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.

Search paper metadata (including unsummarized papers)

1,741 to 1,800 of 2,750

Mind the Execution Gap: Action-Semantic Mismatch in World-Model Control
Shengtao Wen, Xiang Chen, Yu Tian +3
cs.AIcs.CLcs.IRarXiv:2610.06582v12026
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation
Xuheng Cai, Chao Huang, Lianghao Xia +1
cs.IRcs.LGarXiv:2302.08191v32023
DeepNIS: Deep Neural Network for Nonlinear Electromagnetic Inverse Scattering
Lianlin Li, Long Gang Wang, Fernando L. Teixeira +3
cs.IRarXiv:1810.03990v12018
Reducing hallucination in structured outputs via Retrieval-Augmented Generation
Patrice Béchard, Orlando Marquez Ayala
cs.LGcs.AIcs.CLarXiv:2404.08189v12024
A Comparison of Word Embeddings for the Biomedical Natural Language Processing
Yanshan Wang, Sijia Liu, Naveed Afzal +5
cs.IRarXiv:1802.00400v32018
Aligning Biomedical Texts and Knowledge Graphs: A Systematic Comparison of Lightweight Alignment Strategies
Artem Bisliouk, Elizaveta Nosova, Heiko Paulheim +2
cs.CLcs.IRarXiv:2608.23214v12026
When Does Supervised Fine-Tuning Reduce Instruction Sensitivity?
Jaekeol Choi
cs.IRarXiv:2608.26661v12026
Benchmarking Prompt Sensitivity in Large Language Models
Amirhossein Razavi, Mina Soltangheis, Negar Arabzadeh +3
cs.CLcs.AIcs.IRarXiv:2502.06065v12025
Prompt-Level Distillation: A Non-Parametric Alternative to Model Fine-Tuning for Efficient Reasoning
Sanket Badhe, Deep Shah
cs.CLcs.IRarXiv:2602.21103v22026
Recommendation World Models for Future-State Control
Jinfeng Xu, Zheyu Chen, Ziyue Peng +6
cs.IRarXiv:2609.30711v12026
NAIS: Neural Attentive Item Similarity Model for Recommendation
Xiangnan He, Zhankui He, Jingkuan Song +3
cs.IRarXiv:1809.07053v12018
RAGMark: A Comprehensive Framework for Benchmarking Retrieval-Augmented Generation Systems
Zlatan Feric, Amir Taherin, Bin Ren +3
cs.PFcs.AIcs.ARarXiv:2609.05760v12026
UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation
Kelong Mao, Jieming Zhu, Xi Xiao +3
cs.IRarXiv:2110.15114v22021
REDSI: Addressing the Reproducibility and Evaluation Consistency of Differentiable Search Indexing for Document Retrieval
Vivien Nicolas, Hicham Randrianarivo, Pascale Sébillot +1
cs.IRarXiv:2609.08860v12026
The Benchmark Lottery
Mostafa Dehghani, Yi Tay, Alexey A. Gritsenko +5
cs.LGcs.AIcs.CLarXiv:2107.07002v12021
A Roadmap to Pluralistic Alignment
Taylor Sorensen, Jared Moore, Jillian Fisher +9
cs.AIcs.CLcs.IRarXiv:2402.05070v32024
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
Position Focused Attention Network for Image-Text Matching
Yaxiong Wang, Hao Yang, Xueming Qian +4
cs.CLcs.IRcs.LGarXiv:1907.09748v12019
FeatUp: A Model-Agnostic Framework for Features at Any Resolution
Stephanie Fu, Mark Hamilton, Laura Brandt +3
cs.CVcs.AIcs.IRarXiv:2403.10516v22024
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users
Shijun Li, Wenqiang Lei, Qingyun Wu +3
cs.IRcs.LGcs.SIarXiv:2005.12979v52020
MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning
Jiejun Tan, Zhicheng Dou, Liancheng Zhang +3
cs.IRcs.AIarXiv:2603.03379v22026
Preference Flow Matching with Spectral Factorization for Micro-video Recommendation
Xinxin Dong, Haokai Ma, Fei Hu +4
cs.IRarXiv:2608.26579v12026
Multi-label Music Genre Classification from Audio, Text, and Images Using Deep Features
Sergio Oramas, Oriol Nieto, Francesco Barbieri +1
cs.IRarXiv:1707.04916v12017
Learning Dense Representations for Entity Retrieval
Daniel Gillick, Sayali Kulkarni, Larry Lansing +4
cs.CLcs.IRcs.LGarXiv:1909.10506v12019
Asymmetric Dynamic Routing: Balancing Reasoning Depth and Computational Efficiency in Hypergraph RAG
Qi Sun, Yijia Zhang, Xingliang Hou +3
cs.IRarXiv:2609.29282v12026
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba
Jizhe Wang, Pipei Huang, Huan Zhao +3
cs.IRcs.AIarXiv:1803.02349v22018
From Click Modeling to Offline and Off-Policy Evaluation in Carousel Recommendation
Jingwei Kang
cs.IRcs.HCarXiv:2608.22022v12026
Multi-Vector Index Compression in Any Modality
Hanxiang Qin, Alexander Martin, Rohan Jha +3
cs.IRcs.CLcs.CVarXiv:2602.21202v12026
Prompting for Multimodal Hateful Meme Classification
Rui Cao, Roy Ka-Wei Lee, Wen-Haw Chong +1
cs.CLcs.IRcs.MMarXiv:2302.04156v12023
