Imagen de Portada

A Trilogy of AI Safety Frameworks: Paths from Facts and Knowledge Gaps to Reliable Predictions and New Knowledge

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Kasif, Simon
Formato:	Preprint
Publicado:	2024
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Towards a Healthy AI Tradition: Lessons from Biology and Biomedical Science
por: Kasif, Simon
Publicado: (2024)

Mathematical Knowledge Graph-Driven Framework for Equation-Based Predictive and Reliable Additive Manufacturing
por: Cha, Yeongbin, et al.
Publicado: (2026)

Reliable AI Needs to Externalize Implicit Knowledge: A Human-AI Collaboration Perspective
por: Liu, Hengyu, et al.
Publicado: (2026)

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs
por: Xiao, Yilin, et al.
Publicado: (2025)

Capturing Legal Reasoning Paths from Facts to Law in Court Judgments using Knowledge Graphs
por: Kondo, Ryoma, et al.
Publicado: (2025)

DualFact+: A Multimodal Fact Verification Framework for Procedural Video Understanding
por: Oguz, Cennet, et al.
Publicado: (2026)

Knowledge Protocol Engineering: A New Paradigm for AI in Domain-Specific Knowledge Work
por: Zhang, Guangwei
Publicado: (2025)

GUI Knowledge Bench: Revealing the Knowledge Gap of VLMs in GUI Tasks
por: Shi, Chenrui, et al.
Publicado: (2025)

KnowPath: Knowledge-enhanced Reasoning via LLM-generated Inference Paths over Knowledge Graphs
por: Zhao, Qi, et al.
Publicado: (2025)

We Are All Creators: Generative AI, Collective Knowledge, and the Path Towards Human-AI Synergy
por: Linares-Pellicer, Jordi, et al.
Publicado: (2025)

Facts as First Class Objects: Knowledge Objects for Persistent LLM Memory
por: Zahn, Oliver, et al.
Publicado: (2026)

Distilling Reasoning Without Knowledge: A Framework for Reliable LLMs
por: Kietkajornrit, Auksarapak, et al.
Publicado: (2026)

A Reliable Knowledge Processing Framework for Combustion Science using Foundation Models
por: Sharma, Vansh, et al.
Publicado: (2023)

Fair Voting Methods as a Catalyst for Democratic Resilience: A Trilogy on Legitimacy, Impact and AI Safeguarding
por: Pournaras, Evangelos
Publicado: (2025)

Schema-Aware Planning and Hybrid Knowledge Toolset for Reliable Knowledge Graph Triple Verification
por: Ma, Xinyan, et al.
Publicado: (2026)

A Hybrid Knowledge-Grounded Framework for Safety and Traceability in Prescription Verification
por: Zhu, Yichi, et al.
Publicado: (2026)

HALO: Half Life-Based Outdated Fact Filtering in Temporal Knowledge Graphs
por: Ding, Feng, et al.
Publicado: (2025)

Leveraging LLM Parametric Knowledge for Fact Checking without Retrieval
por: Vazhentsev, Artem, et al.
Publicado: (2026)

Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs
por: Ding, Zifeng, et al.
Publicado: (2023)

Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling
por: Yang, Linyao, et al.
Publicado: (2023)

Fact or Fiction? Improving Fact Verification with Knowledge Graphs through Simplified Subgraph Retrievals
por: Opsahl, Tobias A.
Publicado: (2024)

The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphs
por: Kraft, Angelie, et al.
Publicado: (2022)

The Rise of the Knowledge Sculptor: A New Archetype for Knowledge Work in the Age of Generative AI
por: Doyle, Cathal
Publicado: (2025)

HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs
por: Qudus, Umair, et al.
Publicado: (2024)

Enhancing Explainability of Knowledge Learning Paths: Causal Knowledge Networks
por: Wei, Yuang, et al.
Publicado: (2024)

PathISE: Learning Informative Path Supervision for Knowledge Graph Question Answering
por: Gao, Shengxiang, et al.
Publicado: (2026)

AlertStar: Path-Aware Alert Prediction on Hyper-Relational Knowledge Graphs
por: Nayeri, Zahra Makki, et al.
Publicado: (2026)

Edit Knowledge, Not Just Facts via Multi-Step Reasoning over Background Stories
por: Gao, Ya, et al.
Publicado: (2026)

From Fact Overwriting to Knowledge Evolution: Causal Editing via On-Policy Self-Distillation
por: Li, Shuaike, et al.
Publicado: (2026)

The Compressive Knowledge Graph Hypothesis: Which Graph Facts Matter for Scientific Hypothesis Generation?
por: Sourav, Shashwat, et al.
Publicado: (2026)

Has this Fact been Edited? Detecting Knowledge Edits in Language Models
por: Youssef, Paul, et al.
Publicado: (2024)

From Hallucinations to Facts: Enhancing Language Models with Curated Knowledge Graphs
por: Joshi, Ratnesh Kumar, et al.
Publicado: (2024)

When Facts Change: Probing LLMs on Evolving Knowledge with evolveQA
por: Nakshatri, Nishanth Sridhar, et al.
Publicado: (2025)

A Retrieve-and-Read Framework for Knowledge Graph Link Prediction
por: Pahuja, Vardaan, et al.
Publicado: (2022)

Scalable and Reliable Evaluation of AI Knowledge Retrieval Systems: RIKER and the Coherent Simulated Universe
por: Roig, JV
Publicado: (2025)

Explore-Construct-Filter: An Automated Framework for Rich and Reliable API Knowledge Graph Construction
por: Sun, Yanbang, et al.
Publicado: (2025)

Can Large Language Models Bridge the Gap in Environmental Knowledge?
por: Smail, Linda, et al.
Publicado: (2025)

Building Trust in the Skies: A Knowledge-Grounded LLM-based Framework for Aviation Safety
por: Iyengar, Anirudh, et al.
Publicado: (2026)

Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models
por: Hu, Zheng, et al.
Publicado: (2024)

Bridging the Data Gap in AI Reliability Research and Establishing DR-AIR, a Comprehensive Data Repository for AI Reliability
por: Zheng, Simin, et al.
Publicado: (2025)