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 21
NoveltyScope: A Multi-Agent Research Assistant for Evidence-Grounded Novelty Assessment of Scientific Papers
NoveltyScope is a prototype that compares a scientific paper with retrieved prior work and produces a structured report and a five-level novelty score.Improving OCR Accuracy Through Multi-Classifier Verification of Visually Similar Characters
Distinguishing visually similar characters is a persistent challenge for optical character recognition (OCR) systems, causing errors in critical applications of text digitization.RCER: Reconstructing Cross-Evidence Relations for Iterative Retrieval-Augmented Generation
Iterative retrieval-augmented generation (RAG) accumulates knowledge from retrieved evidence to answer complex questions, but existing methods struggle to reconstruct entity correspondences and…AdCoEvo: A Co-Evolving Multi-Agent Advertising Delivery System
Digital advertising is an important means for platforms to reach potential users and drive business growth.Retrieve What Helps, Only When It Helps: Agentic Reinforcement Learning for Selective Retrieval-Augmented Machine Translation
Retrieving external knowledge can improve large language model (LLM) translation by providing supplementary information such as idiom interpretations and terminology.Bridging the Topological Divide: Dual-Branch Graph Distillation with Semantic Priors for Robust Cold-Start Recommendation
Graph Collaborative Filtering models have achieved remarkable success in recommendation systems.Twenty Days Later: A Pre-Registered Test of History-Based Forecasts of Brand Mentions in Gemini Answers
Counts of which brands a large language model names are useful only if they hold long enough to act on.Reading the Neighborhood: Text-Attentive Graph Reranking for Automated Subject Indexing
Subject indexing assigns descriptors from a controlled vocabulary to bibliographic records, a task characterized by thousands of labels, few positive examples per label, and a long tail of rarely…XViewRank: Overlap-Conditioned Score Fusion for LLM-Augmented Sparse Retrieval
Large language models can reduce vocabulary mismatch in sparse retrieval by generating alternative views of a query.HEM-Med: A Hierarchical Agentic Memory Framework for Safe Multi-Center Medication Recommendation
Medication recommendation (MR) is critical for clinical decision support.CASI: Credit Assignment via Set Intervention for Agentic Retrieval
Large language models increasingly generate multiple retrieval actions jointly, while downstream systems often provide only one reward for the resulting set.Creating SquashFS Images to Support HPC and AI Datasets
HPC users often download datasets on HPC systems for analysis and processing.Information-Gain Calibrated On-Policy Distillation for Deep Search Agents
On-policy distillation (OPD) has recently emerged as a promising approach for transferring the capabilities of large agents to compact students.Idea2Prior: Auditable Paper Retrieval and Ranking from Research Ideas
Finding a paper from an informal research idea requires more than matching topic words: relevant work may use different terminology, and its distinguishing mechanism may be absent from the abstract.TransX Technical Report: Scaling Sequence Transduction for Recommendation
We present TransX, a sequence-transduction framework and co-designed infrastructure for scaling industrial recommendation with explicit control over model-compute allocation and execution…Reference Wording Shapes Retrieval of Robot Task Instructions
Identifying a robot task from a short instruction is sensitive to which descriptions are available for retrieval.AiSAQ-in-Filtering for DRAM-free Filtered Information Retrieval
Filtering search is one of the crucial applications of approximate nearest neighbor search (ANNS).RALI@iKAT 2026: Retrieval-aware User Profile Denoising via Personalized Conversational Dense Retrieval
Modern conversational information access systems continuously extract user information from conversations to build user profiles for personalized retrieval.More Reader Data or a Better Teacher? Updating a Model of Crowd Highlights in Late 2026
A model trained on readers' highlights can show a newcomer where earlier readers converged on a page, even on pages with few readers.SSEmb: Training a Generalizable Speech Retrieval Model Using Only Automatic Speech Recognition Data
End-to-end speech-to-text retrieval is becoming an important capability for voice agents, allowing spoken queries to retrieve relevant documents without intermediate transcription.