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 to 60 of 1,626

HABERTOR: An Efficient and Effective Deep Hatespeech Detector
Thanh Tran, Yifan Hu, Changwei Hu +4
cs.CLcs.AIcs.IRarXiv:2010.08865v12020
Finding Generalizable Evidence by Learning to Convince Q&A Models
Ethan Perez, Siddharth Karamcheti, Rob Fergus +3
cs.CLcs.AIcs.IRarXiv:1909.05863v12019
Keyword search is all you need: Achieving RAG-Level Performance without vector databases using agentic tool use
Shreyas Subramanian, Adewale Akinfaderin, Yanyan Zhang +4
cs.IRcs.AIarXiv:2602.23368v12025
Enabling Large Language Models to Generate Text with Citations
Tianyu Gao, Howard Yen, Jiatong Yu +1
cs.CLcs.IRcs.LGarXiv:2305.14627v22023
Offline Evaluation Measures of Fairness in Recommender Systems
Theresia Veronika Rampisela
cs.IRarXiv:2604.25032v12026
NovBench: Evaluating Large Language Models on Academic Paper Novelty Assessment
Wenqing Wu, Yi Zhao, Yuzhuo Wang +4
cs.CLcs.AIcs.DLarXiv:2604.11543v12026
MGDiff: Multi-Interest Sequence Recommendation with Masking GNN-Guided Diffusion
Wenjing Xiao, Hao Ding
cs.IRarXiv:2609.01619v12026
VideoSET: Video Summary Evaluation through Text
Serena Yeung, Alireza Fathi, Li Fei-Fei
cs.CVcs.CLcs.IRarXiv:1406.5824v12014
Equal Ranking Quality, Different Decisions: Training Order-Consistent LLM Scorers
Markus Frohmann, Mahdiyar Alavi, Elizabeth Lingg +1
cs.CLcs.IRcs.LGarXiv:2608.26762v12026
What is Wrong with Topic Modeling? (and How to Fix it Using Search-based Software Engineering)
Amritanshu Agrawal, Wei Fu, Tim Menzies
cs.SEcs.AIcs.CLarXiv:1608.08176v42016
OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations
Linke Ouyang, Yuan Qu, Hongbin Zhou +17
cs.CVcs.AIcs.IRarXiv:2412.07626v22024
Measuring Semantic Similarity by Latent Relational Analysis
Peter D. Turney
cs.LGcs.CLcs.IRarXiv:cs/0508053v12005
Learn Before Represent: Bridging Generative and Contrastive Learning for Domain-Specific LLM Embeddings
Xiaoyu Liang, Yuchen Peng, Jiale Luo +3
cs.IRcs.AIarXiv:2601.11124v12026
MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions
Kai Zhang, Yi Luan, Hexiang Hu +5
cs.CVcs.AIcs.CLarXiv:2403.19651v22024
Imagine All The Relevance: Scenario-Profiled Indexing with Knowledge Expansion for Dense Retrieval
Sangam Lee, Ryang Heo, SeongKu Kang +1
cs.IRarXiv:2503.23033v22025
Fair and Diverse DPP-based Data Summarization
L. Elisa Celis, Vijay Keswani, Damian Straszak +3
cs.LGcs.CYcs.IRarXiv:1802.04023v12018
Addressing the Item Cold-start Problem by Attribute-driven Active Learning
Yu Zhu, Jinhao Lin, Shibi He +4
cs.IRcs.LGstat.MLarXiv:1805.09023v12018
Understanding AI Provider Recommendations in Local Service Markets
Hazem Ibrahim, Yasir Zaki
cs.CYcs.CLcs.IRarXiv:2609.18341v12026
Quanta: A Self-Contained Python Library for Hybrid Retrieval over Quantised Embeddings, Lexical Indexes, and Knowledge Graphs
Ioannis E. Livieris
cs.IRcs.AIarXiv:2609.18248v12026
LIGE-GR: A Smooth Leap from Ranking to Generative Recommendation in the LLM Era
Venkat Srinivas, Chenzhang He, Sam Woodmansee +59
