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 38
From Interests to Semantic IDs: Retrieval-Grounded Credit Assignment for Generative Recommendation
Semantic IDs (SIDs) encode each catalog item as a short token sequence, enabling generative recommenders to predict the next item autoregressively.Advancing Model Research in AgentX: Long-Horizon Autonomy for Industrial Recommender Systems
Sustaining industrial recommendation research requires using the results of one experiment to decide what to investigate next.Return or Revise? Learning When Revision Helps Retrieval-Augmented QA
We consider the decision of whether to return an existing draft answer or revise it using retrieved evidence, as in answer-revision systems.Where Does Retrieval-Based Open-Ended Evaluation Fail? Automatic Taxonomy Induction from Long-Form Medical Answer Factuality Verification
Retrieval-based factuality evaluation, where LLM-generated claims are verified against evidence from authoritative medical corpora, has become the dominant paradigm for scalable hallucination…AutoResearch at Production Scale: Failure Modes and a Multi-Agent Framework
Optimizing embedding systems for production recommendation pipelines demands systematic exploration that consumes disproportionate engineering effort at scale.REALMS: An AI-Assistant Conversational System for Real-Time Exact Audience Sizing over High-Dimensional Nested Profiles
Audience sizing is a critical component of digital marketing.Nearest but Not Dearest: Shared Curator-Feedback Infrastructure for Content-Only Search and Recommendation
A deployed B2B music-discovery platform serves both query-driven search (text prompts, vibe tags) and seed-driven recommendation (seed-track and artist stations) over one licensed catalog, one…T-RoPE: Time-Aware Rotary Position Embedding for Sequential Recommendation
Large-scale recommenders increasingly adopt the sequential generative recipe behind large language models, bringing the Transformer into recommendation along with design choices made for text…Embedding Subspace Partitioning for Dynamic Multi-Objective Retrieval
Modern industrial recommender systems must optimize across competing objectives, balancing semantic relevance with business metrics such as engagement and revenue.Epstein Files Engine: Agentic Search for Investigative Journalism
On Jan.When LLM-Based User Profiling Adds Value in Production Streaming Recommendation
Personalized recommendation depends critically on how user representations are constructed from historical behavior.BoundaryMORPH: Budgeted Reranking via Active Set Selection for Diffuse Retrieval
Open-ended queries in modern Retrieval-Augmented Generation (RAG) are increasingly "diffuse," requiring a large set of documents to be assembled into a finite LLM context window.Meet, Compare, or Abstain: LatWeave for Deterministic Multi-Hop Question Answering on Knowledge Lattices
Probabilistic question-answering systems -- whether large language models (LLMs) themselves, retrieval-augmented generation (RAG), or trained multi-hop retrievers -- conflate "what is known" and…Large Knowledge Model: From Papers to a Scientific Reasoning Landscape
Accumulated scientific knowledge advances inquiry when prior findings help researchers choose new questions, design investigations, and interpret results.Automated Extraction of Records of Processing Activities (RoPA) Using Hybrid RAG and Locally Deployed Large Language Models
Vietnam's Personal Data Protection Law (Law No. 91/2025/QH15) and Decree No. 356/2025/ND-CP, effective January 1, 2026, require organizations to establish and maintain Records of Processing…Seal, Then Sample: Sampled Layerwise Proofs for Verifiable LLM Inference from GPT-2 to 70B
Verifying outsourced language-model inference requires a precisely identified computation and an audit whose cost a service can afford.Test-Time Adaptation with Query-Dependent Residuals for Visual Document Retrieval
Visual document retrieval (VDR) systems depend on page embeddings computed before deployment, which makes adaptation difficult when encoder parameters or corpus re-encoding are unavailable.A Flexible Recommendation System for Individuals and Groups
Group recommender systems typically rely on either aggregating individual preferences or treating groups as distinct meta-users.LLM-Assisted Workflow for Structural Difference Visualization in Evolving Software Requirements
This paper presents an LLM-assisted workflow for visualizing structural differences in evolving software require- ments.Evaluating Open-Weight LLMs for Turkish Domain Documents Under Retrieval and Hardware Constraints
Most Turkish-capable large language models (LLMs) are evaluated using general-purpose benchmarks rather than long, structurally complex domain documents.