Sheng Yi +9
cs.CLcs.AIcs.IRarXiv:2603.23516v22026
Texygen: A Benchmarking Platform for Text Generation Models
Yaoming Zhu, Sidi Lu, Lei Zheng +4
cs.CLcs.IRcs.LGarXiv:1802.01886v12018
MemoBrain: Executive Memory as an Agentic Brain for Reasoning
Hongjin Qian, Zhao Cao, Zheng Liu
cs.AIcs.CLcs.IRarXiv:2601.08079v12026
SemEval-2017 Task 4: Sentiment Analysis in Twitter
Sara Rosenthal, Noura Farra, Preslav Nakov
cs.CLcs.IRcs.LGarXiv:1912.00741v12019
Same Agent, Different Answers: A Repeat-Aware Audit of Corpus-Induced Answer Churn in Retrieval-Augmented QA
Jingjie Ning, Xueqi Li
cs.IRcs.CLarXiv:2608.22856v12026
Agentic-R: Learning to Retrieve for Agentic Search
Wenhan Liu, Xinyu Ma, Yutao Zhu +4
cs.IRcs.CLarXiv:2601.11888v12026
PyOD: A Python Toolbox for Scalable Outlier Detection
Yue Zhao, Zain Nasrullah, Zheng Li
cs.LGcs.IRstat.MLarXiv:1901.01588v22019
Long Range Arena: A Benchmark for Efficient Transformers
Yi Tay, Mostafa Dehghani, Samira Abnar +7
cs.LGcs.AIcs.CLarXiv:2011.04006v12020
Revisiting Text Ranking in Deep Research
Chuan Meng, Litu Ou, Sean MacAvaney +1
cs.IRcs.AIcs.CLarXiv:2602.21456v22026
How Well Does Generative Recommendation Generalize?
Yijie Ding, Zitian Guo, Jiacheng Li +8
cs.IRarXiv:2603.19809v12026
KnowMe-Bench: Benchmarking Person Understanding for Lifelong Digital Companions
Tingyu Wu, Zhisheng Chen, Ziyan Weng +8
cs.AIcs.IRarXiv:2601.04745v22026
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Omar Khattab, Arnav Singhvi, Paridhi Maheshwari +10
cs.CLcs.AIcs.IRarXiv:2310.03714v12023
Bias and Debias in Recommender System: A Survey and Future Directions
Jiawei Chen, Hande Dong, Xiang Wang +3
cs.IRarXiv:2010.03240v22020
A Deep Relevance Matching Model for Ad-hoc Retrieval
Jiafeng Guo, Yixing Fan, Qingyao Ai +1
cs.IRarXiv:1711.08611v12017
A Survey on Large Language Models for Recommendation
Likang Wu, Zhi Zheng, Zhaopeng Qiu +9
cs.IRcs.AIarXiv:2305.19860v52023
Multi-Vector Index Compression in Any Modality
Hanxiang Qin, Alexander Martin, Rohan Jha +3
cs.IRcs.CLcs.CVarXiv:2602.21202v12026
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)
Shijie Geng, Shuchang Liu, Zuohui Fu +2
cs.IRcs.AIcs.CLarXiv:2203.13366v72022
Deep Learning Recommendation Model for Personalization and Recommendation Systems
Maxim Naumov, Dheevatsa Mudigere, Hao-Jun Michael Shi +21
cs.IRcs.LGarXiv:1906.00091v12019
Semantic Search over 9 Million Mathematical Theorems
Luke Alexander, Eric Leonen, Sophie Szeto +5
cs.IRcs.AImath.HOarXiv:2602.05216v22026
Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators
Zhengyang Su, Isay Katsman, Yueqi Wang +10
cs.IRcs.CLcs.LGarXiv:2602.22647v22026
Finding statistically significant communities in networks
Andrea Lancichinetti, Filippo Radicchi, Jose' Javier Ramasco +1
physics.soc-phcs.IRcs.SIarXiv:1012.2363v22010
OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAG
Fengran Mo, Zhan Su, Yuchen Hui +6
cs.CLcs.AIcs.IRarXiv:2601.09028v22026
A Survey on Knowledge Graph-Based Recommender Systems
Qingyu Guo, Fuzhen Zhuang, Chuan Qin +4
cs.IRcs.LGstat.MLarXiv:2003.00911v12020
Discrimination in Online Ad Delivery
Latanya Sweeney
cs.IRcs.CYarXiv:1301.6822v12013
Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation
Junliang Yu, Hongzhi Yin, Xin Xia +3
cs.IRarXiv:2112.08679v42021
MTEB: Massive Text Embedding Benchmark
Niklas Muennighoff, Nouamane Tazi, Loïc Magne +1
cs.CLcs.IRcs.LGarXiv:2210.07316v32022
LaSER: Internalizing Explicit Reasoning into Latent Space for Dense Retrieval
Jiajie Jin, Yanzhao Zhang, Mingxin Li +4
cs.CLcs.IRarXiv:2603.01425v12026
$τ$-Knowledge: Evaluating Conversational Agents over Unstructured Knowledge
Quan Shi, Alexandra Zytek, Pedram Razavi +2
cs.AIcs.CLcs.IRarXiv:2603.04370v12026
Fast Matrix Factorization for Online Recommendation with Implicit Feedback
Xiangnan He, Hanwang Zhang, Min-Yen Kan +1
cs.IRarXiv:1708.05024v12017