cs.LGcs.IRarXiv:2609.18148v12026
Beyond Static RAG: An Adaptive, Tri-Metric Routing Framework for Efficient Long-Context Inference on Commodity GPUs
Saipraveen Vabbilisetty, Ajay Kumar Boddepalli, Deep Narayan Mishra +3
cs.LGcs.IRarXiv:2609.17564v12026
GenRec: Large Language Model for Generative Recommendation
Jianchao Ji, Zelong Li, Shuyuan Xu +4
cs.IRcs.AIcs.CLarXiv:2307.00457v22023
Can We Do Interpretable NLI with Graphs Based on Atomic Propositions?
Younes Boufouss, Luc Pommeret, Thomas Gerald +2
cs.AIcs.IRarXiv:2609.16814v22026
PinDCO: Whole-Page Aware Dynamic Creative Optimization at Scale
Yu Hao, Yuchun Li, Peimeng Sui +5
cs.IRcs.LGarXiv:2609.11943v12026
Who Are We Recommending To? Recommender Systems in the Agentic Web
Himan Abdollahpouri, Kyle Kretschman, Sai Ravindranath +2
cs.IRarXiv:2609.11945v12026
Position: Recommender Systems Should Move Beyond Platform-Centric Ranking toward Personal Agent-Mediated Recommendation
Haohan Yuan, Peng He, Dan Zhang +2
cs.IRarXiv:2609.11942v12026
MemRetriever: Learning to Search, Reflect, and Retrieve from Long-Term Memory
Ruiyang Jiang, Chunyu Li, Zhiyu Li
cs.IRarXiv:2609.11951v12026
The Death of Schema Linking? Text-to-SQL in the Age of Well-Reasoned Language Models
Karime Maamari, Fadhil Abubaker, Daniel Jaroslawicz +1
cs.CLcs.AIcs.IRarXiv:2408.07702v22024
InitGen: Candidate Generation for Interaction Initiation in Intelligent Assistants
Ruize Shi, Jinhua Chen, Hong Huang +5
cs.IRarXiv:2609.11953v12026
Let the LLMs Talk: Simulating Human-to-Human Conversational QA via Zero-Shot LLM-to-LLM Interactions
Zahra Abbasiantaeb, Yifei Yuan, Evangelos Kanoulas +1
cs.CLcs.AIcs.IRarXiv:2312.02913v12023
Contrastive Triple Extraction with Generative Transformer
Hongbin Ye, Ningyu Zhang, Shumin Deng +4
cs.CLcs.AIcs.DBarXiv:2009.06207v82020
Semantics-Aware Denoising: A PLM-Guided Sample Reweighting Strategy for Robust Recommendation
Xikai Yang, Yang Wang, Yilin Li +1
cs.IRarXiv:2602.15359v12026
Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization
Daizong Liu, Xiaoye Qu, Xiao-Yang Liu +3
cs.CVcs.IRarXiv:2008.01403v22020
Beyond Quacking: Deep Integration of Language Models and RAG into DuckDB
Anas Dorbani, Sunny Yasser, Jimmy Lin +1
cs.DBcs.AIcs.IRarXiv:2504.01157v12025
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space
Yupeng Hou, Binbin Hu, Zhiqiang Zhang +1
cs.IRcs.AIarXiv:2204.11067v12022
Prompting for Multimodal Hateful Meme Classification
Rui Cao, Roy Ka-Wei Lee, Wen-Haw Chong +1
cs.CLcs.IRcs.MMarXiv:2302.04156v12023
Benchmark Radar: A Living Database and Search Engine for AI Benchmarks and Evaluation
Koutian Wu, Junjie Zhou, Ergan Shang +5
cs.AIcs.IRarXiv:2609.11115v22026
Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems
Liu Yang, Minghui Qiu, Chen Qu +5
cs.IRcs.CLarXiv:1805.00188v32018
RankMixer: Scaling Up Ranking Models in Industrial Recommenders
Jie Zhu, Zhifang Fan, Xiaoxie Zhu +18
cs.IRarXiv:2507.15551v32025
A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search
Mengzhao Wang, Xiaoliang Xu, Qiang Yue +1
