Applied & Human-Centered · Computer Science & AI
Information Retrieval
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979 papers, from 4 September 2026 to 5 November 2026: 979 arXiv preprints.
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Newest papers, page 37
EngramRAG: Dynamic Usage-Weighted Topology and Synaptic Consolidation for Multi-Hop Agentic Memory
As autonomous LLM agents are deployed across multi-session environments, conventional memory architectures suffer from Associative Blindness (inability to traverse multi-hop relational…On Evaluating and Improving Conversational Agents in Production
We present a framework for evaluating and improving a large-scale, multi-agent shopping assistant in production, and report lessons from its use.Do Evidence-Reading Diagnostics Improve Interface Selection in Small LLM Recommenders?
Behavioral tests measure how a language model reads evidence.Cross-Country Code-Mixing for Generative Recommendation
Cross-country recommendation on modern e-commerce platforms is typically deployed with disjoint user and item ID spaces across markets, removing the shared anchors that conventional cross-domain…Seek: Self-Evaluative Exploration for Knowledge Retrieval
LLM-based retrievers and rerankers have advanced passage ranking, yet both paradigms interact with the corpus in a single pass and commit to the resulting candidate set, leaving relevant documents…Claim-Gated Source-Risk Auditing for Generative Search
A generative search answer can cite a supported passage yet omit a source relationship that changes its interpretation.X-Rec Technical Report
Recent advances in generative modeling have reshaped recommender systems by formulating recommendation as a next-item generation problem.ScalarLens: Numerical Embeddings with Stable Coordinates and Contextual Responses for CTR Prediction
Numerical embeddings for click-through rate (CTR) prediction are built on a convenient but restrictive premise: a scalar has one representation.ASIRF: An Agentic Framework for Context-Dependent Sensitive Information Redaction
Sensitive information is defined by domain and intent, not a universal category, yet redaction systems such as privacy filters and named-entity recognizers fix a taxonomy at training time, requiring…Asymmetric Dynamic Routing: Balancing Reasoning Depth and Computational Efficiency in Hypergraph RAG
While graph-based and hypergraph-based Retrieval-Augmented Generation (RAG) significantly mitigate hallucinations in Large Language Models (LLMs), existing structure-based RAG systems typically…Decoupled Learning and Selection in Slate Recommendation for Privacy and Stability Under Noisy Scores
We formalize slate recommendation as a randomized score learner followed by deterministic selection.A Systematic Multi-Domain Evaluation of Document Retrievers
Document retrieval is a crucial component of many modern AI systems, directly influencing their effectiveness, robustness, and fairness in downstream tasks.CodeGraph: Open-Taxonomy Knowledge Graph for Source Code with Wikidata Grounding
Public software repositories, like GitHub and Software Heritage Archive, store billions of files, yet extracting their implicit engineering knowledge ---i.e., the algorithms they implement, the…SALI: Shot-Aware Late Interaction for Cross-Shot Relation Matching in Text-to-Video Retrieval using Film-Grammar Knowledge
Text-to-video retrieval usually represents a video clip by a single embedding.C3M: Cross-Session Multimodal Memory Maintenance for Long-Horizon Tasks
Long-horizon tasks require preserving and later recovering cross-session evidence under a bounded, query-blind memory budget.SEEK: Skill-Routed Evaluation with Evolvable Knowledge for Industrial Search
Search quality evaluation provides essential supervision and diagnostic signals for the development and iteration of industrial search systems.LSF-SR: Latent Semantic Fusion for Sequential Recommendation via Flow-based Conditional Variational Autoencoders
Sequential recommendation aims to predict users' future interests from their historical interactions.Fair Feed Ranking for Participatory Budgeting
In large-scale participatory budgeting, citizens cannot inspect the full proposal pool, so the order in which proposals are shown becomes a form of agenda-setting power.An Empirical Study of VLM Pipelines for Long-Document QA
Vision-Language Models (VLMs) are increasingly used for long-document processing, where the inputs combine text with charts, tables, figures, and complex layouts.Learning Better Reasoning for Generative Recommendation with Semantic IDs
Generative recommendation reformulates item retrieval as sequence generation, allowing a unified model to directly generate the next item from a user's interaction history.