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 23
From a Large-Scale Teacher to Efficient Multimodal Students for Search Relevance Prediction
Relevance prediction between user queries and items is a fundamental component of e-commerce search systems.EHR-Bench: A Chinese Multi-Task Benchmark for Recruitment AI
Recruitment applications span diverse operations, from drafting job descriptions and interpreting queries to organizing profiles, assessing fit, and recommending candidates and jobs.Separating Prompt Harmfulness from Interaction Safety via Partial Generation
LLM-based information systems need safety guardrails.From Volpiano to Pixels: 30,000 Lines of OMR Ground Truth for Medieval Chant
Optical music recognition (OMR) for medieval chant lacks training data linking manuscript images to musical symbols across notational families.Comparing GenAI to Machine Learning and Manual Review for eDiscovery
Keeling et al. [Keeling2026Generative] report on a case study recently conducted by Redgrave LLP in which they assert that Relativity's Generative AI Review tool (aiR) achieved 88% recall while…KNN Implementation Details Can Dramatically Change Performance: An Example from Cover Trees
Nearest neighbor search algorithms are widely used and have a long history, but we find that key implementation details are seldom reviewed in articles about them.WeGR: Unified Generative Retrieval for Industrial Search Systems in WeChat
Generative retrieval (GR) offers a promising paradigm for industrial search by unifying candidate generation within an autoregressive framework.Tracing Money Flows in the Multi-Token Cryptocurrency Network
Tracing money flows in cryptocurrency transaction networks is challenging because funds can move across accounts, transactions, and token layers.From Conceptual EneMonIE to an Executable Backend: A Modular Architecture for Energy Information Extractionand Grounded Question Answering
The original EneMonIE proposal describes a Web-based semantic system for continuously monitoring energy trends through targeted information extraction from heterogeneous online media.HASTE: Hierarchical and Attribute-aware Supervision for Generative Recommendation
Generative recommendation models have shown promising results by representing items as semantic IDs and generating these IDs autoregressively.Computed, not Memorized: Bit-Factorized Identifiers for Efficient Generative Retrieval
Generative retrieval is known for its efficient end-to-end indexing and retrieval.Retrieving Complementary Evidence for Multi-Hop RAG with Semantic Gain Graphs
Multi-hop retrieval-augmented generation (RAG) requires finding documents whose evidence is useful in combination.Understanding ChatGPT Citations: Evidence from Production Web Search Across Model Generations
Generative engines such as ChatGPT Web retrieve webpages to answer user queries, but only a subset are shown as citations.Toward Explainability in Multimodal Recommendation
Multimodal recommender systems effectively alleviate data sparsity and cold-start problems by integrating heterogeneous information, yet complex cross-modal representations and model decision-making…Federated Semantic Residuals for Multimodal Recommendation
Federated Recommendation Systems (FedRSs) learn collaborative scores from interaction histories on device and rank items by them, so a higher score means a higher rank.Pathwise Alignment for Collaborative Filtering: Bilateral Conditional Flow Regularization
Collaborative filtering predicts user-item interactions from implicit feedback.Rethinking Evidence Modeling: Context-Coupled Graph Learning for Multimodal Recommendation
Multimodal graph recommendation integrates observed interactions with item images and text to learn user preferences.Local Citation Recommendation Without Graph Signals
Resolving correct citations can be a time-consuming task for research writers.KhyontekAI at CheckThat! 2026: Multilingual Dense Retrieval and Cross-Encoder Reranking for Scientific Web Claims
Scientific claims shared through social media platforms frequently reference research findings without explicitly linking to the corresponding scientific publications.Personalized LLM Recommendation with Semantic IDs: Autoregressive Beam Search vs. Multi-Token Prediction
Large-scale personalization is shifting from embedding-table retrieval to LLM-based recommenders that generate the Semantic ID (SID) of the item to recommend, where each SID is a short sequence of…