cs.IRcs.DBarXiv:2101.12631v22021
A Comparison of Word Embeddings for the Biomedical Natural Language Processing
Yanshan Wang, Sijia Liu, Naveed Afzal +5
cs.IRarXiv:1802.00400v32018
Digital Nudging with Recommender Systems: Survey and Future Directions
Mathias Jesse, Dietmar Jannach
cs.HCcs.IRarXiv:2011.03413v22020
Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue
Wenjie Wang, Fuli Feng, Xiangnan He +2
cs.IRarXiv:2009.09945v42020
Leveraging Low-Level Symbolic Competences for Unsupervised Grounding in Hallucination Detection
Renato Vukovic, Hsien-chin Lin, Carel van Niekerk +5
cs.CLcs.AIcs.IRarXiv:2609.05025v12026
Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs
Yu. A. Malkov, D. A. Yashunin
cs.DScs.CVcs.IRarXiv:1603.09320v42016
MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval
Qiao Jin, Won Kim, Qingyu Chen +4
cs.IRcs.AIcs.CLarXiv:2307.00589v22023
STREAM: An Objective-Driven and Uncertainty-Aware Framework for Industrial Energy Data Acquisition
Zhipeng Ma, Bo Nørregaard Jørgensen, Zheng Grace Ma
cs.IRarXiv:2608.26754v12026
Twitter Sentiment Analysis: Lexicon Method, Machine Learning Method and Their Combination
Olga Kolchyna, Tharsis T. P. Souza, Philip Treleaven +1
cs.CLcs.IRcs.LGarXiv:1507.00955v32015
An Event is Worth One Token: Event Tokenization for Industrial-scale LLM Recommendation
Fan Xia, Zhaoheng Zheng, Iman Setayesh +12
cs.IRarXiv:2608.25546v12026
A Dataset for Movie Description
Anna Rohrbach, Marcus Rohrbach, Niket Tandon +1
cs.CVcs.CLcs.IRarXiv:1501.02530v12015
DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation
Liangwei Yang, Shengjie Wang, Yunzhe Tao +4
cs.IRarXiv:2211.10486v22022
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review
Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T Dudley +3
cs.CYcs.AIcs.CLarXiv:1908.05780v12019
Video In Sentences Out
Andrei Barbu, Alexander Bridge, Zachary Burchill +15
cs.CVcs.CLcs.IRarXiv:1408.6418v12014
Redakto - The Incognito Tab for LLMs
Saurav Kumar Saha, Tom Röhr, Felix Bießmann
cs.AIcs.CLcs.CRarXiv:2608.18260v12026
Sparse Subspace Clustering: Algorithm, Theory, and Applications
Ehsan Elhamifar, Rene Vidal
cs.CVcs.IRcs.ITarXiv:1203.1005v32012
IndicMedDialog: A Parallel Multi-Turn Medical Dialogue Dataset for Accessible Healthcare in Indic Languages
Shubham Kumar Nigam, Suparnojit Sarkar, Piyush Patel
cs.CLcs.AIcs.IRarXiv:2605.13292v12026
From Frequency to Meaning: Vector Space Models of Semantics
Peter D. Turney, Patrick Pantel
cs.CLcs.IRcs.LGarXiv:1003.1141v12010
$\mathrm{ECI}_{\mathrm{sem}}$: Semantic Residual Effective Contrastive Information for Evaluating Hard Negatives
Aarush Sinha, Rahul Seetharaman, Aman Bansal
cs.IRcs.AIarXiv:2603.20990v42026
Generating Sentiment-Preserving Fake Online Reviews Using Neural Language Models and Their Human- and Machine-based Detection
David Ifeoluwa Adelani, Haotian Mai, Fuming Fang +3
cs.CLcs.CRcs.IRarXiv:1907.09177v22019
Autoregressive Entity Retrieval
Nicola De Cao, Gautier Izacard, Sebastian Riedel +1
cs.CLcs.IRcs.LGarXiv:2010.00904v32020