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
Beyond Monolingual Deep Research: Evaluating Agents and Retrievers with Cross-Lingual BrowseComp-Plus
Yuheng Lu, Qingcheng Zeng, Heli Qi +6
cs.CLcs.IRarXiv:2606.15345v22026
From Data to Behavior: Predicting Unintended Model Behaviors Before Training
Mengru Wang, Zhenqian Xu, Junfeng Fang +4
cs.LGcs.AIcs.CLarXiv:2602.04735v12026
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
Yanru Qu, Bohui Fang, Weinan Zhang +5
cs.IRcs.LGstat.MLarXiv:1807.00311v12018
Re-evaluating Evaluation in Text Summarization
Manik Bhandari, Pranav Gour, Atabak Ashfaq +2
cs.CLcs.IRcs.LGarXiv:2010.07100v12020
Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation
Alireza Salemi, Surya Kallumadi, Hamed Zamani
cs.CLcs.IRarXiv:2404.05970v12024
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time
Chantat Eksombatchai, Pranav Jindal, Jerry Zitao Liu +5
cs.IRcs.LGcs.PFarXiv:1711.07601v12017
Hypergraph Embedding Indexing for Efficient Dense Vector Retrieval
Kishore Konda
cs.IRcs.AIarXiv:2608.22980v12026
Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks
Elena Smirnova, Flavian Vasile
cs.IRarXiv:1706.07684v12017
Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses
Pengcheng Jiang, Zhiyi Shi, Kelly Hong +5
cs.AIcs.CLcs.IRarXiv:2606.02373v12026
Structure for Reading, Prose for Writing: Asymmetric Structural Conditioning in Multi-Agent Document Authoring
Cheng Yu, Nikhil Mathew, Zhengjie Wang
cs.AIcs.IRarXiv:2608.20786v12026
TransRetrieval: Scaling Up Transformer-Based Retrieval for Industrial Recommendation
Zhifei Zheng, Yunfei Liu, Bin Liu +7
cs.IRarXiv:2608.25528v12026
Pretrained Transformers for Text Ranking: BERT and Beyond
Jimmy Lin, Rodrigo Nogueira, Andrew Yates
cs.IRcs.CLarXiv:2010.06467v32020
Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models
Julian Killingback, Varad Ingale, Hamed Zamani +1
cs.IRarXiv:2607.05803v12026
Personalized Transfer of User Preferences for Cross-domain Recommendation
Yongchun Zhu, Zhenwei Tang, Yudan Liu +5
cs.IRcs.LGarXiv:2110.11154v32021
Latent-Aligned Reasoning for Multimodal Recommendation
Jiarui Jin, Anyang Ji
cs.IRcs.CLcs.CVarXiv:2609.04645v12026
A Storage-Retrieval Gap in Parametric Knowledge Graph Memory
Martino M. L. Pulici, Cuong Xuan Chu, Evgeny Kharlamov +1
cs.LGcs.CLcs.IRarXiv:2608.25489v12026
Reducing Disparate Exposure in Ranking: A Learning To Rank Approach
Meike Zehlike, Carlos Castillo
cs.IRcs.CYarXiv:1805.08716v52018
Relevance-based Word Embedding
Hamed Zamani, W. Bruce Croft
cs.IRcs.CLcs.LGarXiv:1705.03556v22017
User Behavior Retrieval for Click-Through Rate Prediction
Jiarui Qin, Weinan Zhang, Xin Wu +3
cs.IRarXiv:2005.14171v12020
Neural News Recommendation with Attentive Multi-View Learning
Chuhan Wu, Fangzhao Wu, Mingxiao An +3
cs.CLcs.IRcs.LGarXiv:1907.05576v12019
LLMSecEval: A Dataset of Natural Language Prompts for Security Evaluations
Catherine Tony, Markus Mutas, Nicolás E. Díaz Ferreyra +1
cs.SEcs.IRcs.LGarXiv:2303.09384v12023
Data Poisoning Attacks on Factorization-Based Collaborative Filtering
Bo Li, Yining Wang, Aarti Singh +1
cs.LGcs.CRcs.IRarXiv:1608.08182v22016
When Retrieval Helps: Selective Retrieval for Single-Turn Mental-Health QA
Hyunseo Oh, Chong-Kwon Kim, Yoonhyuk Choi
cs.CLcs.IRarXiv:2609.03454v12026
PARTAB: Partition-Aware Reasoning with Structured Evidence for Scalable Table Understanding
Md Mahadi Hasan Nahid, Davood Rafiei
cs.CLcs.AIcs.IRarXiv:2608.24082v12026
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems
Chang Zhou, Jianxin Ma, Jianwei Zhang +2
cs.IRcs.LGcs.SIarXiv:2005.12964v92020
Improving the Accuracy of Pre-trained Word Embeddings for Sentiment Analysis
Seyed Mahdi Rezaeinia, Ali Ghodsi, Rouhollah Rahmani
cs.CLcs.IRarXiv:1711.08609v12017
SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis
Shuang Sun, Huatong Song, Yuhao Wang +10
cs.CLcs.AIcs.IRarXiv:2505.16834v32025
CoSearch: Joint Training of Reasoning and Document Ranking via Reinforcement Learning for Agentic Search
Hansi Zeng, Liam Collins, Bhuvesh Kumar +2
cs.AIcs.CLcs.IRarXiv:2604.17555v22026
Introducing LETOR 4.0 Datasets
Tao Qin, Tie-Yan Liu
cs.IRarXiv:1306.2597v12013
A Survey of Multimodal Retrieval-Augmented Generation
Lang Mei, Siyu Mo, Zhihan Yang +1
cs.IRcs.AIcs.CLarXiv:2504.08748v12025

