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 5
Federated Vector Retrieval across Heterogeneous VectorDBs
Vector databases are now core infrastructure for AI retrieval systems, yet many real deployments must serve queries over multiple independently constructed vectorDBs built with different embedding…Measuring User Success in Randomized Search Experiments: Interpreting Good Abandonment in Generative AI Search
Randomized search experiments increasingly evaluate experiences in which large language models answer information needs directly on the results page.LLM-Enhanced Multimodal House Price Prediction using Structured, Textual, and Visual Features
Accurate house price prediction is essential for real estate buyers, sellers, agents, and financial institutions.CREDO: Evidence-Conditioned Credit Assignment for Temporal Reasoning Agents
Temporal Knowledge Graph Question Answering (TKGQA) requires language model agents to retrieve evidence, select relevant facts, and perform multi-step temporal reasoning.CST: Lightweight Risk Triage with Source-Grounded Evidence for Web Discussions
Web communities rely on moderators to catch harmful messages such as insults, hate speech, and scams, but no one can read every message.IncVNM: An Interactive Recommender System with Incremental von Neumann-Morgenstern Utility Learning
In modern recommender systems, users are often presented with products whose outcomes are random.EAGR: Evidence-Guided Adaptive Graph Retrieval
Retrieval-Augmented Generation (RAG) for multi-hop reasoning requires retrieval to adapt as intermediate evidence reveals new information needs.EvoRec: A Unified Self-Evolving Agentic Recommender with Dynamic Reflection Trees
Conventional recommender systems rely on fixed cascaded pipelines, limiting their ability to adapt to evolving user needs and feedback.Same Trajectory, Different Knowledge: Information-State-Aware On-Policy Distillation for Search Agents
On-policy distillation trains search agents with teacher feedback on student-generated trajectories.Multi-criteria Rating and Review based Recommendation Model
These days, due to the advancement of information technology, recommendation system has become one of the key tools for e-commerce business.Multicriteria Recommendation System by Leveraging Predefined, Implicit, and Undefined Criteria
Data sparsity, a long-standing problem in the recommendation system, occurs when the user-item utility matrix is sparse.Adversarial Robustness of Retrieval-Based Fact-Checking: Detecting and Mitigating Evidence Contamination
Retrieval-based fact-checking systems ground verification in large document collections, creating a critical vulnerability: adversarial evidence contamination.Nonreciprocal Spherical Attention and Retrieval: Sharp Coarsening Clocks and Certified Score Correction
We develop nonreciprocal spherical attention as a mathematical framework for coarsening and compressed nearest-neighbor retrieval.DualClusterNet: Personalized Pattern-Space Composition for Next-POI Recommendation
Next point-of-interest (POI) recommendation supports personalized place discovery on location-based Web platforms.WeSearch: A Unified Model-Centric Retrieval Framework for WeChat Search
We present WeSearch, a unified, model-centric retrieval framework for large-scale, continuously evolving content search.ElectroChemLLM: A Multimodal LLM Pipeline for High-Fidelity Electrochemical Informatics
Electrochemistry is central to solving many modern-day challenges, including energy storage systems for a sustainable future, and its advancement relies heavily on the data from past findings.DuSE-Bench: Benchmarking Joint Reasoning over Evolving Dialogue and Documents
Persistent Web information assistants must combine evolving document facts with user requirements established and revised across sessions.HiPaper: A Human-AI Collaborative System for Academic Literature Triage and Scholarly Sensemaking
Scholarly sensemaking requires researchers to iteratively retrieve, collect, and synthesize literature as their understanding evolves.EduExplain: A Benchmark for Explanation-Set Retrieval and Storyboard Construction in Educational Explanation
Generating an educational explanation for a learner's query is not a single retrieval step but a pipeline: a system must first retrieve a compact set of complementary resources--passages, figures…When 200 OK Is Not an Answer: Silent Fetch Failures in Agentic Web Content Acquisition
Web agents and answer engines fetch pages at question time, and liveness checks of cited sources treat an HTTP 200 response as success.