Information Retrieval

HABERTOR: An Efficient and Effective Deep Hatespeech Detector

Finding Generalizable Evidence by Learning to Convince Q&A Models

Keyword search is all you need: Achieving RAG-Level Performance without vector databases using agentic tool use

Enabling Large Language Models to Generate Text with Citations

Offline Evaluation Measures of Fairness in Recommender Systems

NovBench: Evaluating Large Language Models on Academic Paper Novelty Assessment

MGDiff: Multi-Interest Sequence Recommendation with Masking GNN-Guided Diffusion

VideoSET: Video Summary Evaluation through Text

Equal Ranking Quality, Different Decisions: Training Order-Consistent LLM Scorers

What is Wrong with Topic Modeling? (and How to Fix it Using Search-based Software Engineering)

OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations

Measuring Semantic Similarity by Latent Relational Analysis

Learn Before Represent: Bridging Generative and Contrastive Learning for Domain-Specific LLM Embeddings

MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions

Imagine All The Relevance: Scenario-Profiled Indexing with Knowledge Expansion for Dense Retrieval

Fair and Diverse DPP-based Data Summarization

Addressing the Item Cold-start Problem by Attribute-driven Active Learning

Understanding AI Provider Recommendations in Local Service Markets

Quanta: A Self-Contained Python Library for Hybrid Retrieval over Quantised Embeddings, Lexical Indexes, and Knowledge Graphs

LIGE-GR: A Smooth Leap from Ranking to Generative Recommendation in the LLM Era

Beyond Static RAG: An Adaptive, Tri-Metric Routing Framework for Efficient Long-Context Inference on Commodity GPUs

GenRec: Large Language Model for Generative Recommendation

Can We Do Interpretable NLI with Graphs Based on Atomic Propositions?

PinDCO: Whole-Page Aware Dynamic Creative Optimization at Scale

Who Are We Recommending To? Recommender Systems in the Agentic Web

Position: Recommender Systems Should Move Beyond Platform-Centric Ranking toward Personal Agent-Mediated Recommendation

MemRetriever: Learning to Search, Reflect, and Retrieve from Long-Term Memory

The Death of Schema Linking? Text-to-SQL in the Age of Well-Reasoned Language Models

InitGen: Candidate Generation for Interaction Initiation in Intelligent Assistants

Let the LLMs Talk: Simulating Human-to-Human Conversational QA via Zero-Shot LLM-to-LLM Interactions

Contrastive Triple Extraction with Generative Transformer

Semantics-Aware Denoising: A PLM-Guided Sample Reweighting Strategy for Robust Recommendation

Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization

Beyond Quacking: Deep Integration of Language Models and RAG into DuckDB

CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space

Prompting for Multimodal Hateful Meme Classification

Benchmark Radar: A Living Database and Search Engine for AI Benchmarks and Evaluation

Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems

RankMixer: Scaling Up Ranking Models in Industrial Recommenders

A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search

A Comparison of Word Embeddings for the Biomedical Natural Language Processing

Digital Nudging with Recommender Systems: Survey and Future Directions

Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue

Leveraging Low-Level Symbolic Competences for Unsupervised Grounding in Hallucination Detection

Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs

MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval

STREAM: An Objective-Driven and Uncertainty-Aware Framework for Industrial Energy Data Acquisition

Twitter Sentiment Analysis: Lexicon Method, Machine Learning Method and Their Combination

An Event is Worth One Token: Event Tokenization for Industrial-scale LLM Recommendation

A Dataset for Movie Description

DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review

Video In Sentences Out

Redakto - The Incognito Tab for LLMs

Sparse Subspace Clustering: Algorithm, Theory, and Applications

IndicMedDialog: A Parallel Multi-Turn Medical Dialogue Dataset for Accessible Healthcare in Indic Languages

From Frequency to Meaning: Vector Space Models of Semantics

$\mathrm{ECI}_{\mathrm{sem}}$: Semantic Residual Effective Contrastive Information for Evaluating Hard Negatives

Generating Sentiment-Preserving Fake Online Reviews Using Neural Language Models and Their Human- and Machine-based Detection

Autoregressive Entity Retrieval