Information Retrieval

TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

Enrich-Retrieve-Rank: Scaling Capability Discovery Beyond In-Context Routing

Modeling Online Reviews with Multi-grain Topic Models

SAGE: Benchmarking and Improving Retrieval for Deep Research Agents

CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem

KILT: a Benchmark for Knowledge Intensive Language Tasks

Document Ranking with a Pretrained Sequence-to-Sequence Model

HyTRec: A Hybrid Temporal-Aware Attention Architecture for Long Behavior Sequential Recommendation

Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics

RecGOAT: Graph Optimal Adaptive Transport for LLM-Enhanced Multimodal Recommendation with Dual Semantic Alignment

GISA: A Benchmark for General Information-Seeking Assistant

Self-EvolveRec: Self-Evolving Recommender Systems with LLM-based Directional Feedback

Counterfactual Reasoning and Learning Systems

Recommendations as Treatments: Debiasing Learning and Evaluation

Towards a Densing Law for User Representation Learning at Billion-Scale Capacity

Learning to Retrieve from Agent Trajectories

Beyond the Grid: Layout-Informed Multi-Vector Retrieval with Parsed Visual Document Representations

MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning

DeepImageSearch: Benchmarking Multimodal Agents for Context-Aware Image Retrieval in Visual Histories

Precise Zero-Shot Dense Retrieval without Relevance Labels

Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs

Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers

Better Retrieval, Worse Robustness:How Multi-hop RAG Amplifies Upstream ASR Errors

HIRA: A Human-in-the-Loop Retrieval-Augmented Cascade for Document Classification in Regulated Industries

Agentic Search in the Wild: Intents and Trajectory Dynamics from 14M+ Real Search Requests

PaperSearchQA: Learning to Search and Reason over Scientific Papers with RLVR

Topic Modeling in Embedding Spaces

Detection and Resolution of Rumours in Social Media: A Survey

PEARL: Personalized Streaming Video Understanding Model

TAPAS: Weakly Supervised Table Parsing via Pre-training

MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens

Texygen: A Benchmarking Platform for Text Generation Models

MemoBrain: Executive Memory as an Agentic Brain for Reasoning

SemEval-2017 Task 4: Sentiment Analysis in Twitter

Same Agent, Different Answers: A Repeat-Aware Audit of Corpus-Induced Answer Churn in Retrieval-Augmented QA

Agentic-R: Learning to Retrieve for Agentic Search

PyOD: A Python Toolbox for Scalable Outlier Detection

Long Range Arena: A Benchmark for Efficient Transformers

Revisiting Text Ranking in Deep Research

How Well Does Generative Recommendation Generalize?

KnowMe-Bench: Benchmarking Person Understanding for Lifelong Digital Companions

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Bias and Debias in Recommender System: A Survey and Future Directions

A Deep Relevance Matching Model for Ad-hoc Retrieval

A Survey on Large Language Models for Recommendation

Multi-Vector Index Compression in Any Modality

Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Deep Learning Recommendation Model for Personalization and Recommendation Systems

Semantic Search over 9 Million Mathematical Theorems

Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators

Finding statistically significant communities in networks

OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAG

A Survey on Knowledge Graph-Based Recommender Systems

Discrimination in Online Ad Delivery

Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation

MTEB: Massive Text Embedding Benchmark

LaSER: Internalizing Explicit Reasoning into Latent Space for Dense Retrieval

$τ$-Knowledge: Evaluating Conversational Agents over Unstructured Knowledge

Fast Matrix Factorization for Online Recommendation with Implicit Feedback