Information Retrieval

Mind the Execution Gap: Action-Semantic Mismatch in World-Model Control

LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation

DeepNIS: Deep Neural Network for Nonlinear Electromagnetic Inverse Scattering

Reducing hallucination in structured outputs via Retrieval-Augmented Generation

A Comparison of Word Embeddings for the Biomedical Natural Language Processing

Aligning Biomedical Texts and Knowledge Graphs: A Systematic Comparison of Lightweight Alignment Strategies

When Does Supervised Fine-Tuning Reduce Instruction Sensitivity?

Benchmarking Prompt Sensitivity in Large Language Models

Prompt-Level Distillation: A Non-Parametric Alternative to Model Fine-Tuning for Efficient Reasoning

Recommendation World Models for Future-State Control

NAIS: Neural Attentive Item Similarity Model for Recommendation

RAGMark: A Comprehensive Framework for Benchmarking Retrieval-Augmented Generation Systems

UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation

REDSI: Addressing the Reproducibility and Evaluation Consistency of Differentiable Search Indexing for Document Retrieval

The Benchmark Lottery

A Roadmap to Pluralistic Alignment

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

Position Focused Attention Network for Image-Text Matching

FeatUp: A Model-Agnostic Framework for Features at Any Resolution

Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users

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

Preference Flow Matching with Spectral Factorization for Micro-video Recommendation

Multi-label Music Genre Classification from Audio, Text, and Images Using Deep Features

Learning Dense Representations for Entity Retrieval

Asymmetric Dynamic Routing: Balancing Reasoning Depth and Computational Efficiency in Hypergraph RAG

Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba

From Click Modeling to Offline and Off-Policy Evaluation in Carousel Recommendation

Multi-Vector Index Compression in Any Modality

Prompting for Multimodal Hateful Meme Classification

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

Beyond Monolingual Deep Research: Evaluating Agents and Retrievers with Cross-Lingual BrowseComp-Plus

From Data to Behavior: Predicting Unintended Model Behaviors Before Training

Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data

Re-evaluating Evaluation in Text Summarization

Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation

Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time

Hypergraph Embedding Indexing for Efficient Dense Vector Retrieval

Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks

Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses

Structure for Reading, Prose for Writing: Asymmetric Structural Conditioning in Multi-Agent Document Authoring

TransRetrieval: Scaling Up Transformer-Based Retrieval for Industrial Recommendation

Pretrained Transformers for Text Ranking: BERT and Beyond

Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models

Personalized Transfer of User Preferences for Cross-domain Recommendation

Latent-Aligned Reasoning for Multimodal Recommendation

A Storage-Retrieval Gap in Parametric Knowledge Graph Memory

Reducing Disparate Exposure in Ranking: A Learning To Rank Approach

Relevance-based Word Embedding

User Behavior Retrieval for Click-Through Rate Prediction

Neural News Recommendation with Attentive Multi-View Learning

LLMSecEval: A Dataset of Natural Language Prompts for Security Evaluations

Data Poisoning Attacks on Factorization-Based Collaborative Filtering

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

PARTAB: Partition-Aware Reasoning with Structured Evidence for Scalable Table Understanding

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

Improving the Accuracy of Pre-trained Word Embeddings for Sentiment Analysis

SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis

CoSearch: Joint Training of Reasoning and Document Ranking via Reinforcement Learning for Agentic Search

Introducing LETOR 4.0 Datasets

A Survey of Multimodal Retrieval-Augmented Generation