Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

Proofreading01:31

Proofreading

6.6K
Synthesis of new DNA molecules is carried out by the enzyme DNA polymerase, which adds nucleotides on the daughter strand complementary to the template DNA strand. DNA polymerase has a higher affinity to add the correct base and ensures fidelity during DNA replication. Furthermore,  it exhibits proofreading activity during replication, using an exonuclease domain that cuts off incorrect nucleotides from the nascent DNA strand.
Errors During Replication are Corrected by the DNA Polymerase...
6.6K
Spanning Openings in Brick Walls01:20

Spanning Openings in Brick Walls

253
In brick wall construction, supporting structures are crucial for openings like windows and doors to maintain the integrity and support the weight of the wall above. These supports include lintels, corbels, and arches, each serving specific structural purposes.
Lintels are primary supports used to span openings and can be crafted from materials such as reinforced concrete, steel-reinforced brick masonry, or simple steel angles. These are straightforward to install and are typically concealed...
253
Hindsight Biases01:12

Hindsight Biases

3.9K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
3.9K
Longitudinal Research02:20

Longitudinal Research

12.4K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.4K
Ogive Graph01:07

Ogive Graph

5.8K
An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
5.8K
Improving Translational Accuracy02:07

Improving Translational Accuracy

2.7K
2.7K

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

Attention guided fair artificial intelligence modeling for skin cancer diagnosis.

NPJ digital medicine·2026
Same author

Multi-modal deep temporal adversarial network based on multi-head self-attention for breast cancer survival prediction.

Computer methods in biomechanics and biomedical engineering·2026
Same author

Unlocking the acquired ultraviolet-resistance and enhanced antioxidant potential of pterostilbene-loaded pharmaceutical-dots.

International journal of pharmaceutics: X·2026
Same author

Artemiannua A, new sesquiterpenoid from the aerial part of <i>artemisia annua</i> with anti-inflammatory activity.

Natural product research·2026
Same author

Recurring transient brain-wide co-activation patterns from EEG spatially resembling time-averaged resting-state networks.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

3D microscope image acquisition method based on a liquid lens with a translational field of view.

Optics express·2026
Same journal

Improving Retrieval-Augmented Generation without Taxonomy-based Error Categorization.

Proceedings of the conference. Association for Computational Linguistics. Meeting·2026
Same journal

RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models.

Proceedings of the conference. Association for Computational Linguistics. Meeting·2026
Same journal

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging.

Proceedings of the conference. Association for Computational Linguistics. Meeting·2026
Same journal

Improving Formality Style Transfer with Context-Aware Rule Injection.

Proceedings of the conference. Association for Computational Linguistics. Meeting·2026
Same journal

SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks.

Proceedings of the conference. Association for Computational Linguistics. Meeting·2025
Same journal

IRIS: Interpretable Retrieval-Augmented Classification for Long Interspersed Document Sequences.

Proceedings of the conference. Association for Computational Linguistics. Meeting·2025
Ver todos los artículos relacionados

Video Experimental Relacionado

Updated: Sep 8, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

565

GraphCheck: Rompiendo barreras de texto a largo plazo con la verificación de hechos impulsada por gráficos de

Yingjian Chen1, Haoran Liu2, Yinhong Liu3

  • 1University of Tokyo.

Proceedings of the conference. Association for Computational Linguistics. Meeting
|August 20, 2025
PubMed
Resumen
Este resumen es generado por máquina.

GraphCheck mejora los modelos de lenguaje grande (LLM) para la precisión de los hechos utilizando gráficos de conocimiento. Este marco mejora la comprobación de hechos de textos médicos y generales, reduciendo errores y costos computacionales.

Más Videos Relacionados

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.7K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

680

Videos de Experimentos Relacionados

Last Updated: Sep 8, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

565
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.7K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

680

Área de la Ciencia:

  • Inteligencia artificial
  • Procesamiento del lenguaje natural
  • Lingüística computacional

Sus antecedentes:

  • Los grandes modelos de lenguaje (LLM) con frecuencia producen errores fácticos sutiles, especialmente en textos extensos.
  • Estas imprecisiones plantean riesgos significativos en campos especializados como la medicina.
  • Los métodos actuales de verificación de hechos luchan con el razonamiento complejo y de múltiples saltos en documentos largos y son computacionalmente costosos.

Objetivo del estudio:

  • Introducir GraphCheck, un nuevo marco de verificación de hechos diseñado para mejorar la precisión de los LLM.
  • Abordar las limitaciones de los métodos de verificación de hechos existentes, incluida su dificultad con el razonamiento de múltiples saltos y las altas demandas computacionales.

Principales métodos:

  • GraphCheck extrae gráficos de conocimiento para enriquecer las representaciones de texto.
  • Las redes neuronales de gráficos procesan estos gráficos como sugerencias suaves para LLMs, integrando el conocimiento estructurado.
  • El marco emplea el razonamiento basado en gráficos para capturar cadenas de razonamiento intrincadas.

Principales resultados:

  • GraphCheck demostró una mejora general de hasta el 7,1% en siete puntos de referencia en el ámbito general y médico.
  • El marco captura efectivamente las cadenas de razonamiento de múltiples saltos a menudo perdidas por otros métodos.
  • GraphCheck logró un rendimiento comparable al estado de la técnica LLM con un número significativamente menor de parámetros.

Conclusiones:

  • GraphCheck ofrece una solución precisa y eficiente para la verificación de hechos de LLM.
  • El marco mejora significativamente la precisión de los hechos, especialmente en ámbitos sensibles a los errores.
  • GraphCheck presenta una alternativa computacionalmente eficiente a los modelos especializados de verificación de hechos existentes.