information-retrieval

Documents about information-retrieval

• Development and Validation of PubMed and Ovid MEDLINE Search Filters for Exposure Pathways Linking Climate Change With Public Health#676077Europe PMC
• Large language models "ad referendum": How good are they at machine translation in the legal domain?#679132OpenAlex
• A computational analysis of aspect-based sentiment analysis research through bibliometric mapping and topic modeling#679352OpenAlex
• Will EU’s GDPR Act as an Effective Enforcer to Gain Consent?#964778OpenAlex
• Domain knowledge, ethical acumen, and query capabilities (DEQ): a framework for generative AI use in education and knowledge work#19969DOAJ
• “The Guardian is credible but leans towards opinion”: Shadow mechanisms in GPT-5’s web search and the politics of credibility#276769OSF
• Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture#279127OpenAlex
• An innovative multi-segment strategy for the classification of legal judgments using the k-nearest neighbour classifier#419016OpenAlex
• Different views of international scientific mobility and collaboration. The case of three peripheral countries in South America: Peru, Colombia and Venezuela#428748Springer Nature OA
• Legal Judgment Prediction Based on Machine Learning: Predicting the Discretionary Damages of Mental Suffering in Fatal Car Accident Cases#679286OpenAlex
• ExecRubrics: Executable Tool-Augmented Rubrics for Verifiable and Efficient Long-Form Evaluation#797655arXiv (OAI Expanded)
• ExecRubrics: Executable Tool-Augmented Rubrics for Verifiable and Efficient Long-Form Evaluation#799078arXiv (All)
• Semantic matching for reviewer assignment: an ablation study of dense retrieval, clustering and llm reasoning#191290OpenMETU
• MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer#335701OpenAlex
• A Hybrid MCDM Model Combining DANP and PROMETHEE II Methods for the Assessment of Cybersecurity in Industry 4.0#443346OpenAlex
• A threat-aware self-healing federated intrusion detection framework for secure IIoT supply-chain networks#474097Springer Nature OA
• Extraction and Utilisation of Metadata from Non-machine-actionable Documents to Improve Data Curation and Discovery, 2024-2025#655206UK Data Service OAI-PMH Repository (Production)
• Auditable by Construction: An Ontology-Driven Framework for Trustworthy LLM Analytics in Enterprise Finance#657086arXiv (OAI Expanded)
• Auditable by Construction: An Ontology-Driven Framework for Trustworthy LLM Analytics in Enterprise Finance#659222arXiv (All)
• Demand-Side Measurement for Generative Engine Optimization: Constructing and Validating a Million-Persona, Intent-Annotated Buyer Corpus#797843arXiv (OAI Expanded)
• Demand-Side Measurement for Generative Engine Optimization: Constructing and Validating a Million-Persona, Intent-Annotated Buyer Corpus#799266arXiv (All)
• Artificial Intelligence-Assisted Digital Inventory of Cultural Heritage & Traditional Knowledge: Case for Indonesian Open Digital Library of Culture#985492arXiv (All)
• Digital Twin-SDN security with adaptive graph entropic intelligence and cross-platform schema harmonization#240997Springer Nature OA
• FISICA: A Deployed Service for Plantar-Pressure and Posture Assessment with Ontology-Grounded Recommendation#790117arXiv (OAI Expanded)
• FISICA: A Deployed Service for Plantar-Pressure and Posture Assessment with Ontology-Grounded Recommendation#794136arXiv (All)
• Towards Automatic Comparison of Data Privacy Documents: A Preliminary Experiment on GDPR-like Laws#964666OpenAlex
• Determining the association between technological, organizational, and environmental factors and accounting software adoption of selected SMEs in the City of Lipa#390697Animo Repository
• Enhancing Financial Question Answering: A Novel Benchmark Dataset of Banks' financial statements#985268arXiv (All)
• Medical Image Data and Datasets in the Era of Machine Learning—Whitepaper from the 2016 C-MIMI Meeting Dataset Session#340969OpenAlex
• PRILJ: an efficient two-step method based on embedding and clustering for the identification of regularities in legal case judgments#679167OpenAlex
• SIM-EVAL-2026: Simulated Evaluation Dataset and Offline Ranking Scripts for BeatHive Sound-Effect Recommendation#357054Figshare
• VITA HealthBench evaluation: model responses and rubric-scoring outputs for 4,023 English-language questions#445384Figshare
• Outil d'aide à la prise de décision en Réunion de Concertation Pluridisciplinaire par apprentissage profond - Application au cancer colorectal#677015HAL (France)
• The Language of the Question Selects the Market: Query Language and Exit IP as Separable Factors in Commercial Recommendations from a Generative Search Interface#797868arXiv (OAI Expanded)
• The Language of the Question Selects the Market: Query Language and Exit IP as Separable Factors in Commercial Recommendations from a Generative Search Interface#799291arXiv (All)
• Noise Pollution: A Multi-Step Approach to Assessing the Consequences of (Not) Validating Search Terms on Automated Content Analyses#233617SUNScholar
• A hybrid deep learning–blockchain framework for reliable fraud detection: a big data–driven approach for real-time FinTech systems#401055Springer Nature OA
• Additional file 1 of Benchmarking MeSH-augmented embeddings for biomedical document similarity#454425Figshare
• Generative AI Large Language Models and Researching the Law#485879LawArXiv
• Too Much Detail Kills the Vibe: Quantifying Lyrical Realism and Pop Music Virality#976900OSF
• Too Much Detail Kills the Vibe: Quantifying Lyrical Realism and Pop Music Virality#680769SocArXiv
• Graph-based precedent case recommendation with statute-aware representations for Turkish jurisprudence#295535OpenMETU
• Somagraphic Learning™ Framework: Industry & Empirical Validation Matrix#374643IDEALS @ University of Illinois Urbana-Champaign
• Somagraphic Learning™ Framework (SLF) | UAE Human-Readiness One-Pager#374647IDEALS @ University of Illinois Urbana-Champaign
• Map Before Machine™ Card (1 pager)#374642IDEALS @ University of Illinois Urbana-Champaign
• Pre-AI Embodied Sense-Making: A Terminology Reference | Somagraphic Learning™ Framework#374644IDEALS @ University of Illinois Urbana-Champaign
• (SSRN preprint, Version 3) Somagraphic Learning™ Framework: A Human-First, AI-Supported Visual Cognitive Approach#374645IDEALS @ University of Illinois Urbana-Champaign
• Map Before Machine™ ppt (UIUC Siebel Center for Design, SHIFT Scholar)#374648IDEALS @ University of Illinois Urbana-Champaign
• Somagraphic Learning™ Framework Pilot Protocol#374646IDEALS @ University of Illinois Urbana-Champaign
• Not AI-made. Soul-made: Reimagining Learning in a Human-First Era#374649IDEALS @ University of Illinois Urbana-Champaign