Cover Image

Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lavrinovics, Ernests, Biswas, Russa, Bjerva, Johannes, Hose, Katja
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence 68-02 I.2.7
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations
by: Lavrinovics, Ernests, et al.
Published: (2025)

Multi-chain Graph Refinement and Selection for Reliable Reasoning in Large Language Models
by: Yang, Yujiao, et al.
Published: (2025)

Raw Text is All you Need: Knowledge-intensive Multi-turn Instruction Tuning for Large Language Model
by: Hou, Xia, et al.
Published: (2024)

Reducing Hallucinations in Summarization via Reinforcement Learning with Entity Hallucination Index
by: Katwe, Praveenkumar, et al.
Published: (2025)

DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models
by: Marjanović, Sara Vera, et al.
Published: (2024)

Mitigating LLM Hallucinations through Domain-Grounded Tiered Retrieval
by: Haque, Md. Asraful, et al.
Published: (2026)

Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods
by: Yu, Haeun, et al.
Published: (2024)

The Impact of Role Design in In-Context Learning for Large Language Models
by: Rouzegar, Hamidreza, et al.
Published: (2025)

A Multiple-Fill-in-the-Blank Exam Approach for Enhancing Zero-Resource Hallucination Detection in Large Language Models
by: Munakata, Satoshi, et al.
Published: (2024)

CLMN: Concept based Language Models via Neural Symbolic Reasoning
by: Yang, Yibo
Published: (2025)

Efficient Adaptive Rejection Sampling for Accelerating Speculative Decoding in Large Language Models
by: Sun, Chendong, et al.
Published: (2025)

LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations
by: Orgad, Hadas, et al.
Published: (2024)

ADE: Adaptive Dictionary Embeddings -- Scaling Multi-Anchor Representations to Large Language Models
by: Demirci, Orhan, et al.
Published: (2026)

ExpliCa: Evaluating Explicit Causal Reasoning in Large Language Models
by: Miliani, Martina, et al.
Published: (2025)

Decouple Searching from Training: Scaling Data Mixing via Model Merging for Large Language Model Pre-training
by: Li, Shengrui, et al.
Published: (2026)

Towards Ontology-Enhanced Representation Learning for Large Language Models
by: Ronzano, Francesco, et al.
Published: (2024)

Large Language Models Report Subjective Experience Under Self-Referential Processing
by: Berg, Cameron, et al.
Published: (2025)

Setting Standards in Turkish NLP: TR-MMLU for Large Language Model Evaluation
by: Bayram, M. Ali, et al.
Published: (2024)

LayerTracer: A Joint Task-Particle and Vulnerable-Layer Analysis framework for Arbitrary Large Language Model Architectures
by: Wu, Yuhang, et al.
Published: (2026)

Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken English
by: Anderson, Bryce, et al.
Published: (2025)

MetaCheckGPT -- A Multi-task Hallucination Detector Using LLM Uncertainty and Meta-models
by: Mehta, Rahul, et al.
Published: (2024)

Recent Advances and Future Directions in Literature-Based Discovery
by: Kastrin, Andrej, et al.
Published: (2025)

Fact Grounded Attention: Eliminating Hallucination in Large Language Models Through Attention Level Knowledge Integration
by: Gupta, Aayush
Published: (2025)

A Comprehensive Survey of Compression Algorithms for Language Models
by: Park, Seungcheol, et al.
Published: (2024)

KIT-TIP-NLP at MultiPride: Continual Learning with Multilingual Foundation Model
by: HB, Barathi Ganesh, et al.
Published: (2026)

Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback
by: Juzek, Tom S., et al.
Published: (2025)

Align-to-Distill: Trainable Attention Alignment for Knowledge Distillation in Neural Machine Translation
by: Jin, Heegon, et al.
Published: (2024)

Beyond Prefixes: Graph-as-Memory Cross-Attention for Knowledge Graph Completion with Large Language Models
by: Liu, Ruitong, et al.
Published: (2025)

Structured Sentiment Analysis as Transition-based Dependency Graph Parsing
by: Fernández-González, Daniel
Published: (2023)

ProSwitch: Knowledge-Guided Instruction Tuning to Switch Between Professional and Non-Professional Responses
by: Zong, Chang, et al.
Published: (2024)

Copyright Detection in Large Language Models: An Ethical Approach to Generative AI Development
by: Szczecina, David, et al.
Published: (2025)

Large Language Models are Inconsistent and Biased Evaluators
by: Stureborg, Rickard, et al.
Published: (2024)

No Memorization, No Detection: Output Distribution-Based Contamination Detection in Small Language Models
by: Sela, Omer
Published: (2026)

Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering
by: Zong, Chang, et al.
Published: (2024)

A Graph-based Approach for Multi-Modal Question Answering from Flowcharts in Telecom Documents
by: Soman, Sumit, et al.
Published: (2025)

Language corpora for the Dutch medical domain
by: van Es, B.
Published: (2026)

LAraBench: Benchmarking Arabic AI with Large Language Models
by: Abdelali, Ahmed, et al.
Published: (2023)

AIPsy-Affect: A Keyword-Free Clinical Stimulus Battery for Mechanistic Interpretability of Emotion in Language Models
by: Keeman, Michael
Published: (2026)

Red Teaming for Large Language Models At Scale: Tackling Hallucinations on Mathematics Tasks
by: Buszydlik, Aleksander, et al.
Published: (2023)

Controlling Long-Horizon Behavior in Language Model Agents with Explicit State Dynamics
by: Subaharan, Sukesh
Published: (2026)