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Podrobná bibliografie
Hlavní autoři:	Stanković, Ranka, Ikonić Nešić, Milica, Petalinkar, Saša, Škorić, Mihailo, Kitanović, Olivera
Médium:	Recurso digital
Jazyk:	angličtina
Vydáno:	Zenodo 2026
Témata:	Knowledge organization QA datasets LLM
On-line přístup:	https://doi.org/10.5281/zenodo.20021561
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Podobné jednotky

Knowledge Graphs: Generating Serbian Inflections with Language Models
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Vydáno: (2025)

Nexarag: Democratizing Reproducible Knowledge Graph Contexts for LLM Research
Autor: Kerby, Thomas, a další
Vydáno: (2026)

WCY Reasoning Traces v1.0 — Void-B Resolution Cycles for AI Epistemic Training
Autor: Yang, Won Chul
Vydáno: (2026)

AI for Science
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GigaByte
Vydáno: (2021)

Emergence Detection in LLama 3 (7b)
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Vydáno: (2025)

Brazilian Linguistic Diversity Platform: Linguistic data for a Brazilian AI
Autor: Freitag, Raquel Meister Ko, a další
Vydáno: (2025)

Chatting with technical documentation
Autor: Ton, Bram, a další
Vydáno: (2025)

Designing a Conceptual Framework for Knowledge Governance in Project-Based Organizations
Autor: Boghrati, Foad, a další
Vydáno: (2019)

Hidden-uncertainty Assessment via Non-verbalized Signatures for Medical QA - Dataset
Autor: D'Urso, Enrico
Vydáno: (2026)

A Knowledge Management System for Health Emergencies: Limiting the Need to Reinvent the Wheel from One Public Health Emergency to Another
Autor: Mayigane, Landry Ndriko, a další
Vydáno: (2024)

Predictive, Asymmetric, Asynchronous Critic (PAAC): A Framework for Real-time, Zero-Latency Self-Improvement in Large Language Models
Autor: Kondo, Kazunori
Vydáno: (2025)

Predictive, Asymmetric, Asynchronous Critic (PAAC): A Framework for Real-time, Zero-Latency Self-Improvement in Large Language Models
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When AI Tells You What You Want to Hear: Sycophantic Behavior of Large Language Models in Dementia Care Settings
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Vydáno: (2026)

FACTURAS ELECTRONICAS CFDI4.0 ANONIMIZADAS PARA TESIS
Autor: Velázquez Gutiérrez, Araceli
Vydáno: (2026)

Pre-registered Falsification of Timing-Based Divergence Decomposition in KV-Cache Compression
Autor: RIGAUD, Régis
Vydáno: (2026)

Extracting infromation from text using an LLM model – first tests
Autor: Carraro, Francesco
Vydáno: (2026)

SYMBIONT: Unifying Eight Biological Swarm Patterns for LLM Agent Coordination
Autor: Gomes, Renato Aparecido
Vydáno: (2026)

Estimating the Impact of Automation on Vocational Education: The Case of Technical Courses
Autor: Lima, Yuri, a další
Vydáno: (2024)

aikenkyu001/iterative_self_healing_benchmark: v1.0.0: Scaffolding Trinity for Deterministic LLM Code Generation
Autor: Miyata, Fumio
Vydáno: (2026)

Executive Summary: AI Privacy Risks and Mitigations in Large Language Models
Autor: Khan, Masood
Vydáno: (2025)

A Multilayer Causal Framework for Geometric, Informational, and Meaning-Level Structure in Large Language Models
Autor: Kawai, Ryoya
Vydáno: (2025)

Desinformación en la IA: El riesgo oculto de la falta de cultura de uso en modelos de lenguaje grande en universitarios
Autor: Gibrán Aguilar Rangel
Vydáno: (2025)

CompreSeed Advantage Catalog: A Comprehensive Analysis of Technical Benefits in Zero-Decompression Semantic AI
Autor: Nakamura, Yoshikazu
Vydáno: (2025)

Differentially Private KV-Cache Transmission for Split LLM Inference
Autor: Yu, Renjie
Vydáno: (2026)

Knowledge Brokers in Education: How Intermediary Organizations Are Bridging the Gap Between Research, Policy and Practice Internationally
Autor: Amanda Cooper
Vydáno: (2015)

Knowledge regarding organ donation of university students in Catholic University of Cuenca: a cross-sectional study
Autor: Andrés Alexis Ramírez-Coronel
Vydáno: (2021)

AI-augmented Cybersecurity Requirements Generation using LLMs | Reproducible Research Package
Autor: Yelmo, Juan Carlos, a další
Vydáno: (2025)

LLM-Generated Glioblastoma Drug Synergy Machine Learning: From Rapid Code Prototypes to Project Deliverables Package
Autor: Kawchak, Kevin
Vydáno: (2025)

pytoon-codec: TOON encoder/decoder for time series and events
Autor: Ribeiro, Diogo
Vydáno: (2025)

Selection Mechanics Framework (SMF): A Structural Perspective on Variability and Its Transformation in Large Language Model Outputs
Autor: Kaneda, Mutsumi
Vydáno: (2026)

Hidden in plain sight: Unraveling compensation disclosure bloat with generative AI and its impact on executive compensation
Autor: Burduli, Lizi, a další
Vydáno: (2026)

Developer Utilities Reference Data: Token Costs, Model Pricing, and Text Processing Benchmarks
Autor: Khare, Mohit
Vydáno: (2026)

LLM4Weather Dataset (Bundle Batch 11) LatBins[-20.00~-14.00]
Autor: ZHANG
Vydáno: (2025)

Board Effectiveness and Intellectual Capital Disclosure: Insights From Knowledge‐Based Industries
Autor: Vladimir Dzenopoljac, a další
Vydáno: (2026)

Knowledge Waste & Knowledge Loss - What is it All About?
Autor: Helio A. Ferenhof
Vydáno: (2016)

Extra Large Language Models Benchmarking for Medicinal Chemistry
Autor: Kawchak, Kevin
Vydáno: (2024)

Does ChatGPT Scrape Video Essays - Venkman in 4:3
Autor: Donnelly, Cormac
Vydáno: (2025)

Shallow Pass Budget Constraints and Structured Data Trade-offs in LLM Training Ingestion
Autor: Mas, Joseph
Vydáno: (2026)

DEF_PURPOSE - Immutable Alignment Drift Prevention Mechanism for LLM Architectures
Autor: Ochej, Stéphane
Vydáno: (2026)