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 6
PACT: Defending Recommendation against Promotional News Rewriting via Attack-Diverse Score Consistency
Personalized news recommenders are increasingly vulnerable to LLM-powered promotional attacks, where content providers rephrase headlines to manipulate rankings without altering underlying facts.Where Beam Search Loses Top-Ranked Items:First-Step Coverage in Generative Recommendation
Generative recommendation can reproduce a wider beam's ranked output with roughly half the prefix-capacity budget by reallocating retention capacity across semantic-ID positions.Growth of global science: reflections on measurability and scientometric insights
Global science has become much larger and more interconnected in recent years.Numerical Embeddings for CTR Prediction: A Taxonomy, Unified Benchmark, and Open-Source FuxiCTR Extension
Numerical embeddings map scalar features into vectors before a click-through rate (CTR) backbone combines the fields.Do GEO Gains Survive the Live Web? Evaluating In-the-Wild Visibility Gains of Generative Engine Optimization via LIVE-GEO
Generative engine optimization (GEO) rewrites web content so that LLM-based search systems, also termed generative engines (GEs), rank it higher in their answers and recommendations.SIDRec: End-to-End Semantic ID Representation and Modeling for Recommendation
Semantic IDs (SIDs) have emerged as a promising approach for discriminative recommendation by encoding continuous item rep- resentations into compact discrete identifiers.OntoDoc: Automatically Generating Ontology Resource Descriptions
Knowledge graphs and ontologies form the backbone of structured, machine-readable knowledge representation, yet ontology terms often lack natural language descriptions, limiting their accessibility…Improving Ads Ranking Models with Auxiliary Supervision: Techniques and Insights
Accurate prediction of post-click Conversion Rate (CVR) is essential for personalized ad delivery in the advertising industry.Dynamic Click Destinations: Personalizing Post Ad-Click Landing Experiences
Apps that monetize outbound (offsite) ad clicks have multiple post ad-click levers that influence user and business outcomes, including the landing page shown on the advertiser's site, whether the…Wrong Together: Shared Bias in User Simulation
User simulators generate responses in place of human participants, allowing researchers to estimate the result of a study.Context as Infrastructure: Knowledge Compilation for Retrieval in Agentic Systems with Harnesses
Retrieval-augmented generation is becoming agentic.MILES-Rec: Uncovering Implicit Intents from Mobility Behaviors for Cross-Domain POI Recommendation
Map applications bridge everyday mobility with local services, creating opportunities to recommend places by uncovering users' implicit intents.Pix2Evidence: A Multimodal RAG System for Text and Visual Evidence
Retrieval-augmented generation (RAG) over visually rich documents must find both relevant content and the evidence that supports an answer.Defining Page-Centric Visual Document Retrieval and Evaluating Existing Benchmarks
In modern information retrieval (IR), documents are increasingly encountered as structured sequences of visually rich, paginated units, rather than as flat text.BrowseFlow: Sparse Event Flow Matching for Generative User Simulation
User simulation aims to reproduce how users interact with content and products across online platforms.Hierarchical Dual-Graph Retrieval for Long-form Audio Reasoning
Large audio language models (LALMs) struggle with long-form audio reasoning, as processing entire recordings often limits to capture query-relevant content distributed across distant segments while…ProSearch: Benchmarking Multi-Constraint Protocol Retrieval in Experimental Science
In AI for Science scenarios, experimental design and method reproduction require retrieving protocols that satisfy multiple interdependent constraints, yet existing benchmarks lack systematic…Fidelity Synopses: Pre-Execution Plan Selection for Approximate Vector Search
Vector search has become a database operator with many physical implementations: different index families, build-time and search-time parameters, and compressed or disk-resident variants.How BERT-based Cross-Encoders Model Relevance in Information Retrieval?
Cross-encoders are the most effective but also the least efficient models in Information Retrieval.KITE: Retrieval as a Decision Procedure for Long-Term Conversational Memory
Many long-term memory systems for LLM agents are built around embedding-based retrieval.