Applied & Human-Centered · Computer Science & AI
Information Retrieval
The newest papers in Information Retrieval that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
979 papers, from 4 September 2026 to 5 November 2026: 979 arXiv preprints.
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Newest papers, page 18
AGR: Agentic Generative Retrieval with Tool-Augmented Search
Large-scale search and recommendation systems derive much of their retrieval quality from rich, heterogeneous features, yet existing generative retrieval (GR) methods struggle to exploit such…MultiCard: Multiple Attribute Cardinality Estimation via Deep Learning
Cardinality estimation is essential for query optimization, but most existing learned estimators focus on a single predicate type, such as string LIKE clauses or numerical range filters.Joint Constraint Aggregation for Qualifier-Sensitive Retrieval-Augmented QA
Retrieval-augmented QA can fail even when the correct answer is in the retrieved evidence.UIBK-Embedding: Effective Text Retrieval by Unifying Dense and Late-Interaction Retrieval
Dense bi-encoders and late-interaction retrievers are usually treated as alternatives, yet they fail on different queries: one vector captures what a text is about, token-level matching finds its…Neighborhood-Aware Unlearning for Generative Recommendation
Generative recommendation predicts items by autoregressively generating semantic identifiers (SIDs), whose tokens are shared across semantically related items.FLINT: Fixed-budget Late Interaction
Multi-vector retrieval models such as ColBERT often outperform single-vector models of comparable scale by matching queries and documents at the token level.SweepANN: A GPU-Accelerated Large-K Approximate Vector Search for Drug Discovery
DrugCLIP places small molecules and protein pockets in one space, turning genome-wide drug discovery into large-K retrieval by vector proximity.Conversational AI for Perceived Cognitive Decline Screening in Older Adults
Early detection of cognitive decline in older adults remains challenging due to the resource demands of standard neuropsychological assessments.FormBench: A Benchmark for Fine-Grained Retrieval in Formulation Patents
We introduce FormBench, a platform for testing the ability of models to retrieve precise chemical information from technical documents.FlexVDR: Learning to Allocate Matryoshka Representation Budgets for Visual Document Retrieval
Visual document retrieval relies on rich multi-vector representations to capture fine-grained evidence in document pages, but encoding and matching these representations can be computationally…Association between Player Perception and AI Disclosure on Steam: An Exploratory Study
The use of generative AI in game development is growing rapidly and is the subject of intense debate in which player reactions play a central role.QProtFuse: Query-Guided Layer Fusion for Retrieval-Augmented Protein Function Prediction
Predicting protein functions from amino acid sequences is essential to understanding biological processes.Deep Search in Real-World Web Environments
Despite substantial progress in Deep Search agents, their ability to conduct end-to-end research in real-world open Web environments remains insufficiently evaluated.Structure-Aligned History Learning with Subspace-Structured Semantic IDs for Generative Recommendation
Generative recommendation constructs semantic IDs for catalog items and predicts the next ID from user interaction histories.Toward Agentic Retrieval-Augmented Generation for Enterprise Retail Workflows over Heterogeneous Data Sources
Enterprise retail workflows require agents to chain evidence across heterogeneous sources, from structured product and order records to unstructured inquiries and reviews, yet existing agentic RAG…RemoteANN: A Native Vector Search Engine for Cloud Object Storage
Vector search engines built on cloud object storage have drawn growing attention from both academia and industry.When Semantics Fall Short: Persona-Guided Cross-Domain Sequential Recommendation with Large Language Models
Cross-domain sequential recommendation (CDSR) alleviates data sparsity by transferring user behaviors across domains.Bridging Concepts: Multi-Agent Reasoning over Scientific Concept Graphs for High-Impact Research Prediction
Within a research community, new topics often emerge when previously unconnected concepts are first studied together.MEMORA: A Memory-Enhanced Multimodal Committee Reranking Agent for Reasoning-Intensive Retrieval
Reasoning-intensive retrieval is fundamentally challenged when queries demand deep semantic inference and arrive in multimodal form.Where and Why Search-Augmented LLMs Fail When Reasoning over Rapidly Evolving Knowledge
As the world changes, new information is published while older records remain online.