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 34
Just-In-Time Agent Memory with Runtime Agentic Research
Memory is critical for AI agents.Relevance-Resolution Transfer via Scale-Decomposable Fractional Diffusion for Multi-Length Cross-Modal Hash Retrieval
Cross-modal hashing enables efficient retrieval by encoding heterogeneous data into compact binary codes.Eval4DiRec: A Unified and Systematic Evaluation Framework for Diffusion-based Recommender Systems
Leveraging the strong generative capabilities and stable training dynamics of diffusion models, diffusion-based recommender systems (RSs) have recently emerged as a novel recommendation paradigm…EvoSkillRec: Skill-Genome Evolution for Recommender Architecture Discovery
Modern recommender systems advance not only by scaling data and parameters, but also by encoding task-specific inductive biases through architecture, including sparse feature interactions for…Calibrated Uncertainty for Informative Path Planning in Aquatic Environmental Monitoring
Informative Path Planning for scalar field reconstruction uses predictive uncertainty to direct sensing vehicles toward maximally informative locations.No Attention, No Problem: Rethinking Session-based Recommendation with Pure Convolution
Session-based recommendation (SBR) predicts the next choice in a session by analyzing recent interactions.ColNanoVDR: Document-Free Query Distillation for Multi-Vector Visual Document Retrieval via Optimal Transport
Multi-vector retrievers built on vision-language models lead visual document retrieval (VDR), but they run a multi-billion-parameter query encoder on every search.AX is the New AEO
In 2023, AI models answered from training data and hallucinated when it ran out, and businesses were told to seed that knowledge.VEX-Bench: Benchmarking Verification Complexity of LLM-Generated Misinformation
Large language models (LLMs) have made misinformation inexpensive to produce but not to verify, creating a growing asymmetry in the information ecosystem.PEAR: Progressive Evidence-Based AutoResearch for Industrial Search Systems
AutoResearch improves systems through iterative experimentation: agents propose candidate modifications, evaluate them, and use the results to guide subsequent exploration.Recommendation Ranking Off-Policy Evaluation under Ranking-Dependent Examination via Examination-Relevance Decomposition
Off-policy evaluation, which estimates evaluation policy performance from logged data, is key for recommender ranking policies.Mitigating Popularity Bias in Recommendation with Global Listwise Learning and Progressive Bi-Weighting
In recommender systems, user feedback typically follows a long-tail distribution, which leads many recommendation algorithms to exacerbate popularity bias by disproportionately favoring popular items.RenderRank: Learning to Rerank Text with Compressed Visual Tokens
Rendering document text as images allows vision-language models to encode documents as visual tokens, which can reduce input sequence length compared with text input.5W1H+Which: Context-Valid Semantic Indexing with Progressive Ontology Binding
Transforming raw data into queryable knowledge requires both early extraction of reusable information and explicit types, relations, and applicability conditions for particular tasks.Signal or Noise? Modality Contribution and Cooperation in Multimodal GraphRAG
Multimodal knowledge graphs (KGs) integrate information from text, figures, tables, and other modalities into a unified structured representation, with the promise that richer evidence enables…Can Generative Retrievers Learn Semantic IDs Without Forgetting How to Speak?
Generative retrieval (GR) enables end-to-end retrieval by generating document semantic identifiers (SIDs).Rubric-Calibrated Preferences: Cross-Query Calibration of LLM Judgments via Item Response Theory
Rerankers decide which documents users and LLMs see, yet their standard metric, nDCG, relies on human relevance labels that are costly, sparse, noisy, and discretely graded.Structured Interaction, Visual Localization, and Robust Execution for Complex Web Tasks: A Technical Report on the WebRetriever Challenge
This report presents the web agent system developed for the WebRetriever Challenge.Mnemon: Raw Records, Fast Judgments, Slow Thoughts
Long-term memory lets an LLM assistant use a history it can no longer reread, and most memory systems build it by rewriting conversations into facts, graphs or typed memories at write time.GeoOutageBench: Benchmarking Ambiguity-aware, Ontology-grounded Geospatiotemporal KGQA for Multimodal Power Outage and Resilience Analysis
We introduce GeoOutageBench, a benchmark for assessing LLM-based geospatiotemporal KGQA for multimodal outage and resilience analysis.